FACTORS AFFECTING PERCEIVED EDUCATION QUALITY OF BUDDHIST SCHOOLS IN SOUTHERN VIETNAM Dissertation Submitted to European International University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF EDUCATION by Trần Thị Ly Ly Paris, France December 2022 Republic of France EUROPEAN INTERNATIONAL UNIVERSITY 66 Avenue des Champs Elysée’s 75008 Paris GRADUATE PROGRAM APPROVAL SHEET This Dissertation Factors Affecting Perceived Education Quality of Buddhist schools in Southern Vietnam Prepared and submitted by TRẦN THỊ LY LY is hereby recommended for approval and acceptance as requirements for the degree Doctor of Education Prof. Pham Quoc Luyen, PhD.M, PhD.Ed, DBA Advisor PANEL OF EVALUATORS Accepted by the Panel of Evaluators with a grade of ___ ___________ Prof. Dr. Premkumar Rajagopal Chairpersons Prof. Dr. William Wong Prof. Dr. Francis Chen Member Member Approved as a requirement for the degree of Doctor of Education i ABSTRACT The purpose of this quantitative correlation study is to examine the factors affecting Quality of Education in Buddhist schools in Southern Vietnam. This study used a correlational design and a survey research methodology to collect data for the investigation of education quality in Phat Quang social charity center. The core factors identified are: (1) Training program; (2) Faculty & Methods of Instruction; (3) Facilities; and (4) Support learners services. The results of the scale test, regression model and correlation test and research hypothesis test show that the theoretical model built by the author is consistent with the data collected from reality. Through the result of the test of the adjusted R2 parameters, F – test, t- test, and VIF meet the requirement, the model choice factors affecting Perceived Education Quality of Buddhist schools in Southern Vietnam with 04 factors are indicated as follows. QE = 1.574 + 0.289QTS + 0.215CTP + 0.207FA + 0.189SLS The research problems found along with recommendations for solutions to the research problems are also presented in this study. ii ACKNOWLEDGEMENTS I sincerely thank Prof. Dr. Pham Quoc Luyen, a very enthusiastic, sympathetic, and responsible instructor, who cared and answered all questions. He also analyzed and shared the key points, adjusted the unsuitable problems, and helped to limit mistakes in a serious scientific construction like this. iii Table of Contents ABSTRACT......................................................................................................................... i ACKNOWLEDGEMENTS ................................................................................................ ii LIST OF TABLES .............................................................................................................. v LIST OF FIGURES ........................................................................................................... vi Chapter 1. Introduction ................................................................................................. 1 1.1 Background ......................................................................................................... 1 1.2 Statement of the Problem .................................................................................... 7 1.3 Aim and Objectives of the Study ........................................................................ 8 1.4 Research Questions ............................................................................................. 8 1.5 Definition of Key Terms ..................................................................................... 9 1.6 Significance of the Study .................................................................................. 11 1.7 Limitation and delimitation of the study ........................................................... 12 Chapter 2. Literature Review...................................................................................... 15 2.1 Education and Quality of Education ................................................................. 15 2.1.1 Education ...................................................................................................... 15 2.1.2 Quality of Education ..................................................................................... 16 2.1.3 Quality of Buddhism Education .................................................................... 19 2.2 Buddhist education in Vietnam ......................................................................... 20 2.2.1 Role of Buddhist Education .......................................................................... 21 2.2.2 Aims of Buddhist Education .......................................................................... 22 2.2.3 The Establishment of Higher Buddhist Education ........................................ 26 2.2.4 How Buddhism Is Taught .............................................................................. 27 2.2.5 The Sources of Training ................................................................................ 28 2.3 Quality Management in Higher Education Institutions .................................... 30 2.3.1 Assessment Students’ Outcomes ................................................................... 30 2.3.2 The models of quality assurance ................................................................... 35 2.3.3 The important elements in establishing a quality assurance system of higher education ................................................................................................................... 46 2.3.4 Obstacles to QM Implementation ................................................................. 48 2.4 Factors affecting education quality ................................................................... 51 2.4.1 Learning Resources ...................................................................................... 51 2.4.2 Teacher Competency ..................................................................................... 53 2.4.3 Curriculum, Learning Program .................................................................... 57 2.4.4 Teaching Quality ........................................................................................... 59 2.4.5 Facilities for teaching and learning ............................................................. 60 2.4.6 Support staff .................................................................................................. 63 2.5 Conceptual Framework and Hypotheses .......................................................... 64 2.5.1 Some related research models ...................................................................... 64 2.5.2 Conceptual framework .................................................................................. 71 iv 2.5.3 Hypotheses .................................................................................................... 72 2.6 Summary ........................................................................................................... 72 Chapter 3. Research Method ...................................................................................... 74 3.1 Research Methods and Design .......................................................................... 74 3.2 Population and Sample ..................................................................................... 76 3.3 Instruments ........................................................................................................ 79 3.4 Data Collection, Processing, and Analysis ....................................................... 80 3.5 Summary ........................................................................................................... 82 Chapter 4. Findings..................................................................................................... 84 4.1 Demographic Profile of the Respondents ......................................................... 84 4.2 Relationship between the proposed factors and perceived quality of education of Buddhist schools ......................................................................................................... 86 4.2.1 Scales Validity Measurement ........................................................................ 86 4.2.2 Factor Analysis ............................................................................................. 88 4.3 Extent of relationships between proposed factors and perceived quality of education in Buddhist schools in Southern Vietnam .................................................. 92 4.3.1 Correlation analysis...................................................................................... 93 4.3.2 Hypotheses testing with Linear MultiRegression Analysis ........................... 94 4.4 Model presenting the relationships between proposed factors and quality of education in Buddhist schools in Southern Vietnam .................................................. 97 4.5 Differences in Perceived Education Quality of Buddhist schools in Southern Vietnam in terms of other demographic factors ......................................................... 98 4.6 Summary ......................................................................................................... 105 Chapter 5. Discussion, Recommendations, and Conclusions ................................... 106 5.1 Discussion of the findings ............................................................................... 106 5.2 Recommendations ........................................................................................... 110 References ....................................................................................................................... - 1 Appendixes ................................................................................................................... - 10 Appendix A. Questionnaire .................................................................................... - 10 - v LIST OF TABLES Table 2-1 Examples of Formative and Summative Assessments ..................................... 31 Table 2-2 Obstacles to successful QM implementation ................................................... 48 Table 3-1 Data Sampling (N =370) .................................................................................. 79 Table 4-1 Frequencies for Gen ......................................................................................... 84 Table 4-2 Frequencies for Age ......................................................................................... 85 Table 4-3 Frequencies for DEG ........................................................................................ 85 Table 4-4 Frequencies for SEN......................................................................................... 85 Table 4-5 Frequencies for Race ........................................................................................ 86 Table 4-6 Cronbach’s Alpha Coefficients of Scales ......................................................... 87 Table 4-7 The Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s Test of Sphericity (2nd time) for independent variables ............................................................... 89 Table 4-8 Rotated Component Matrix for independent variables .................................... 89 Table 4-9 The Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s Test of Sphericity for dependent variable ..................................................................................... 91 Table 4-10 Rotated Component Matrix for dependent variable ....................................... 92 Table 4-11 Correlation between dependent and independent variables ........................... 93 Table 4-12 Model Summary of MultiRegression Analysis .............................................. 95 Table 4-13 Covariance analysis results............................................................................. 95 Table 4-14 Regression Coeeficicents of the factors relating to QE .................................. 96 Table 4-15 Hypotheses testing results .............................................................................. 97 Table 4-16 Descriptive Statistics on Perceived education quality of Buddhist Schools in Southern Vietnam ............................................................................................................. 99 Table 4-17 Independent Samples Test for Gender toward Perceived education quality of Buddhist Schools ............................................................................................................ 101 Table 4-18 Homogeneity of Variances test using Levene Statistic for Age groups ....... 101 Table 4-19 ANOVA analysis on Perceived education quality of Buddhist Schools per Age group ............................................................................................................................... 102 Table 4-20 Homogeneity of Variances test using Levene Statistic for Program ............ 102 Table 4-21 ANOVA analysis on Perceived education quality of Buddhist Schools per Program ........................................................................................................................... 103 Table 4-22 Homogeneity of Variances test using Levene Statistic for Seniority ........... 103 Table 4-23 ANOVA analysis on Perceived education quality of Buddhist Schools per Seniority .......................................................................................................................... 104 Table 4-24 Homogeneity of Variances test using Levene Statistic for Race ................. 104 Table 4-25 Analysis of Variance with Welch test for Age ............................................. 104 vi LIST OF FIGURES Figure 2-1 Total Quality Management in higher education.............................................. 43 Figure 2-2 Abdullah's model for measuring service quality in higher education (2006) . 66 Figure 2-3 SEAMEO's five-factor model (1999) ............................................................. 68 Figure 2-4 Model of factors affecting the quality of higher education (Le N. T., 2017).. 69 Figure 2-5 Model of factors affecting student outcomes (Vrana et Al., 2015) ................. 69 Figure 2-6 Model of factors affecting the quality of higher education services (Nguyen & Nguyen, 2018)................................................................................................................... 71 Figure 2-7 The Conceptual Framework ............................................................................ 72 Figure 4-1 Final Conceptual Framework of factors affecting the perceived education quality of Buddhist schools in Southern Vietnam ............................................................ 98 1 Chapter 1. Introduction This chapter addresses the key issues that lay the foundation to the study. These include background to the study, statement of the problem, objectives of the study, purpose of the study, significance of the study, scope and limitations of the study as well as definition of the key terms and concepts as used in the study. 1.1 Background Education is one of the fundamental rights of human being. Report to UNESCO of the International Commission on Education for the Twenty-first Century (UNESCO, 2003), this commission saw education throughout life as based upon four pillars: Learning to know acknowledges that learners build their own knowledge daily, combining indigenous and ‘external’ elements.what is learned. Learning to live together addresses the critical skills for a life free from discrimination, where all have equal opportunity to develop themselves, their families and their communities. Learning to be emphasizes the skills needed for individuals to develop their full potential. This conceptualization of education provided an integrated and comprehensive view of learning and, therefore, of what constitutes education quality (Delors et al., 1996). Up to now, the quality of education is still a controversial topic both in academic theory as well as in practical educational management. Because the level of socioeconomic development in each country, region, and learners' awareness is different, the educational goals are other, leading to different definitions of the quality of education. At the World Education Forum held in Dakar, Senegal (2000) in which quality education was a priority, evidence over the past decade showed that efforts to expand 2 enrolment must be accompanied by attempts to enhance educational quality if learners are to be attracted to education, stay there and achieve meaningful learning outcomes. The recent assessments of learning achievements in some countries have shown that a sizeable percentage of children are acquiring only a fraction of the knowledge and skills they are expected to master (WEF, 2000). As a signatory to the treaties that call for free and compulsory education, South Sudan being is duty bound to promote compulsory and quality education. UNESCO (2003, 2004) asserts that the growing emphasis on the need for quality to accompany the expansion of education, however, remains stubbornly secondary to the persistent drive for quality education. Country policies to increase gross enrollment rates are rapidly and possibly being prompted by many factors, including the 2000 United Nations Millennium Declaration for Universal Primary Education (UPE) in all countries, including South Sudan, with no mention of quality concerns. More recent initiatives, such as the World Bank‟s Fast Track Initiative and USAID‟s Millennium Challenge Account, make quality a priority while keeping a strong emphasis on the continued rapid growth of enrollments. The UNESCO document above notes that tension between quantity and quality has characterized education in most developing countries over the last two decades where quality has become an issue so severe that it is described not as a choice but as an imperative (UNESCO, 2004). Education is a basic human right and a significant factor in the development of children, communities, and countries. Opening classroom doors to all children, especially girls, will help break the intergenerational chains of poverty because education is intrinsically linked to all development goals, such as supporting gender empowerment, 3 improving child health and maternal health, reducing hunger, fighting the spread of HIV and diseases of poverty, spurring economic growth, and building peace (UNESCO, 2012). Vietnam is a country where Buddhism has a significant influence in all aspects of the people such as: history, culture, literature and philosophy. Traditional Buddhist Studies have developed rather strongly in the Vietnam Buddhist Academy (VBA) for many years (Nguyen T. Thu, 2008). Buddhism Bachelor Degree granted by VBA has been recognized as the same as abroad Bachelor Degree and has been recruited in many universities for Master Degree in the world such as Japan, China, Taiwan, India and Thailand. VBA in Ho Chi Minh City is allowed for the pilot training program of Buddhist Master from the beginning of year 2012 (VBA, 2015). This is a positive sign and gives a lot of promises for Buddhist education in Vietnam. Quality of education and training of higher education is seen as the key factor to ensure better graduates’ output and gain competitive advantage of the Higher Education Institution (HEIs) (Aaronson, Barrow, and Sander, 2007; Calvo-Porral, Lévy-Mangin, Novo-Corti, 2013; Rivkin, Hanushek & Kain, 2005; Kristoff, 2009; Felch, Song & Smith, 2010). This quality can be affected by the various factors such as teaching staff, materials, labs, library, equipment, and other supporting tools (Gamage, Suwanabroma, Ueyama, Hada, Sekikawa, 2008; Mark, 2013). In the last two decades, the widespread increased of Vietnam's higher education sector has led to quality problems that do not correspond the demands of society and of the nation's development (Luan, 2011). Quality problems in Vietnam should have been anticipated in virtue of the rapid expansion of higher education. In the last 20 years, this includes an unconcern and disregard of quality assurance mechanisms which did not exist before 2005 (Luan, 2011). 4 From the time the Vietnam Buddhist Sangha was established, training Buddhist Monks and Nuns is the top concern of the Buddhist Sangha. Now, there are over 40 Buddhist schools educating many level of degree: from Intermediate to Advanced programs. Moreover, there are also many Buddhist elementary classes which are the basis to enter the Intermediate and two Intermediate level of Lecturers’ classes and two Senior Lecturers’ classes have been opened for training a Buddhist qualified and professional lecturers (Nguyen Q. H., 2013). The system of Buddhism schools has been founded equivalent to half number of provinces in the country. It can be said that Buddhism intermediate level has universalized monks and nuns nationwide. However, education in Vietnam still has some shortcomings. In terms of Buddhist education in Vietnam, it shows that this is a distributed education. Currently, Vietnam has four Academies located in three regions of the country while Buddhism Colleges/Schools have been rushing to open in provinces. This has caused a lot of problems in education (Nguyen, Q. H. 2013). The first is Buddhism school system. If the Buddhism schools compete to open in provinces, the number of monks and nuns in each province will be minimize, let alone student recruitment or enrollment of each college’s year. The input of each college will not ensure qualified standards as well as not ensure quality; if there is lack of Monks and Nuns studying; and if this circumstances take place the course cannot be opened continuously for each class, it will take four or even six years for each class which may cause depression and tiresome for Monks and Nuns. And the worse thing is if they will rely on to others thinking that learning or not learning will finally mark off because no Professor has the heart to rank failed a fourth year student (Vu, 2006). 5 Not having a strong will in emulating learning and interesting life it will make Buddhist monk and nun students to no longer wish for religious life practice and follows only his ideals and as the result the training quality cannot be guaranteed. Furthermore, with the desire to recruit enough quantity of Buddhist Monks and Nuns for the course, students of all knowledge levels are recruited and for students who have not graduated college will have to continue learning to finish the college program so that they can submit and be qualified for receiving a college degree. This has a huge impact on learning quality of Monks and Nuns because they have to learn religious education during the morning, and then learn high colleges program in the afternoon or attend additional high colleges study in the evening and how they can be well- prepared for all of the subjects. Learning in the afternoon influences the practice as well as the holy life of monks and nuns (Vu, 2006). For Vietnam Buddhist education system, it is obviously not a logic system such as: the system is not very consistent from low to high with no textbooks for each leaning grade. In 1981, the Vietnam Higher School of Buddhist Studies was established at Quan Su Pagoda, Hanoi capital. Up to 2019, the Vietnam Buddhist Church has four academies, formerly known as the Vietnamese Higher School of Buddhist Studies: Buddhist Academy in Hanoi, in Hue, in Ho Chi Minh City and in Can Tho City. The college system of Buddhist studies has 8 training institutions for Buddhist college classes and the country currently has 35 Buddhist intermediate schools. Most of the provinces have opened elementary classes in Buddhism (Thich Duc Thien, 2019). The outstanding achievement after 41 years of training monks and nuns is that the Vietnamese Buddhist Sangha has actively sent monks and nuns to study abroad: India, Ceylon, Taiwan, China, Korea, Australia, the United States, Japan, Myanmar, Thailand. 6 Up to now, hundreds of monks and nuns have graduated with master's and doctorate degrees and have returned home to serve in many central departments of the Vietnam Buddhist Sangha. This is the human resource of the Church's monk and nun education training system. With a team of lecturers with qualifications equivalent to domestic and international universities, the Vietnamese Buddhist Sangha has been authorized by the State to train masters and doctoral degrees in Buddhism at the Vietnam Buddhist Academy in Hanoi and VBA in Ho Chi Minh City. Education quality plays a very important role in the country’s economic and social development and human improvement, especially training quality at Buddhist Universities because there are places training the monks who will sensitize people to maintain peace and development in society. However, until today, there is no any quantitative research for the factors affecting the quality of education in Buddhism, the majority of researchers studied on the quality of education in Universities of normal life. The Buddhist Higher Education in Vietnam is currently faced with a series of challenges leading to the failure or the limitation of its role. So, the academic quality of education needs to be reviewed (Nguyen, Q. H, 2013). Nguyen (2008), with research of using SERVPERF scale to measure the quality of higher education; Ngo and Hua (2010), with research of training service and quality values in higher education from the perspective of students of the Finance Marketing University. However, these studies only surveyed objects: students of universities of normal life. Thus, they have not showed the training quality of Buddhist Universities and as a result, they cannot give any common policy for the Buddhist 7 Universities to improve the quality of these Universities’ training services. Then, this study aims to explore the Quality of Education of Buddhist schools in Southern Vietnam. 1.2 Statement of the Problem Although much progress has been made, the current Vietnamese education system, including Buddhist schools, still has many shortcomings such as the imposed program putting too much pressure on learners, the teaching method is not flexible, the lack of good teachers, and supporting facilities, and low teacher salaries do not create motivation in teaching. The educational goals, and determining educational quality criteria are still controversial and inconsistent (Nguyen & Nguyen, 2018). The purpose of Higher Buddhist Education in Vietnam also aims to improve the knowledge of the Buddha teaching, to develop skills of practice and propagation and to bring Buddhist learners to wisdom (paññā) in mind. Buddhist education and training of talented monks has always been one of the important Buddhist activities of the Vietnam Buddhist Sangha. The goal of Buddhist education is to improve the quality of training management, to innovate teaching methods and to study at training institutions for monks and nuns of the Vietnam Buddhist Sangha. The study of Buddhist education in Vietnam is to find the cause of shortcomings, limitation and then to give good solutions which help to improve the quality of education in Vietnam’s Buddhist colleges that will contribute a very significant mission for the prosperity of Vietnam Buddhism. Finding factors affecting the quality of education at Buddhist schools in Southern of Vietnam will help these schools gradually improve their quality of teaching and training through the improvement of each element that results of research have shown. If the 8 Buddhist colleges improve their quality of training, the monks and nuns will benefit. Therefore, it is necessary to study the factors affecting Quality of Education in Buddhist schools in Southern Vietnam in the Contemporary Age. 1.3 Aim and Objectives of the Study This quantitative correlation study aimed to examine the factors affecting Perceived Education Quality of Buddhist schools in Southern Vietnam. To accomplish the above research purpose, the specific objectives that need to be achieved are: 1. To determine the relationship between the proposed factors and Perceived Education Quality in Buddhist schools. 2. To evaluate the extent of relationships between proposed factors and Perceived Education Quality of Buddhist schools in Southern Vietnam; 3. To model the relationships between proposed factors and Perceived Education Quality of Buddhist schools in Southern Vietnam. 4. To explore the any differences in Perceived Education Quality of Buddhist schools in Southern Vietnam in terms of other demographic factors; 1.4 Research Questions Following the issue and the research objectives above, the thesis is done to respond to the following research questions: 1. What is the relationships between the proposed factors and Perceived Education Quality of Buddhist schools? 2. What are the extent of relationships between proposed factors and Perceived Education Quality of Buddhist schools in Southern Vietnam? 9 3. What model can be presented for the relationships between proposed factors and Perceived Education Quality of Buddhist schools in Southern Vietnam? 4. Are there any differences in Perceived Education Quality of Buddhist schools in Southern Vietnam in terms of other demographic factors? 1.5 Definition of Key Terms Education: Education is the process of facilitating learning or the acquisition of knowledge, skills, values, beliefs and habits. Quality education specifically entails issues such as appropriate skills development, gender parity, provision of relevant school infrastructure, equipment, educational materials and resources, scholarships or teaching force (UNESCO, 2017). Quality is the totality of features that influence the results gained in teaching and learning, that is, attaining a certain standard and holistic education Quality education: Every child has the fundamental right to quality education – one that helps them acquire basic literacy and numeracy, enjoy learning without fear, and feel valued and included, irrespective of where they come from. Quality education is supported by three main pillars: availability to qualified teachers, the utilization of quality learning resources and professional development, and the creation of safe and supportive learning environments. Learning Environment: The term learning environment can refer to an educational approach, cultural context, or physical setting in which teaching and learning occur. The term is commonly used as a more definitive alternative to "classroom", but it typically refers to the context of educational philosophy or knowledge experienced by the student and may also encompass a variety of learning cultures—its presiding ethos and 10 characteristics, how individuals interact, governing structures, and philosophy. In a societal sense, learning environment may refer to the culture of the population it serves and of their location. Learning environments are highly diverse in use, learning styles, organization, and educational institution. Material resources: The Material things are related to possessions or money, rather than to more abstract things such as ideas or values. The resources of an organization or person are the materials, money, and other things that they have and can use in order to function properly. Learner characteristics: Learner characteristics refer to defining the attitude, skills, age, gender, and demographics of an individual. This characteristic plays an important role in leading the life ahead, irrespective of being a student, entrepreneur, or a blue-collar worker. More or less, it is the ability to update yourself and make value addition to your overall personality. Teaching and learning: Teaching and learning process can be defined as a transformation process of knowledge from teachers to students. It is referred as the combination of various elements within the process where an educator identifies and establish the learning objectives and develop teaching resources and implement the teaching and learning strategy. On the other hand, learning is a cardinal factor that a teacher must consider while teaching students. Teaching is a set of events, outside the learners which are designed to support internal process of learning. Teaching (Instruction) is outside the learner. Learning is internal to learners. You cannot motivate others if you are not self-motivated. Motives are 11 not seen, but behaviors are seen. Is learning a motive or behavior? Learning is both a motive and behavior but only behavior is seen, learning is internal, performance is external. Supporting policies: Policy support is the provision of policies to support teachers, learners, and school management, in order to create favorable conditions for them to accomplish their educational goals. Support policies include: Strengthen and support school leadership; Stimulate a supportive school climate and environment; Attract, support and retain high quality teachers; Ensure effective classroom learning strategies; Prioritise linking schools with parents and communities. 1.6 Significance of the Study First, the study will identify all the factors that hinder the provision of quality education for children in especially difficult circumstances in Phat Quang social charity center, Kien Giang province, Viet Nam. With this data, the school leadership would come up with interventions for educational programs to improve the quality of education for children. The Kien Giang Department of Education and other localities would benefit from the study as it would enable it to formulate quality policies for primary and secondary school educational programs. Second, the study findings will also benefit head teachers and administrators. They would identify aspects of quality deficiency and adopt appropriate improvements at the level of schools. In addition, the findings would help them to assess the administrative policies in terms of Learning Environment, Learner characteristics, teaching and learning, school facilities, equipment, and resources for the effective provision of quality education. Furthermore, the findings would provide the basis for corrective measures in quality education gaps that require immediate action. 12 Third, teachers are key players in the provision of quality education. The findings will boost their case for training and career development to enhance their knowledge as well as motivate them for better performance. Disadvantaged pupils too will benefit from the findings, especially in maximizing effective student learning habits and other educational benefits. In addition, parents and community members/leaders, sponsors will become more aware of their role in contributing to the provision of quality education and development of schools through active involvement and support. This study will also guide NonGovernment Organizations to make targeted and informed interventions to help the government solve problems in the education sector. Finally, the study will compile data on the provision of quality education which other researchers will find useful and beneficial for their studies. 1.7 Limitation and delimitation of the study This study is limited by the number of participants who completed the survey. The study was limited to participants who agreed to participate voluntarily. Although this study used validated survey instruments, the participants might have had difficulties interpreting the survey questions. The reliability of the data was limited to the self-reported feedback, honesty, social desirability, and recollections of the survey participants. Self-rating bias was likely, as individuals tend to exaggerate their expertise and character (Goh, Lee, & Salleh, 2009). Certain individuals may not necessarily behave in certain ways in a leaderfollower exchange because of their religion. Instead, political and societal context must be considered as an influencing factor over their attitudes and views (Tessler, 2010). 13 The data collection method allows participant self-selection. Thus, potentially introducing self-selection bias in this study. The validity of this study was limited to the reliability of the survey instruments used. Cultural response bias may be another limitation to this study. Researcher bias may limit this study. The independent variables in this study were related to human behavior among Buddhists’ monk and nun students, lectures and school leaders in Vietnam. The researcher is a Buddhist Venerable of Vietnamese. Consequently, the study used proven and validated research instruments for data collection to mitigate any potential researcher bias. Correlation studies are designed to investigate causality among variables, but do not prove causation regardless of the level of the correlation coefficient between the variables. Heterogeneity of the sample may have limited results because sample heterogeneity may have unduly increased the correlation among variables (Steinberg, 2011). Consequently, even if a correlation is the result of a reliable survey instrument, the correlation should not be considered as reliable proof of religion and religiosity influence over teaching practices in the workplace. The sampling method may be a limiting factor to this study. This study is delimited to conducting a survey of Buddhist lectures in Vietnam. The study was focused solely on the relationship between identified factors and job satisfaction of lecturers in Buddhist Schools in Ho Chi Minh City, Vietnam. Buddhism is the focus religions of the study. The use of the survey instruments to derive this study’s analysis and conclusions was another delimitation of the study. The sample of participants was delimited to those who had e-mail addresses and Internet access, and those individuals who responded to the invitations and reminders to participate in this study. 14 This study is delimited to the specific variables identified. Other intervening variables may have been unaccounted. Other factors that may contribute to quality of education in Buddhist Schools in southern of Vietnam are not researched. This study is confined to the instrument that uses Likert-type scales. The different responses available to participants on each survey item may have caused each respondent to judge the interpretation intensity slightly differently (Neuman, 2011). 15 Chapter 2. Literature Review The review of the literature in this chapter focuses on the factors affecting quality of education in the Buddhist Schools in the Southern of Vietnam. The chapter reviews related literature mainly on the quality of education with particular attention on the following subtopics: concept of the quality of education, planning for the quality of education, school environment, content, context, and relevance of teaching and learning for the quality of education. It also reviews the role of teachers in the quality of education, sponsors/donors-community involvement and support in school activities, and school leadership in monitoring and improving the quality of education. 2.1 Education and Quality of Education 2.1.1 Education Education is a process of receiving or giving systematic instruction, especially at a school or university. Three elements under education indicator, which consist of technical skills, intellectual ability, and physical ability, aim to take a closer look at CSDC’s quality education. Education is critical to individual and national well-being. Nevertheless, the CSDC often face challenges in obtaining a proper education (Lingenfelter et al., 2017). The concept of higher education can be defined differently according to the regional or national policy respective. According to the United Republic of Tanzania URT (1998 and 1999 cited in Luhanga, et.al. 2003) higher education refers to “the scope of knowledge and skills imparted within the tertiary level of education, i.e. beyond the primary and secondary level of education”. 16 The key target of higher education institutions is to prepare the workforce who can meet the needs of the people in the societies. According to the United Nations Educational, Scientific and Cultural Organization UNESCO (2013) quality education aims not only at forming trained professional workers but also contributes to the development of individuals who possessed that skills to act and interact in a just society. Despite this fact, the quality of education in higher education institutions in developed and developing countries respectively has been challenged in different dimensions; financing and financial management, human resource management, quality assurance system and learning programmes. 2.1.2 Quality of Education Quality is a very broad and complex category, reflecting the synthesis of economic, technical and social contents. Due to that complexity, there are now many different concepts of quality, it can be seen that, depending on the approach, the concept of quality is understood in different ways, each understanding has a scientific basis andlearning to solve certain goals and tasks in practice. According to ISO 8402, quality is “the set of characteristics of an object, which give it the ability to satisfy stated or implied requirements”. In Harvey and Green's view, quality can be understood as: (i) superiority (or excellence); (ii) is perfection (complete, error-free results); (iii) is fitness for purpose (meeting customer needs); (iv) is the value of money (in terms of investment value); (v) is a transition (from one state to another). According to the Higher Education Reform Program in Southeast Asian countries, the concept of “quality is fitness for purpose” was used. Several other institutions have used the concept of “quality is excellence” to compare the quality of higher education across countries or between different universities. The 17 concept of "quality is added value" is applied to encourage higher education institutions to be interested in continuously improving the quality of teaching and learning. According to Parasuraman et al. (1988), quality is the degree of difference between consumers' expectations about the service and their perception of the outcome of the service. Service quality can be understood as customer satisfaction measured by the difference between the expected quality and the quality achieved. Quality can be defined as exceptional, perfection, fitness for purpose, value for money or transformation. On the other hand, the term quality in management literature has different meanings. It has been variously defined as conformance to specifications, conformance to requirement, defect avoidance and meeting customer expectations. Quality, like beauty, is subjective; it is a matter of personal judgment. All these different definitions seem to have no consensus at all; however, they are correlated. In general, quality education is a rather controversial and vague term (Modi, 2013). According to UNESCO (1990), quality of education includes liberty, numeracy and life skills which are inculcated through teachers, content, methodologies, curriculum, examination systems, policies, management and administration. With these definitions, education is expected to make a contribution to a sustainable human development, quality of life at individual, family, societal and global levels. UNESCO (2004) stresses that education is a human right. Thus, participation in a high quality of education is an important end in itself. The practice of human rights in education and education as a right facilitates the fulfillment of other rights. The primary concern in the quality of education is learning; the teacher is critical. In addition to the inputs, the processes, environment and outputs that surround and foster 18 learning are important as well. They positively affect the quality of education at two levels: the level of the learner in his or her learning environment and the level of the education system that creates and supports the learning experiences. UNESCO (2004) uses a framework for understanding quality of education by identifying five dimensions where different variables contribute to quality of education. These include: i) Learners’ characteristics that affect quality. These are aptitude, school readiness, and perseverance. ii) Context, which also significantly affects quality. This refers to socio-economic and cultural conditions, public resources for education, parental support, and time available for schooling and homework. iii) Inputs are critical in quality monitoring and improvement. They refer to all types of resources (i.e. personnel, facilities, space, equipments and supplies, information) that support the implementation of a program. iv) Teaching and learning approaches which refer to learning time, teaching methods, assessment, feedback, incentives, and class size. v) Outcomes which signal overall quality. These entail literacy, numeracy, life skills, creative and emotional skills, values, and social benefits. Therefore, improving all aspects of quality education means ensuring excellence for all so that recognized and measurable learning outcomes are achieved by all, especially in literacy, numeracy and essential life skills. The Dakar Framework for Action commits nations to the provision of primary education of a good quality. The Forum emphasizes that improving all aspects of education quality means that everyone can achieve better learning outcomes, especially in literacy, numeracy and essential life skills. However, this 19 would have an effect on quality only when quality educational planning is done both at ministerial and school levels. 2.1.3 Quality of Buddhism Education According to Chau, (2010), the quality of Buddhism education is to put education in current time environment, it means evaluating educational objects according to their circumstances and conditions. Generally, looking issues, objects at the overall relationship of all existing elements. To ensure the quality, it requires infrastructure and human resources suitable for education and training environment. Buddha and the Arhat monk preachers, guide students in the big monasticism at the time of Buddha had trained large numbers of Buddhists to join into the Saints; then the following major universities such as the old Na Lan Institute leaded by Long Tho as the Dean and Instruction Committee including a lot of enlighten honorable Buddhists have trained many Monk Saints who have been handed by people from one time to time. Therefore, a spacious facility, fully equipped, suitable for the activities of teaching, learning, meeting of professional Boards is essential. Thus, even more necessary is a Management Board, a Board of Lecturers included those who are talented, ethical, professional knowledge and have good pedagogy methods. Next, education and training requires a sympathy and support of the masses, from government agencies, organizations, agencies and dear friendship individuals. If we think of how the Kings and the Public people support the Buddha monks’ congregation, then we think to the Ly-Tran reign of Vietnam, we will immediately find the education and training needed a large number to follow in many different ways can reach the good results. 20 2.2 Buddhist education in Vietnam Buddhist education in Vietnam. Buddhist was introduced into Vietnam in the beginning of the first century, but until last half of the seventeenth century, Buddhism was just transmitted to southern Vietnam. For more than 300 years, the mission of spreading the Dharma has achieved many accomplishments, but it still has some shortcomings (Ho, 2009). Buddhism Education in Southern Vietnam has developed through the following periods: PERIOD 1744 – 1930. Nature of Buddhist education in this period is essentially a missionary with no specific training programs and no learning level division. However, this period of Buddhist education has set a solid foundation for the development of Buddhism in South of Vietnam (Ho, 2009). PERIOD 1930 – 1950. Southern Buddhist education at this period was wellorganized and got a strong development. There were educational level divisions from Primary, Secondary to Intermediary. There were Academies for both monks and nuns. However, there are still some limitations in education at this period: training regime does not have examinations as well as with no higher levels of college and university (Ho, 2009). PERIOD 1950-1963. Buddhist education at this period developed very systematically, but there was still no connection and unity in the whole country. PERIOD 1964-1975. After the reunification of Buddhism in 1964, the Unified Buddhist Church of Vietnam was born, the education system at the beginning time was belonged to the General Department of Buddhist Rites and Monks. Until the year 1966, it has belonged to General Department of Buddhist Education and Study and there has been an educational program built systematically from low to high level, from Primary, 21 Intermediary to College and University of Buddhist Studies - including both Theravada and Mahayana systems (Ho, 2009). PERIOD 1975-1998. In this period, Buddhist education in Vietnam had a rather completed and unified management apparatus from the Center Institute to the locals (Ho, 2009). FOR THE TIME BEING. After more than 30 years, Vietnam Buddhist Academy (VBA) was established with four Academies, 8 college intakes, 30 Associate intakes, 26 elementary intakes, over 50 monks and nuns graduated Ph.D., Master of Buddhism abroad, and there are nearly 200 monks and nuns’ students studying abroad such as: India, China, Japan, Thailand, Burma, Taiwan. Calculating from the Academies only, there have been 1,938 monks and nuns who have graduated as Buddhist Bachelors and now there are 2, 264 students studying there (Buddhist Education Conference, 2008). Thus, it has showed that the education of VBA achieved significant accomplishments, trained thousands of monks and nuns to serve the academies and country. However, Buddhist education system in Vietnam is not really logical with any consistent system from low to high, no textbooks for each grade (Ho, 2009). 2.2.1 Role of Buddhist Education According to Rahula (2015), Buddhist education aims at a personality transformation into a highest form of humanity through ethical, intellectual and spiritual perfection. These three faculties of perfection of human life undoubtedly lead a man through mundane happiness to supra mundane happiness, which is the highest achievement we all are equally looking for. Therefore, the Buddhist education is grounded on the primary psychological need of all living beings. 22 Buddhist education, in view of the Buddha in the Dharmapada, Chapter 11, the Buddha has showed four contents for the youth education: Intellectual education: to help young people always think and act in the right way; Moral education: to help young people know about the moral society standards and to contribute themselves to society development; Health education: to help young people understand themselves and contribute themselves to the humanity; Vocational propensity education: when a young becomes an adult, they need to have a master career to earn for his life and serve their parents and family. 2.2.2 Aims of Buddhist Education The goal of Buddhist education is to attain wisdom. In Sanskrit, the language of ancient India, the Buddhist wisdom was called Anuttara-Samyak-Sambhodi meaning the perfect ultimate wisdom. The Buddha taught us that the main objective of our practice was to achieve this ultimate wisdom. The chief aim of Buddhist education is all round development of child’s personality. This includes his physical, mental, moral and intellectual development. The other aims of Buddhist Education are to make a free man, a wise, intelligent, moral, non-violent & secular man. Buddhist Education was wide open and available to the people of all walks of life. The system of Buddhist education aimed at regaining our intrinsic nature. It also teaches absolute equality which stemmed from Buddha‘s recognition that all sentient beings possess this innate wisdom and nature. Buddha‘s teaching helps us to realize that innate, perfect, ultimate wisdom .With wisdom, we can then solve all our problems and turn suffering into happiness. 23 In the Buddhist era, religion was given top priority and education was imparted through it. The chief aim of education was propagation of religion and inculcation of religious feelings and education served as a mean to achieve liberation or nirvana. Preparation for life, there was a provision for imparting wordily and practical knowledge along with religious education so that when the students entered normal life they may be able to earn their livelihood. In the early period Buddhist Education was limited within the monasteries and only for the members of the monastery. But later on it was open to all; even lay people got scope to have education in those institutions. In modern days Buddhist Education became wide open and embraced people of all walks of life. Buddhist Education made revolutionary change in the society. The Buddhists in the world first made Education open to all. The Core of Buddha’s teaching contains three major points, discipline, meditation and wisdom. Wisdom is the goal and deep meditation or concentration in the crucial process toward achieving wisdom. Discipline through observing the precepts, is the method that helps one to achieve deep meditation; wisdom will then be realized naturally. Buddha‘s entire teaching as conveyed in the sutras never really depart from these three points. Buddhist Education system developed on the basis of some basic principles. This education gave emphasis on the moral, mental and physical development and also to divert the students towards the Sangha rules and guide them to follow it. The main stress was given to have a clear idea of Tripitaka which consists of Sutta Pitaka, Vinaya Pitaka and Abhidhamma Pitaka. The entire Tripitaka consists of Buddhas teachings, message, philosophy and rules for the Bhikkhus and Bhikkhunies. The curriculum was chiefly spiritual in nature. It was because the chief aim of education was to attain liberation. So the 24 study of the religious books was most important. This type of curriculum was meant only for the monks. Besides these spinning, weaving, printing of the clothes, tailoring, sketching, accountancy, medicines, surgery and coinage were the other subjects of Buddhist education. At the initial stage medium of education was mother tongue, later it included Pali and Prakrit and in the following days Sanskrit also included as a medium of instruction. Especially the Mahayana Teachers achieved distinction in practicing Buddhism in Sanskrit. A special Sanskrit Buddhist literature developed. Mention may be made here that at the hands of Nāgārjuna, Asanga, Vasubandhu, Shāntideva, Aryādeva and Candrakīrti Buddhist philosophy and literature made tremendous progress through Sanskrit. In later period according to the demand of the society and professional education, art, sculpture, architecture, medicine also included in the syllabus. Buddhist Education came out from the religious arena and went out for the benefit of the mankind (Rahula, 2015). According to Nguyen (2014), the foundation of the Buddhism practice is Virtue, Mediation and Wisdom. Virtue is a system of moral principles advised by Buddha to help people by their self-awareness to restrain unruly actions, speech and thought and as a result, they have a focused mind, remain to be ready for the opening of wisdom. Wisdom is the purpose and Religious Meditation is the essential process to attain wisdom. To keep Virtue well-disciplined is method to help our mind calm and peaceful, creating favorable conditions for the process of meditation. When our mind is meditated, our intellect will be expressed naturally. According to Thich (2010), the purpose of education is to train ideal Buddhist Monks and Nuns to move towards the liberation and to execute the liberation. There are 25 people in each level of religion study can relieve their suffering and help others to relieve their suffering also. They were prepared by Virtue- Mediation- Wisdom who eliminate greed, perform selflessly, live harmoniously with others and nature. They are full of humanity, compassion and wisdom. The content of education is Virtue- MediationWisdom. These three learning concepts may be understood relatively but they have very specific meanings of moral, spiritual stability and clarity of knowledge and thought. In this modern time, these concepts include ethical practices done by themselves, society, and human populations; the meditation practices is to arouse a pure life, and a stable mind; attempting to study for a bright intellect, and for a very deep knowledge of worldviews and religion. Knowledge and skills require practices, usages, effectiveness in every area where Buddhism called the Five Intelligences (internal intelligence, human intelligence, explaining intelligence, technical intelligence, and medicine intelligence) (Thich, 2010). In summary, the purpose of Buddhist education is reaching the ultimate wisdom or true wisdom, to help people get rid of the pain and reach the ultimate purpose of life. For Buddhism, suffering is because of ignorance. Thus, people who would like to escape suffering must have wisdom or understanding. The suffering will be released down gradually with increasing the level of understanding. When “knowledge” reached to the highest level, the suffering will be fully terminated. “Knowledge” in Buddhism is knowledge of nature, of true meaning of life and universe. The core content of “knowledge” is to recognize the nature of impermanence and interdependence of all phenomena, and all human beings. “Knowledge” is end knowing something thoroughly, ultimately, entirely, and unbiased. It is a symmetry and harmony of the total three of wisdom, love and intention. 26 2.2.3 The Establishment of Higher Buddhist Education With a historical view, Higher Buddhist Education is linked closely with the Buddhist revival movement in Vietnam. With an effort to reform and strengthen Buddhism which had lost ground to the spread of Christianity under French rule, a Buddhist revival movement emerged in the 1920s. The objectives of this movement occurred in the North, The Central and the South of Vietnam were closed to three contents: religious organizations of Buddhism, training of monks and nuns, and promulgation of Buddha Dharma. In the Buddhist revival movement, the educational of Vietnamese Buddhism not only trained Buddhist monks and nuns in summer retreat (Vassa), but also established Buddhist Schools to teach according to a new system and method from primary to high Buddhist school, in which the Buddhist sutras were mainly taught. Sangha leaders were aware of the need to build a monastic organization that conformed to modern society. Clergymen and women need to be trained and educated to serve people in this new environment. In order to serve Buddhist revival as well as the long-term development of Buddhism, After 1975, Vietnamese Buddhist Council tried to revive the tertiary education system. High colleges of Buddhist studies inherited from Van Hanh University became the Vietnam Buddhist Universities of today. Currently, there are four Buddhist universities: in Hanoi, Hue, Ho Chi Minh City and the Theravada Buddhist University in Can Tho for Khmer monks. The Vietnam Buddhist Research Institute founded in 1984 is a separate unit from the university system and belongs to The Buddhist Sangha Council. The training level of Vietnam Buddhist Universities has been limited in Bachelor, Master and Specialized colleges. “The education programs have been mixed between canonical texts and the social 27 science subjects as well” (Mai, 2008). The purpose is to improve the secular knowledge for Sangha members, let them easily make a practical contribution to the country's socioeconomic development. 2.2.4 How Buddhism Is Taught In Education, the key points are the training method by lecturers and studying attitude from students both inside and outside the class. Currently in the world, three forms of modern Education are applied Lecturer-centered; Learner-centered and Interactive teaching method. Lecturer-centered method is the traditional form in which the lecturer keeps the central role. Learner-centered method is the method that shifts the role of the instructor from teacher to student. The Interactive teaching method encourages interest in the learning process; provides high motivation, strength, knowledge, team spirit and freedom of expression; and most importantly, contributes to the complex competences of future specialists (Thich, Nguyen-Dat, 2012). The lecturer would be considered as the information giver or the advisor and students need to process the given information by their own view. The main strategy of modern higher education focuses on the student's independent activity. Universities and colleges expect students to work on their own, outside of lecturers, tutorials, and seminars. Most independent study is spent to research the subject, reading and thinking critically about the material, making notes, preparing for seminars, planning, and writing assignments for assessment. By this view, learner-centered and the Interactive teaching method are more suitable than lecturer-centered one. Unfortunately, due to the impact of traditional methods for such a long time, most of the students in Vietnam still consider lecturer method as the best teaching method. “Reasons included; teacher provides all knowledge related to topic and it is time saving method” 28 (Shahida Sajjad). And by this method, students like to receive the benefit of the teacher knowledge rather than just go over the information in the textbook. Much emphasis by Buddhist Universities in Vietnam still placed on memorizing facts and oral culture. Emphasis is placed on what the instructor does but very little is placed on asking students what they actually learn. The traditional method has been widely used which places students in a passive rather than an active role, and will encourage oneway communication. As a result, the lecturers try an effort to be aware of student understanding without any feedback. The common explanation for the passiveness is the cultural features of the Confucian heritage culture which is claimed to shape students’ learning style in Vietnam. The investigation results in 2009 of Pedagogy University, HCMC showed that 75% of students after graduation still lack self-reliant skills to pursue a career” (Tran, 2013). Additionally, memorizing facts has been used in the Examination method by Buddhist Universities. This easily leads to negative actions from students during the exam process such as cheating or copying exam papers from each other. So, it would be better if the exams use more open questions which require the comprehensive understanding and synthetic skills by students rather than questions required a lot of memorizing. Education should never be limited to memorization. The Interactive Teaching Method should gradually take the place of Traditional method in Vietnam Buddhist Universities. 2.2.5 The Sources of Training The sources used by Buddhist Universities for training mainly are the translated Pāli canons, Chinese Mahāyāna scriptures and the textbooks prepared by the Professors of Universities and Buddhist scholars. Most of the Pāli canons and Chinese Mahāyāna 29 scriptures have been translated by the past most venerable Dr. Thich Minh-Chau, Most Venerable Thich Thien-Sieu, Dr. Le Manh-That, Tue Sy, Dr. Thich Nhat-Tu, Zen master Thich Nhat-Hanh and other Buddhist Monks and scholars in Vietnam. In the work “Studies in the Origins of Buddhism” by Govind Chandra Pande, a lot of controversial information relating to the Early Buddhism could be found. He mentioned that Mrs. Rhys David has raised the all-important question: what was the original message of Buddhism? After her work, the facts of interpolation, elaboration and expurgation in the suttas can hardly be ignored. It means there is a necessity of a re-study of the problems of Buddhist origins (Pande, 1974). Bikkhu Sujato & Bhahmali listed 33 odd points in Pāli canons (Bhikkhu Sujato, Bhahmali, 2014) Matthew Kosuta also found the contradiction in Theravada Buddhism with its pacifist ethic (Bikkhu Bodhi, 2012).Mentioning these points, it is not meant to say that Pāli canons less worthy for studying, but the idea is there may have some things in the canons that need to be reviewed again. The Buddha also declared this point in Kalama sutta “not to accept the words of any teacher including himself but to find things out for ourselves, relying on our own experience” (Bikkhu Bodhi, 2012). It also means that the study of Buddhist religious tradition has not been taken in any kind of critical spirit, but has been simply a matter of learning in order to benefit from it and pass it on to future generations. By this view, students of higher Buddhist studies should be encouraged to raise an independent opinion, to test the logic of arguments, to demand empirical evidence and to find whether the evidence is sufficient to support the given conclusions or not. Critical thinking skill needs to be applied widely in Higher Buddhist study. Students should be able to differentiate the right from wrong when they get the Buddha teachings. “Teaching has 30 been produced over two thousand five hundred years, mistakes and misprints are presumably understandable” (Thich Thanh-Tu, 2001). The research of Irvin J. Lehmann showed that there was a significant improvement in critical thinking ability from freshman to senior years in higher education (Lehmann, 1963). This factor needs to be exploited for the favor of students in higher level. Additionally, Buddhist universities do not have the unified curricula and textbooks for whole higher educational system. The biggest challenge to this issue is that curriculum authors always want students to follow the same path that they themselves have already experienced. Most curriculum authors have not been able to go beyond their perceptions (London, 2011). This issue needs to be improved by Vietnam Buddhist Sangha. 2.3 Quality Management in Higher Education Institutions 2.3.1 Assessment Students’ Outcomes Assessment allows both instructor and student to monitor progress towards achieving learning objectives, and can be approached in a variety of ways. Formative assessment refers to tools that identify misconceptions, struggles, and learning gaps along the way and assess how to close those gaps. It includes effective tools for helping to shape learning, and can even bolster students’ abilities to take ownership of their learning when they understand that the goal is to improve learning, not apply final marks (Trumbull and Lash, 2013). It can include students assessing themselves, peers, or even the instructor, through writing, quizzes, conversation, and more. In short, formative assessment occurs throughout a class or course, and seeks to improve student achievement of learning objectives through approaches that can support specific student needs (Theal and Franklin, 2010, p. 151). 31 Table 2-1 Examples of Formative and Summative Assessments Formative In-class discussions Clicker questions Low-stakes group work Weekly quizzes 1-minute reflection writing assignments Homework assignments Surveys Summative Instructor-created exams Standardized tests Final projects Final essays Final presentations Final reports Final Grades In contrast, summative assessments evaluate student learning, knowledge, proficiency, or success at the conclusion of an instructional period, like a unit, course, or program. Summative assessments are almost always formally graded and often heavily weighted (though they do not need to be). Summative assessment can be used to great effect in conjunction and alignment with formative assessment, and instructors can consider a variety of ways to combine these approaches. Both forms of assessment can vary across several dimensions (Trumbull and Lash, 2013): ✓ Informal / formal ✓ Immediate / delayed feedback ✓ Embedded in lesson plan / stand-alone ✓ Spontaneous / planned ✓ Individual / group ✓ Verbal / nonverbal ✓ Oral / written ✓ Graded / ungraded ✓ Open-ended response / closed/constrained response ✓ Teacher initiated/controlled / student initiated/controlled ✓ Teacher and student(s) / peers ✓ Process-oriented / product-oriented ✓ Brief / extended 32 ✓ Scaffolded (teacher supported) / independently performed Formative Assessment. Ideally, formative assessment strategies improve teaching and learning simultaneously. Instructors can help students grow as learners by actively encouraging them to self-assess their own skills and knowledge retention, and by giving clear instructions and feedback. Seven principles (adapted from Nicol and MacfarlaneDick, 2007) can guide instructor strategies: • Keep clear criteria for what defines good performance - Instructors can explain criteria for A-F graded papers, and encourage student discussion and reflection about these criteria (this can be accomplished though office hours, rubrics, post-grade peer review, or exam / assignment wrappers. Instructors may also hold class-wide conversations on performance criteria at strategic moments throughout a term. • Encourage students’ self-reflection - Instructors can ask students to utilize course criteria to evaluate their own or a peer’s work, and to share what kinds of feedback they find most valuable. In addition, instructors can ask students to describe the qualities of their best work, either through writing or group discussion. • Give students detailed, actionable feedback - Instructors can consistently provide specific feedback tied to predefined criteria, with opportunities to revise or apply feedback before final submission. Feedback may be corrective and forward-looking, rather than just evaluative. Examples include comments on multiple paper drafts, criterion discussions during 1-on-1 conferences, and regular online quizzes. • Encourage teacher and peer dialogue around learning - Instructors can invite students to discuss the formative learning process together. This practice primarily revolves around mid-semester feedback and small group feedback sessions, where students reflect on the course and instructors respond to student concerns. Students 33 can also identify examples of feedback comments they found useful and explain how they helped. A particularly useful strategy, instructors can invite students to discuss learning goals and assignment criteria, and weave student hopes into the syllabus. • Promote positive motivational beliefs and self-esteem - Students will be more motivated and engaged when they are assured that an instructor cares for their development. Instructors can allow for rewrites/resubmissions to signal that an assignment is designed to promote development of learning. These rewrites might utilize low-stakes assessments, or even automated online testing that is anonymous, and (if appropriate) allows for unlimited resubmissions. • Provide opportunities to close the gap between current and desired performance - Related to the above, instructors can improve student motivation and engagement by making visible any opportunities to close gaps between current and desired performance. Examples include opportunities for resubmission, specific action points for writing or task-based assignments, and sharing study or process strategies that an instructor would use in order to succeed. • Collect information which can be used to help shape teaching - Instructors can feel free to collect useful information from students in order to provide targeted feedback and instruction. Students can identify where they are having difficulties, either on an assignment or test, or in written submissions. This approach also promotes metacognition, as students are asked to think about their own learning. Poorvu Center staff can also perform a classroom observation or conduct a small group feedback session that can provide instructors with potential student struggles. 34 Summative Assessment. Because summative assessments are usually higherstakes than formative assessments, it is especially important to ensure that the assessment aligns with the goals and expected outcomes of the instruction. • Use a Rubric or Table of Specifications - Instructors can use a rubric to lay out expected performance criteria for a range of grades. Rubrics will describe what an ideal assignment looks like, and “summarize” expected performance at the beginning of term, providing students with a trajectory and sense of completion. • Design Clear, Effective Questions - If designing essay questions, instructors can ensure that questions meet criteria while allowing students freedom to express their knowledge creatively and in ways that honor how they digested, constructed, or mastered meaning. Instructors can read about ways to design effective multiple choice questions. • Assess Comprehensiveness - Effective summative assessments provide an opportunity for students to consider the totality of a course’s content, making broad connections, demonstrating synthesized skills, and exploring deeper concepts that drive or found a course’s ideas and content. • Make Parameters Clear - When approaching a final assessment, instructors can ensure that parameters are well defined (length of assessment, depth of response, time and date, grading standards); knowledge assessed relates clearly to content covered in course; and students with disabilities are provided required space and support. 35 Consider Blind Grading - Instructors may wish to know whose work they grade, in order to provide feedback that speaks to a student’s term-long trajectory. If instructors wish to provide truly unbiased summative assessment, they can also consider a variety of blind grading techniques. 2.3.2 The models of quality assurance Quality assurance: the inner values and the external effects. There are two opposite models of quality assurance in higher education in the Middle Ages: the French model “empowerment the control for external forces” (Cobban, 1988: 124), and the model that characterized by the British autonomous community of scientists (Van Vught, 1991). French model is considered as the prototype of quality control through self-responsible. In this model, the right to make solving problems related to teaching what, and who teaches, belongs to those who have power outside the organization. The faculty is responsible for the content of teaching. British model is like quality review of colleagues. Lecturers are entitled to make a decision related to the curriculum and other private matters of the colleges. Van Vught (1991) said that it needs to combine the two models because the focus is only on one of the two models will lead to overestimation and risky to some specific functionality and implementation of the university. According to him, higher education always needs the quality in both internal and external. Quality from the inside is to seek truth and pursue knowledge. Quality from the outside is intended to provide social services. Any system of quality assurance in the university would have to rely on this combination. However, as studies have shown, the external value now increasingly turn into a major driving force towards higher education from quality control model and toward the opposite 36 in sequence between the two extremes to control the quality and the autonomy of colleges in the Western societies. Unlike the study of quality impacts from within which there is a long history of development, the study of quality impacts from the outside only began in the 1960s (Weinberg, 1963, quoted in van Vught, 1991). However, it is becoming increasingly important as the world of higher education is changing its mission: the mission of research and teaching, the social missions such as encouraging economic development now, is becoming the focus of attention. According to Goddard Leaks (1992), the increasing concern of parents, teachers, and politicians about the quality of the education system in their country, and the priorities for the future development has led educators to focus on quality assurance. In a modern society, values and attitudes are transmitted to students from the adults those who are responsible for parenting and through education, through public broadcasting, and through the colleges. The future of a nation depends on improving the quality of each generation. The quality of education depends not only on the quality and motivation of the teaching force but also on the motivation of students. The values and attitudes of society have a direct impact to both engines. As stated above, in education, quality associated with many aspects such as input, process and output of the education system. The main quality assurance is the review of input, process and output (Barnett, 1987; Church, 1988). Lawrence and Dangerfield (2001) defined "academics have a long history of quality measurement based on inputs rather than outputs". According to Annesley, King, and Harte (1994), to ensure that the results of an education system can achieve the same quality as standard, a system of quality assurance 37 in the new century must be interested in the following process: design and content of the course, the transmission and evaluation, organizational assessment, monitoring and review, and management in general. What is needed for a framework to ensure the quality of the current education system is the government and officials of the university should establish a legal system to ensure the quality of the colleges. Key characteristic of this system is self-responsibility of the university to the community for its quality of education and training. The government is likely to support initiatives to strengthen the system of higher education by focusing on results. At the University of the West, particularly in Australia, the annual survey such as Course Experience Questionnaire (CEQ) (Ramsden, 1991; McInnis, Griffin, James, & Coates , 2001) aimed at obtaining the second part of the students on their level of satisfaction with the course, and Graduate Destination Survey (GDS) to monitor the results of the work graduates, are designed to ensure that students are satisfied with the quality of the course and that can compare with other universities openly when based on this measurement. Model BS 5750/ ISO 9000. The essence of the model BS 5750 / ISO 9000 is a set of written rules and standard procedures in detail, rigorous at each stage of the production process to ensure that all products or services must be consistent with designs, specifications and technical parameters previously defined with the goal of creating an output which fits for the purpose". BS 5750 / ISO 9000 give a strict discipline for those who use, and require the investment of human and financial resources and time. People have to understand the requirements and compliance processes seriously. The model BS5750 / ISO 9000 is stranger to higher education. Because the field is derived from the 38 production of goods so the language used in this standard is not appropriate for applying in education. In the 1980s and 1990s, along with neo-art management and marketing of movement, ISO began to be put into the field of business, and then introduced into the field of higher education (Russo, 1995). The leading thought of ISO seems very simple: say what you do, do what you say, write down what you did, check results and actions when there is a difference (Russo, 1995; Woodhouse, 1999). It can be seen that if the quality of a company is carried out smoothly, it will produce the qualified products. Unlike the quality control, ISO is not the features inspection system but it is required by the ISO certification. ISO is written for the manufacturing sector, and is made for the business organization of certain products. Therefore, the criteria must be precise and rigorous (Russo, 1995). In education, in order to get the appropriate criteria the organization needs to have the appropriate changes, so the questions can be posed is: What are the products of education? There are many arguments that the products of education are the graduates, they are not entirely in the production line, and the students are like empty vessels to be filled with the wisdom of the teaching and during the college sing – the process of getting education and skills training. Another idea is that graduates play three roles in the educational process: as customers, as the actors in the educational process which is taking place and as part of the product. The Malcolm Baldrige National Quality Award (MBNQA) is an example of a version of ISO in education (Russo, 1995). The MBNQA criteria are specified by the generic terms rather than in business. The Baldrige National Quality is essentially based on self-assessment and feedback from the participants, and rewards those who perform 39 outstandingly. However, The Education Pilot Criteria (EPC) is not the version of MBNQA, it is similar structure awards which has the same value as MBNQA criteria (Woodhouse, 1999). The educational criteria of the Malcolm Baldrige Education Criteria for Performance Excellence have four purposes: 1) Helps to improve job performance, practice and improve organizations ability; 2) Make it easier to communicate, share information and best experience among the education units as well as among other types of organization; 3) Encourage the development of partners’ relationship, including Universities, business companies, manpower agencies, and other organizations, to that the evaluation criteria are related; and 4) Serve as a working tool to help understand and improve the work of the agency, guidance as well as training. Total Quality Management (TQM). As the same as quality assurance system, TQM focuses on five areas: mission and customer focuses, systematic operation approach; the strong development of human resources; the long-term thinking; and outstanding serving (Lewis & Smith, 1994; Sherr& Lozier, 1991). According to Sherr and Lozier (1991), there are five key components affecting the quality improvement in high education: honesty, view sharing, patient, devoted to work, and TQM theory. Among five above key components, only the last one can be taught and learned. Theoretically, TQM requires the participation of all sections and all employees of an organization (Ellis, 1993; 1993a). However, whether TQM is considered as an effective system to ensure quality in the business sector, only a small number of universities announced that they think about the possibility of the application of TQM in his University (Aly &Akpovi, 2001). This shows that the majority of Universities seem to doubt the 40 effectiveness of TQM in the professional field. For Universities who have thought of the application TQM, then, they mostly apply in management area only because it looks like business management in industry (Aly &Akpovi, 2001). Total Quality Management - a model comes from commercial and industrial, but it proved more suitable for higher education. Characteristic of TQM model is that it does not impose a rigid system for any higher education organization, it creates a background of "quality culture" covers the entire training process. According to the philosophy of total quality management, people at any position, at any time shall be quality manager for their assigned work and shall complete the work in the best way with the supreme target is to satisfy the needs of customers. Continuous improvement. The most important philosophy of total quality management is constantly improving, and can be achieved by the masses and through the masses. The continuous improvement is reflected in the strategic plan of the university by the cycle of improving, enhancing gradually to the shellfish round from immediate to longterm benefit, from the starting level in a certain time and then continuously reaching to higher and higher levels. Total Quality Management is a process of self-management in order to reduce errors in each production cycle/ production phase. The inspectors are replaced by the workers and the workers themselves are personnel joining in the process of total quality management which can make their work better. Although the total quality management so far has been applied in industrial production process, but the same principle can also be applied in the service sectors such as education. However, to be able to apply this model in the service sector, Vietnam must have some adjustment in thinking. 41 But how can a graduate with qualified degree shall not make “mistake” be identified?. There is no set of standards that can help measure accurately the effectiveness of the "production" of a graduated student. Instead, universities often look at the skills that graduates have been trained rather than the issue of whether students have the capacity to use it or have the potential to succeed in the future or not. In other words, a "perfect" student must be considered from the perspective of the accomplishments they have achieved besides the basic capabilities they have been trained. For graduated students, the quality concept does not mean "non-defect product" but is the success level of students in work beside the basic qualifications. The status of "non-defect" could be called “ceiling standard". It can only be applied to those objects defined as "perfect" in terms of quantitative analysis, i.e. at the best condition in a given situation. However, education experience shows that teaching and learning issues cannot apply this method. The graduates with the highest qualityalways exceeded the ceiling standards that Vietnam can set up before and Vietnam are trying to train the best students. On the other hand, Vietnam also needs to ensure that all students after finish the course must have a minimum capacity and have spent the training program to perform certain tasks. Thus, Vietnam often uses a minimum set of capabilities, or the "floor standards" for ourselves, for recruitment agencies and society to feel secure with these students who after graduating, they have trained to be able to perform the tasks or have been trained for a certain number of capacities. For quality assurance in services such as education, Vietnam cannot identify a “non- defect product” without much reduced ability to achieve the perfect level. Therefore, the process of quality assurance is necessarily derived from a quality assurance system in 42 which the emphasis on the concept of continuous improvement of quality. The concept of non-defect graduated student is considered in a very limited way - that is, in terms of the minimum qualifications. Step by step improvement. Total Quality Management is accomplished by a series of small-scale projects with gradually increasing scales. Overall, total quality management has a broad scale, covering all activities of the university, but the implementation of tasks actually has a narrow scope, is feasible, practical with gradually increasing scale. The intervention is not the best policy to make a major change in the total quality management. The massive project is sometimes not the best way because of lack of funding, in case of failure; it will lead to apathy and resentment. It will be easier for small projects to be successful which create confidence and as a basis for the following bigger projects (Harvey& Green, 1993). Approach of quality improvement by increasing levels suggests that the improvement is not necessary to be an expensive process. The cost itself does not create quality, even if costs have clear objectives are feasible, they work great. The organizational system must be customer oriented. The key of the successful total quality management is to create an organic bond between supply and demand, between the parts together in University and society. In university’s management and organization system, the role managing staff is to support, to give favorable conditions for teachers, students, but not just to manage and check them. In total quality management, model of hierarchical organization system must be a reversed model (find illustration in next page). 43 The reverse in order of the university management and organization system as per the model of total quality management is not prejudice to the power structure of the university, and do also not diminish the leadership role of Management Managers of the University and Faculties. In fact, the leadership of the management staff keeps a crucial role to Total Quality Management. The order of reverse level is only to emphasize the hierarchical relationship in the training process: students’ orientation and students are main characters (Harvey& Green, 1993). Staff of University Staff of Faculty Teaching and serving staff Students Teaching and serving staff Staff of Faculty Staff of University Figure 2-1 Total Quality Management in higher education Organizational Elements Model. This model consists of five factors to evaluate as follows (SEAMEO, 1999): 1. Input: students, University’s staff, facilities, training programs, regulation, legal, finance. 44 2. The training process: method and training process, training management. 3. Results of training: the level of completion of the course, the capacity to achieve and adaptability of students. 4. Output: graduates, research results and other services to meet the needs of economy and society. 5. Effectiveness: results of higher education and its influence on society. Based on five factors of evaluation, scholars gave five concepts of higher education quality as follows: ✓ The quality of input: input level meets the criteria, objectives. ✓ The quality of the training process: the extent to meet the requirements of teaching and learning processes and other training. ✓ The quality of output: the achievement of outputs (graduates, the results of scientific research and other services) to compare with either set of criteria or the set target. ✓ Product quality: achievement level graduated student obtained for required work evaluated by themselves, parents, their working companies and society. ✓ Quality of value added: competence levels of graduates (knowledge, skills, and attitudes) contribute to society and the special higher education system. In the model of quality management of Higher Education (HE) above, if you see “the quality of higher education is coincident with the objectives” the use of TQM model shall be more appropriate. This model allows researchers set out the strategic goals of higher education in each period basing on the level of socio-economic development of the country and the policies of the Government for higher education. From the above, 45 depending on available resources, managers of higher education quality management can actively affect the stitching, the critical areas which have a direct impact on the quality and thereby gradually raising the quality of higher education as the proposed plan. “Quality is consistent with the goal” is a most appropriate definition for higher education in Vietnam in general and for each educational sector in particular. The aim of this definition is broadly defined and determined by each university. Quality assurance is a model of higher education quality management in accordance with the current conditions of Vietnam. Quality assurance is the views, guidelines, policies, objectives, actions, tools, processes and procedures, and by their presence and use can ensure that the objectives is being done, the appropriate academic standards are maintained and constantly improved in University and University training programs Although it is difficult to give a definition of quality in higher education that everyone recognizes, but the researchers try to find out the most common approaches. The basis of this approach considers the quality as a relative, dynamic, multi-dimensional concept, and with people in different positions may have different priorities when considering it. For example, for faculty lecturers and students, the priority of the concept of quality is the training process, the technical facilities to serve the teaching and learning process. For the employer, the priority for the quality is the output such as: the capacity and knowledge of students. Therefore, quality should be determined together with the objectives or the meaning of them. From this aspect, a university may be of high quality in this field but may be of low quality in other fields. This is necessary to build a system having clear, connected standards with quantifying indicators, having clear methods of quality assurance and quality control to be 46 used in higher education or in other sectors which must gradually approach to the standards of the region and the world so that Vietnam’s higher education can be integrated with higher education of the world. 2.3.3 The important elements in establishing a quality assurance system of higher education People can hypothesize that quality assurance and quality control depends on how the system is arranged, depends on the adequacy of human resources and finance, and depends on the assessment in and out of the organization. It also depends on the mission of a higher education system, the purpose and professional objectives (Freeman, 1994; Lim, 2001). Quality assurance shall review the input, process and output (Barnett, 1987; Church, 1988). According to Annesley, King, and Harte (1994), to ensure that the results of an education system will achieve the desired quality, a quality assurance system must pay attention to following teaching process: the design and content of the course; transferring and evaluation; assessment, monitoring and reviewing, and managing. According to Freeman, (1994), there are three basic steps in establishing a quality assurance system: setting the University's mission, designing methods, setting up standards. An important characteristic of quality assurance given by Frazer (1992): there are four main components of a quality assurance system. First, everyone in the system should be responsible for maintaining the quality of the products or services that the organization produces. Second, everyone should be responsible for strengthening the quality of the product or service. Third, everyone understands, uses, and feels he- himself is the owner of the system and the system is running in the right way in order to maintain and strengthen 47 the quality. Forth, the beneficiaries (Managers or Clients) must regularly check the system and are responsible for checking the quality of the product or service. Lim (2001) suggested that there should be more detailed steps in the approach of establishing a quality assurance system. The steps are: 1. To define the mission and goals of the university; 2. To define the functions of the university, and importance of the mission’s implementation; 3. To define the objectives of each function and to set up the index of qualitative and quantitative items; 4. To establish a quality assurance management system and the management process to ensure that these goals can be achieved as well as to set up a quality inspection system to evaluate the how universities perform their functions and to find out sectors needs the improvement also. The suggestions are related to: how to establish a quality assurance system generally focusing on getting the internal and external assessments. This shows the importance of internal and external evaluation of quality assurance. However, the studies (Freeman, 1994; Peters, 1977) suggest that the unique decisive factor of the quality in a university is from the inside of the university. It is determined by the quality of management, the ability of leaders and managers. It is also very important when responsible people, the decision makers of development purposes and objectives for the university find out and develop the common characteristics of quality control applied for all University’s activities. Once the regulations on quality control are applied in University, 48 colleagues and other people’s appraisal should be strengthened and help University to focus on developing the strengths and overcoming the weaknesses. 2.3.4 Obstacles to QM Implementation The major barriers or obstacles to the successful implementation of QM such as TQM are presented in the following table. Table 2-2 Obstacles to successful QM implementation 1 Obstacles to QM Lack of management commitment 2 Poor Vision and Plan Statement 3 The Government Influence 4 Lack of highly qualified professionals 5 Lack of knowledge about the self-assessment mechanisms 6 Resistance of institutional assessment/change 7 Poor coordination between employees and departments 8 Lack of interest in training 9 Expectation of immediate results 10 Instability of leaders and departments 11 Rigid organizational structures 12 Lack of clarity about role and responsibilities 13 Lack of employees’ commitment Source: Modified from Yarahmadi & Magd (2016) Buddhism emphasizes the importance of counseling to the people. It is the role of monks in the society as a spiritual instructor. ‘Counseling psychology’ integrated with Buddhist counseling would enhance the power of counseling and can be of another way to fulfill the social needs. 49 “It’s also a mistake to think that psychotherapy is only used to solve problems or end a crisis. Even a person is doing already well, therapy can be a way to promote personal growth” (Bloch, 2006). Therefore, counseling is not only for people who have problems in life but it can be also applied to common people in order to improve their life with well-informed choices and problem-solving. There are many definitions of the term ‘counseling’ by different experts of the field including offering advice and encouragement, sharing wisdom and skills, setting goals and resolving conflict, etc. Colin Feltham (1995) describes, “It may be considered quite obvious that counseling is a form of help for people who need it; that counseling usually involves two people discussing the problems or concerns that one of them has and the other is willing to listen” (Feltham, 1995). Another definition of the term: Counseling denotes a professional relationship between a trained counselor and a client. This relationship is usually person-to-person, although it may sometimes involve more two people. It is designed to help clients to understand and clarify their views of their life space, and to learn to reach their selfdetermined goals through meaningful, well-informed choices and through the resolution of problems of an emotional or interpersonal nature (Burks & Stefflre, 1979). Counseling is a process between a counselor and a client that focuses on enhancing the psychological well-being of a client. It takes place when the counselee seeks for counseling and the counselor, after a careful analysis, applies proper techniques in counseling process. 50 Consequently, some positive outcomes can be achieved by any counselor though not all as Colin Feltham gives a list of fifteen benefits that a counselor can offer to (McLeod, 2009). The technique of mindfulness meditation would be the most effective though there might be other techniques. It is because mindfulness meditation or mental culture purely deals with the mind. And it is the mind which is the root of all the mental illnesses though causes can be influence by outside factors. So mental illness should be treated with mental treatment rather than psycho-surgery, chemotherapy, or electroconvulsive therapy. More importantly, counseling through mindfulness emphasizes on the self-healing by the individual counselee himself/herself. It is true according to the words of Jung who said that it is individual numinous that cure the patient. Ultimately, it is individual’s effort and spirit who cures himself/herself through a kind of self-healing. The ancient practice of mindfulness is coping with the modern world and importantly its blend to modern sciences. The expansion of mindfulness meditation to other field of sciences would enrich the studies and experiments of those sciences and also study of mindfulness meditation. Scientists and researchers should be encouraged to continue their experimentations with the mindfulness meditation so that it can be applied as a useful tool in human society. When talking about the techniques of Buddhist psychotherapy or counseling, people usually think of mindfulness techniques only (Carlson & Speca, 2010). There are other techniques of counseling found in Buddhism like counseling through instruction which can be brought into play to modern psychotherapy and counseling like mindfulness meditation is being blended. The methods of counseling through instruction are instructions; guidelines, advice, suggestions, etc. that are counseled to the clients (Burks & Stefflre, 1979). 51 2.4 Factors affecting education quality The elements constituting the quality of training is a system of criteria to quantify the degree of fulfillment of the training objectives of human resources determined by the state, social community, locality and each training institution itself in each period (Doan Van Dung, 2015). The development of a system of criteria for assessing the quality of student outcomes after graduation, will be the basis for universities/schools to most accurately assess the training quality of each school, on the basis of that will help higher education institutions make timely adjustment policies, contributing to improving the quality of higher education at each institution to meet the practical needs of society. 2.4.1 Learning Resources Learning resources are the texts and other materials learners and teachers use in class. Mugambi (2006) in enumerating the factors that could be responsible for varying intra-and inter-school/academic achievement, listed the acute scarcity of instructional resources which he said constrained educational systems from responding more fully to new demands. He claimed that, in order to do their part in meeting the crisis in education, educational systems will need real resources that money can buy, they will need a fuller share of the nations’ manpower, not merely to carry on the present work of education, but to raise its quality, efficiency and productivity. They will need buildings, equipment and more learning materials. Hanushek, Kain and Rivkin (2008) carried out a study on the roles of school, teachers and academic performance. In this study, the effect of teaching and learning materials was tested with the quantity and quality of these materials on learners. The study concluded that the quality of teaching and learning materials affected the academic 52 performance of learners. Schools that had more teaching and learning materials per learner posted better results compared to schools that had fewer materials per learner. Guloba, Wokadala and Bategeka (2010) carried out a study in Uganda. Among the major findings of this study was that supply of teaching resources is found to have adverse effects on education quality and the government should prioritize effective teaching rather than supply more teaching resources. Omaiyo (2013) carried out a study in Migori Kenya on the effects of instructional resources on children’s performance, a study that used a descriptive survey design. A total number of 225 children were selected from a possible population of 750. Using the questionnaire and observation schedule, the study established that there was minimal use of teaching and learning resources in these schools. The study noted that use of teaching and learning resources affected the academic performance of the pre-schoolers and as such recommended that more teaching and learning resources should be applied in order to uplift the academic performance of learners in these schools. However, the area under study, in this case, was a more semi-rural area considering the current study is in a more peri-urban and highly sophisticated region with advanced infrastructure. The current study sought to determine if the teaching and learning resources in the newly established schools influenced academic performance in secondary schools. A study carried out by Rotich (2004) showed that lack of physical facilities, materials, equipment and tools were among the major problems that primary school head teachers were faced with in Kenya. The study found out that in most schools classes had over 50 pupils. This study showed that free education at the primary level brought about problems related to over- enrolment, lack of physical facilities and inadequate teachers. This study evaluated the physical facilities in primary schools whereas this current study 53 concentrated on the newly established secondary schools. This study will be influenced by the Rotich (2004) in that it will seek to establish the status of the physical infrastructure in the newly established secondary schools. Waita (2012) carried out a longitudinal study on pupil-teacher ratio in Kenyan secondary schools. In this study, the researcher used a sample size of 24 secondary schools in the peri-urban setting of Machakos. Majority of the secondary school relied on untrained teachers formed the bulky of the teaching force. The study noted that the student-teacher ratio in the majority of secondary school was low high and called for the Teachers Service Commission to employ more teachers. 2.4.2 Teacher Competency Teachers are very important human resources required to achieve the objectives of a school system. Teachers are usually responsible for teaching and learning process in the schools. Orina (2005) posited that teachers are important inputs in the educational system and incorporate highly-skilled labour resources that undergo specific training aimed at achieving maximum results out of the classroom and out of classroom interaction with learners. According to UNESCO (2004), the role of the teacher, especially in the classroom, and the impact of the teacher and teaching, have been identified in numerous studies as a crucial variable for improving learning outcomes. The way teachers teach is of critical concern in any reform designed to improve quality of education in general and in particular teaching and learning. UNESCO emphasizes that teachers have the strongest influence on learning and on a wide variety of other quality factors within schools. Leu and Price-Rom (2005) contend that, teacher quality, teacher learning, and teacher improvement, are 54 becoming the foci of researchers, policy makers, program designers, implementers and evaluators. UNESCO (2004) adds that since quality education is attributed to teachers, there are five crucial areas of interventions to teacher quality, concerning their role as contributors to quality education. These interventions are (i) finding the right recruits; (ii) initial teacher education; (iii) ongoing professional support; (iv) teacher earnings; and (v) teacher deployment and conditions of service. The quality of the teaching staff plays an important role in determining the quality of student output, because this is the team that directly provides intellectual services (Doan Thi Mai Huong, 2017; Nguyen Khac Binh, 2012). The quality of faculty is reflected in their subject matter knowledge, ability to communicate, support students in the learning process, and effective assessment methods. Alos et al (2015) pointed out the importance of having qualified faculty in the teaching field, and stated that the success of any program is down to the ability of the instructor. In order to ensure a good quality of student output, it is necessary to ensure a sufficient number of highly qualified and dedicated faculty members. According to Nguyen Khac Binh (2012), the quality of student output depends on many factors such as: training programs and processes, educational management, qualification structure and network system, etc. Therefore, the factor of lecturers in universities plays an important role in improving the quality of training in higher education institutions, as well as improving the quality of student output. Competency of lecturers is not merely professional competence and teaching capacity, but the capacity of the teaching staff also includes: communication capacity, test and evaluation capacity, implementation capacity, organizational capacity and educational 55 capacity. With the teaching function, the teaching staff is responsible for equipping students with scientific research methods, self-study methods and methodologies; intellectual development, creative thinking and intellectual capacity; equipped with skills and techniques on a certain scientific field and modern scientific knowledge; absorb new things, social norms and professional ethical qualities. In addition, the teaching staff need to have good character, good qualities, healthy and pure lifestyle ethics, the capacity of a teacher, respect the personality of students, love students, students. member and love the profession. Thus, the quality of lecturers is one of the factors that determine the training results of universities (Church, 1998; Pham Thuy Huong Trieu, 2010). In order to ensure a good quality of student output, it is necessary to ensure a sufficient number of highly qualified and dedicated faculty members. Therefore, the school should have policies to encourage lecturers in improving their teaching/pedagogical skills, research ability and fostering professional capacity to ensure and improve the output quality (Nguyen Thu Huong, 2014; Doan Van Dung, 2015; Nguyen Minh Tuan, 2015). Wenglinsky (1997) showed that the teacher-student ratio affects student achievement. According to Hauptman (2006), the quality of student output is influenced by the level of expenditure on teaching staff and teaching facilities and equipment. Doan Thi Mai Huong (2017) also emphasized that the important factor determining university quality at higher education institutions is the capacity of the teaching staff. According to the author, the capacity of the teaching staff is mainly expressed through the capacity of teaching and scientific research. In particular, scientific research capacity plays a very important role for the teaching staff. The author also points out the limitations of the teaching staff in recent years in scientific research 56 activities, the limitations in the quantity and quality of the scientific research works of the lecturers in the universities. current educational institutions. Dinh Thi Minh Tuyet (2010) pointed out that: The factor "Innovation in teaching methods" is an important factor that contributes positively to improving the quality of higher education in general and the quality of student output in particular. . Teaching method is a combination of methods and jobs of teachers and learners in order to perform well the teaching tasks, contributing to improving the quality of student output, in order to create classes of skilled workers. Modern knowledge, creative work ability, solid professional practice skills, high adaptability to labor market fluctuations, as well as independent, critical and creative thinking. problem-solving power in response to the increasing demands of employers. To achieve these achievements, schools need to innovate teaching methods. Therefore, innovating teaching methods has an important role in contributing to improving the quality of education and training, as well as the quality of student output; The factor "Create opportunities for students to brainstorm", according to Pham Tran Le (2010) is also one of the factors of training quality that graduates have not met the requirements of employers. This is because the current way of higher education in our country does not force learners to brainstorm, but students go to class mainly to listen to teachers' lectures passively without having to brainstorm. Therefore, schools need to organize many discussions between teachers and students or between learners. As well as organizing presentations for learners to demonstrate their ability to synthesize and refine knowledge content. That way, new learners have to brainstorm more, be more active in learning, as well as be better prepared after graduation. This will contribute to improving the quality of student outputs of universities. 57 2.4.3 Curriculum, Learning Program Emphasizing on curriculum design, Iwasiw, Goldenberg and Andrusyszyn (2005), claim that; physical facilities such as materials, space for classroom, office and laboratories should match curriculum design and students learning needs. Therefore lack of these can affect quality education provided to the students, teachers‟ experiences, and teaching and learning process. In educational institutions the curriculum has considered as academic program given to students. Also, the curriculum dimension in various articles is known as subject content, program issues, academic concerns and course content. Based on the findings of LeBlanc and Nguyen (1997), the appropriateness of course content and educational programs, the number of courses offered as well as the range to which the purposes of the educational programs are described to the students have related to curriculum. The curriculum also has been stated as one of the factors of perceived service quality by students. In addition several articles have shown that there is an optimistic association among overall student perceived quality and curriculum (Athiyaman 1997, Russell 2005, Ling, Chai et al. 2010). In universities, courses are usually grouped under diverse classifications such as college primary courses, university-wide prescriptions, essential courses and electives in major. So, when universities provide numerous course offerings for their students and provide more options and choices for them it can make students more satisfied with curriculum (Tessema and Ready 2012). Also, Browne et al. (1998) declare that course quality and other curriculum-related issues connected with a university can effect on overall student satisfaction. 58 The training program consists of main parts such as objectives and output standards; training content, methods and activities; organizational structure, functions and tasks; and academic activities. The training program is one of the important factors affecting the quality of student outcomes (Harvery and Green, 1993; Church, 1998; Doan Van Dung, 2015; Pham Thuy Huong Trieu, 2010). Nguyen Thu Huong (2014) pointed out the factors affecting the output quality of high-quality classes including: objectives of training programs, development orientation of training programs, management mechanism. finance and higher education development trends. The training program will systematically define the knowledge, skills, competencies and personality that need to be equipped for students upon graduation. The appropriateness or inappropriateness, the modernity, updating or obsolescence of the training program will affect the student outcomes. A good training program will add value to the efforts of lecturers and students, create more motivation for teachers and learners, and create a basis for a suitable training program quality. The training program is outdated, not suitable to reality, graduates will not have the capacity to adapt to reality, university training results will not be able to meet the requirements of the labor market, local and national socio-economic development requirements and the global labor market in the context of globalization. A training program that is in line with the expectations and expectations of the learners will be an important condition for the training outputs of the students to be guaranteed. From the above research results, the factor of Curriculum/training program (abbreviated CTP) has six observed variables including: CTP1: The objectives of the training program are specific and clear 59 CTP2: Flexibility, meeting the learners' diverse learning needs of the training program CTP3:The program content ensures the necessary competencies (knowledge, skills) and qualities of monks and nuns CTP4: Teaching, learning, and extra-curricular activities of the program help learners practice essential skills for the work CTP5:Teaching and learning activities promote the enhancement of learners' life CTP6:The forms of examination and assessment in the program accurately, objectively, and fairly reflect the learning results of learners. 2.4.4 Teaching Quality Louden (2000) reports that if instructors know about aspects, and criteria, and are enthusiastic about teaching activities that are directly connected to the professional development of a lecturer, it can increase the teaching quality of lecturers. In universities considering the quality of teaching staff is more important for the reason that, one of the main factors which have the main role in the largest positive effect on student satisfaction is teaching staff in universities. Consequently professor by knowing more about student experiences can assist them to adapt their manners and approaches toward the needs of students. So, it can affect students’ perceived service quality and their satisfaction levels (Pozo-Munoz, Rebolloso-Pacheco et al. 2000, Voss, Gruber et al. 2010). In a study which has been conducted by Devinder and Datta (2003) among 168 students shows that the most important issue based on the perceived service quality for students is the outcome of the lecture in class such as information and abilities gained, accessibility of class notes and reading material, attention and effectiveness of the lecture and tutor‟s feedback on 60 evaluated work. Also Hill et al. (2003) find that the important factors for students related to teaching quality is the quality of the instructor such as lecture delivery, comment to students during the meeting and on projects, the time the lecturer spends to advise the learners is enough and convenient, and the connection with students in the classroom. From the above research results, the factor of quality of teaching staff (abbreviated QTS) has eight observed variables including: QTS1:Knowledgeable instructors to answer learners' questions QTS2:Teachers are always enthusiastic in teaching activities. QTS3:Instructors are ready to assist learners when needed QTS4:Teachers are enthusiastic about solving students' problems QTS5:Teachers have a positive attitude towards students QTS6:The time the lecturer spends to advise the learners is enough and convenient QTS7:Instructors have good communication skills QTS8: Teachers with solid professional knowledge 2.4.5 Facilities for teaching and learning Facilities are an indispensable component of any university, this is a factor that has a direct impact on the quality of university education as well as the quality of student output. improving the quality of higher education nationally and internationally (Kwan and Ng, 1999; Hauptman, 2006; Chen et al., 2007; Gamage et al., 2008; Nguyen Van Tuan, 2008). School facilities, including the size and quality of the number of classrooms, laboratories/practices, lecture halls, dormitory rooms and teaching equipment for the living and learning process. of students. The facilities for university training are diverse and each school, each training discipline has its own requirements. Facility factors are very diverse, 61 so schools need to pay attention to factors such as the school's premises and area per student, the system of laboratories, libraries, and classrooms, to ensure the right things. necessary conditions for the teaching of teachers and the learning of students to achieve the most effective. The infrastructure factor also plays a very important role in the scientific research of lecturers and students. Hauptman (2006) also emphasizes that: the quality of student output is not only influenced by the level of expenditure on teaching staff, but also by the level of expenditure on investment in teaching facilities and equipment. study during the training period at the university. Heynerman (2001) pointed out that in order to enhance the competitive advantage of universities, universities need to increase investment in new teaching technology and new sources of electronic information. In addition, according to Mohamed et al (2018), in addition to facilities, which have an important and positive influence on students' learning and learning outcomes, other factors such as learning techniques, aspects related to family, study habits have a positive relationship with student performance and academic performance. In addition, the adequacy and quality of learning materials for teaching and learning also affects the quality of student outcomes in universities (Harvery and Green, 1993; Church, 1998; Pham Thuy Huong Trieu, 2010). . This material includes textbooks, outlines, lectures, electronic lectures and other learning materials, materials, tools, and reference materials for learning and research such as: theses, books, scientific journals, proceedings of scientific conferences, etc. Study materials provided from centers-libraries at universities will help teachers and learners to have a rich source of learning materials for teaching, learning and scientific research of lecturers and students. Therefore, libraryinformation centers have a very important role to play in meeting the unique information 62 and document needs of teachers and learners in the face of the current situation of requesting innovation in training methods of institutions. Department of Higher Education (Nguyen Huy Chuong, 2008). In addition to traditional learning materials such as books, textbooks and documents in libraries, some schools also apply electronic learning materials in teaching of teachers as well as students' learning. Electronic learning materials include: e-books, teaching software, databases. This makes it easier for students to find materials for their study and scientific research in large quantities (Tran Duong Quoc Hoa, 2016). From the above research results, the factor of Facilities (abbreviated FA) has nine observed variables including: FA1:The system of classrooms and necessary equipment for teaching and learning FA2:Classrooms ensure space, light, and sound requirements for learning FA3:The campus and natural environment are properly planned, green - clean – beautiful FA4: The rooms for practice, experiment action, and forging with modern equipment FA5:Self-study area with all necessary and convenient conditions FA6: Dormitory with full equipment, convenient FA7:The library has a rich and diverse source of materials. FA8: Information technology infrastructure (computer, internet, wifi, etc.) FA9:The system of facilities and equipment that serve the needs of sports, culture, and other extracurricular activities 63 2.4.6 Support staff Support staff are administrative staff who play an important role in determining the quality of administrative services provided in universities/schools, it affects the quality of student output. Administrative services include those provided by libraries, faculty offices, dormitories, sports and wellness centres, etc. Malik et al. (2010) determined that cooperation , the kindness and responsiveness of the support team play an important role in determining the quality and satisfaction of students in higher education. Nadiri et al. (2009) have shown that the quality of services provided by administrative units has a positive impact on the quality and satisfaction of students. These services include those provided by providers, libraries, faculty offices, residence halls, sports and student service centres. Furthermore, Elliott and Shin (2002) determined that the overall level of student satisfaction is significantly influenced by excellence in teaching methods, teaching quality, transparent and impartial treatment of faculty members. non-academic staff. Meanwhile, no association was found between the quality of university support staff and student satisfaction in the study of Weerasinghe and Fernando (2018). The findings of Pathmini et al. (2014) also found that Sri Lankan students at newly established universities were not very satisfied with the degree of empathy shown and the reliability of an employee on the support team. In the university system, students rarely connect with administrators, and they perceive administrators as part of a negative, unhelpful bureaucracy (Aigbavboa and Thwala, 2013). From the above research results, the factor of Support staff (abbreviated SLS) has 11 observed variables including: 64 SLS1: Understands the needs and cares about solving the problems of learners SLS2: Solve learners' problems and difficulties SLS3: Staff are always available to receive support requests from students SLS4: Learners contact the units/departments in the school SLS5: Staff commitments in dealing with students SLS6: Arrange convenient working times for learners SLS7: Staff's attitude towards learners SLS8: Staff have expertise in their field to support learners SLS9: Staff communicate with learners SLS10: Learners' peace of mind when interacting with the school SLS11: Provide support activities to learners on time 2.5 Conceptual Framework and Hypotheses 2.5.1 Some related research models 2.5.1.1 Abdullah's model for measuring service quality in higher education Abdullah (2006b) developed the HEdPERF scale to measure the quality of higher education services from the perspective of learners. Service quality has attracted quite a bit of attention in the field of higher education, however, very few studies have focused on identifying the determinants of service quality from the point of view of students as customers. row. Therefore, a new scale that not only incorporates academic factors, but also factors related to the overall service from the perspective of learners is developed. Likewise, there is much controversy surrounding service quality measurement tools, and recent studies have questioned the principles of the existing scales. Although these scales 65 have been tested and have had certain successes in the service sector, they have not been replicated in the higher education sector. This article describes the method of developing the HEdPERF scale (for higher education), a new measurement tool for service quality that includes the determinants of service quality in the education sector. university education. The scale with 41 variables has been verified for heterogeneity, reliability and validity through testing and confirming the results of exploratory factor analysis (CFA). This valid and reliable scale will be a tool that universities can use to improve service performance in the context of increased competition as the global education market evolves. The results of this study are important because previous studies have developed scales suitable for determining service quality, but may not be completely suitable for assessing quality in higher education. Furthermore, previous studies have mainly focused on academic factors with little attention paid to nonacademic factors. Studies have identified six factors as non-academic, academic, reputation, access, program, and insight. Therefore, it can be assumed that students' perception of service quality can be considered as a six-factor construct. Therefore, universities need to evaluate all six of these factors to determine the level of service provided to students and to determine which factors need to be improved. Evaluating service quality levels and understanding how factors affect overall service quality will help schools design effective service delivery processes. In addition, identifying the strengths and weaknesses of these factors and their relationships can help schools better allocate resources and provide better services to students. 66 Although service quality attributes affect students' perceptions to a certain extent, studies have also shown that access rights, related to aspects such as accessibility, ease of contact, availability, and consensus affect overall service quality. In other words, students perceive access to be more important than other factors in determining the quality of service they receive. Higher education educators are being asked to explain the quality of the education they provide. While greater accountability is being demanded of higher education, the mechanisms for its achievement are hotly debated. Hattie (1990) and Soutar and McNeil (1996) oppose the current system of centralized control, where the government establishes performance indicators related to funding decisions. There are some problems in developing performance indicators in higher education. For example, performance indicators tend to be a measure of performance rather than a true measure of the quality of services provided to students (Soutar and McNeil, 1996). These performance indicators certainly do not measure the quality of education as a whole. Academic Non-academic Reputation Quality of higher education services Access Curriculum Understanding Figure 2-2 Abdullah's model for measuring service quality in higher education (2006) 67 Likewise, studies show that there is much controversy about how service quality is measured. Recent studies have questioned the principles that establish existing scales. While these scales have been tested with some success in some service industries, this may not be the case for others, especially higher education. Therefore, continuing to pursue the development of a standard scale applicable to many types of services will not be fruitful. Instead, a scale tailored to a specific industry is a more viable research strategy. HEdPERF, the new quality of service scale, is empirically developed and tested. The scale includes six groups of factors with 41 observed variables. These groups of factors include: (1) academic; (2) non-academic; (3) reputation; (4) access; (5) curriculum: (6) understanding. 2.5.1.2 SEAMEO's five-factor model From the perspective of evaluating training quality, SEAMEO (1999) has proposed a model of organizational factors, the quality of higher education based on five factors to evaluate, including: (1) Input: students, staff in the school, facilities, training programs, regulations; (2) Training process: training methods and procedures; (3) Training results: the degree of completion of the course, the ability to achieve and the adaptability of the students; (4) Output: graduate students, research results and other services that meet economic and social needs; (5) Efficiency: the outcome of higher education and its effect on society. From the perspective of the process approach, the quality of higher education is seen as a result of the inputs, the training process and the outputs (Figure 2-3). 68 - Input: Student Officers in the school Infrastructure Education program Regulation - - Training process: Method Training process Output: Graduted student Research results Other services - - - Training results: Completion level Student capacity Adaptability Effective: Result of Higher Education The influence of higher education on the socioeconomic Figure 2-3 SEAMEO's five-factor model (1999) 2.5.1.3 Research model of Le Ngoc Thang Le Ngoc Thang (2017) tested Abullah's HEdPERF scale (2006b) in the context of Vietnamese higher education services. On the basis of inheriting the scale of Abullah (2006), the author proposed an adjusted HEdPERF scale consisting of five components: quality of training programs, quality of teaching activities, quality of facilities, quality service quality for administrative and academic transactions, and added utility quality (Figure 2-4). 69 Curriculum Quality Quality of teaching activities Quality of facilities Quality of higher education services Quality service for administrative and academic transactions Quality of utility Figure 2-4 Model of factors affecting the quality of higher education (Le N. T., 2017) 2.5.1.4 Research model of Vrana et al. Varana et al. (2015) built a model to study students' opinions on the quality of educational services at universities in Greece. The study applied and proposed an adjusted HEdPERF model consisting of five groups of factors: (1) academic aspects; (2) facilities; (3) Training program; (4) Staff: (5) Support services (Figure 2-5). Academic Facilities Training program Quality of higher education services Staff Support services Figure 2-5 Model of factors affecting student outcomes (Vrana et Al., 2015) 70 2.5.1.5 Research model of Nguyen Minh Nha and Nguyen Thi Thanh Thuy Nguyen Minh Nha and Nguyen Thi Thanh Thuy (2018) developed and tested the influence of a number of factors on the quality of accounting training services at Tien Giang University. These factors include training programs, qualifications of faculty, facilities, students, support staff, output quality, and social environment (Figure 2-6). Specifically, the elements of the training program include: content, updating, structure, objectives of the training program and extra-curricular activities; factors of lecturer qualifications, including: assessment methods, professional qualifications, teaching methods, supplementary skills, dedication of lecturers; Physical factors include: online utilities, campus, library, textbooks, classrooms, convenient location; group of student factors include: learning consciousness, interaction with classmates, coursemates, learning motivation; the group of supporting staff includes: service capacity, enthusiasm of staff and lecturers; group of output quality factors including: output standards, employment rate, satisfaction of recruitment units, ability to improve qualifications; The group of socioenvironmental factors includes factors related to economic and social characteristics. 71 Curriculum/training programs Qualifications of faculty Facilities Support staff Quality of higher education services Students Output quality Social environment Figure 2-6 Model of factors affecting the quality of higher education services (Nguyen & Nguyen, 2018) 2.5.2 Conceptual framework Through an overview of related models and studies, the author has proposed a model of factors affecting the quality of student outcomes of Vietnamese pedagogical universities (as shown in Figure 2-7). The research model is the successor and extension of the scales in the HEdPERF scale model proposed by Abdullah (2005) and the models that extend the HEdPERF scale model of Varana et al (2015), Le Ngoc Thang (2017) and Nguyen Minh Nha and Nguyen Thi Thanh Thuy (2018). The groups of factors that are likely to affect the outcomes of students in universities of education include: (1) Curriculum/Training program; (2) Quality of Teaching Staff; (3) Facilities; and (4) Support learners services. 72 Curriculum/Training program Quality of Teaching Staff Perceived Education Quality of Buddhist Schools Facilities Support learners services Demographics Figure 2-7 The Conceptual Framework 2.5.3 Hypotheses The hypothesis for this study is developed based on the research objectives, research questions, and conceptual framework. This research tests the following hypothesis: H1. Curriculum/Training program has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H2. Quality of Teaching Staff has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H3. Facilities has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H4. Support learners services has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. 2.6 Summary Chapter 2 has systematized the basic issues of higher education, Buddhist ecucation, and the quality of education, as well as clarified the influencing factors and 73 criteria for assessing the quality of student outcomes. On the basis of systematizing some research models of Le Ngoc Thang (2017), Vrana et al. (2015), Nguyen Minh Nha and Nguyen Thi Thanh Thuy (2018), and at the same time with the characteristics of pedagogical universities In Vietnam, the thesis has built a proposed model of the factors affecting the Perceived Education Quality of Buddhist schools in southern of Vietnam, including 04 groups of factors: (1) Training program; (2) Faculty & Methods of Instruction; (3) Facilities; and (4) Support learners services. In addition, on the basis of an overview of studies and proposed models, the thesis has proposed four research hypotheses about the factors affecting the perceive quality of education of Buddist schools in southern of Vietnam. 74 Chapter 3. Research Method Chapter 3 includes a description of the research design and details about the population and the sample population, including discussion of data collection, data analysis, and appropriateness of the data to the research design. The logic surrounding the survey selection and the specific survey instruments are covered. 3.1 Research Methods and Design According to Saunders et al. (2009), there are two major research methods, including qualitative and quantitative. The difference between these methods refer to the fact that quantitative research method relies on the numeric data collection and the application of logical calculation to get the target results, while qualitative research method takes into consideration of the uses of non-numeric data or on the other hand, it focuses on the collection of opinions and thinking of target respondents toward social phenomenon (Bryman and Bell, 2007; Canurran and Blackburn, 2001). The purpose of this quantitative correlation study is to examine the factors affecting Quality of Education in Buddhist schools in Southern Vietnam in the Contemporary Age. This study used a correlational design and a survey research methodology to collect data for the investigation of education quality in Phat Quang social charity center. The design, method, and methodology used for this study is supported by a positivist philosophical paradigm. Quantitative surveys are designed to fit a questionnaire schedule. This is the most commonly used technique in research (Veal, 2006). Statistical surveys are used to collect quantitative information about items in a population. Descriptive research describes 75 data and characteristics about the population being studied and is often collected using statistical surveys. The research method fits the purpose of the investigation and was well suited for answering the research questions of the study. Shaughnessy, Zechmeiser, and Zechmeiser (2005, 2011) asserted that correlational research represents a general approach to research that focuses on assessing the covariation among naturally occurring variables with a goal of identifying possible predictive relationships. They argued that results from correlation have implications for decision-making. The study is conducted utilizing a quantitative correlation method. Explaining and describing data using predefined validated instruments in the natural environment of the organization, without any manipulation by the researcher are characteristics of quantitative research (Leedy & Ormrod, 2010). An experimental study is a good follow-up to correlation research. Descriptive quantitative research is more formulaic and refers to hypotheses and variables thus reducing the possibility of researcher bias, as compared to qualitative research (Leedy & Ormrod, 2010). Quantitative research is a popular research method in the social sciences and involves testing one or more hypotheses. Some researchers consider this type of research as the only real research (Willis, 2007). Quantitative research is appropriate because it follows a non-linear path in a natural setting (Neuman, 2011). Data presented in the form of numbers allow for precise measurement. Quantitative research is traditionally based on a prespecified method whereas qualitative research is recursive, and results can be unclear (Willis, 2007). The quantitative correlation research method, which is used in this study, includes the following steps: 76 - Collecting the preliminary and secondary data, setting up the preliminary scales. - Expert’s survey, adjusting the scales, collecting the primary information. - Processing the data, testing the reliability, testing the hypotheses. - Evaluating the research model and setting up the solutions. The experts’ survey is to explore the proposed factors relating to the education quality of Buddhist schools in Southern Vietnam. After collecting the experts' opinions, the author of the study will adjust the scales, and then launch a preliminary survey to assess the appropriateness of such scales. The author of this study cannot fully understand the expert’s opinions, so it should have the preliminary survey to assess whether respondents have correctly answered the defined scales or not. After preliminary investigations are completed, the author of the study will launch the official survey. After the official survey is completed, the author of the study conduct data entry, data cleaning, and data processing. The author of the study conduct the reliability of the scales, rotate the factors and the regression analysis. This step is to find out the relationship and the impact of each proposed factors on the education quality of the Buddhist schools in Southern Vietnam. 3.2 Population and Sample A population consists of all items of interest in a research. According to Evans (2007), a sample was a subset of a population and it provides insight about populations. The population of the study were all the monks and nuns who are studying at the Buddhist schools in the southern Vietnam (not include Vietnam Buddhist Academies). The estimated total population of the study was about 4,000 monk and nun students. 77 Given the large size of the population and the impossibility of including all its elements in the study, sampling was necessary. Sampling is the selection process of a representative subset of a population to determine behaviors and characteristics about the entire population (Cooper & Schindler, 2011). Researchers utilize samples to reach conclusions about the population without examining the entire population. Despite the misconception that the sample size must be a certain percentage of the population, the calculation of sample size is independent of the population size and determined in the same method regardless of the size of the population (Aaker, Kumar, & Day, 2007). The sampling frame consists of the actual population of survey participants from which a random sample is drawn to reach the sample quota specified in Table 1 (Cozby, 2009). Cozby (2009) asserted probability sampling occurs when “each member of the population has a specifiable probability of being chosen” for the sample (p. 138). The most common types of probability sampling are: (a) simple random sampling, (b) stratified random sampling, (c) systematic random sampling, (d) cluster sampling, and (e) double sampling (Cooper & Schindler, 2011). In theory, probability sampling is considered better and more accurate than nonprobability sampling. In contrast, nonprobability sampling is arbitrary because the probability of selecting a particular member of the population is unknown. Ensuring that a sample is an accurate representation of the population is not a goal of nonprobability sampling techniques (Aron, Coups, & Aron, 2011). Nonprobability sampling occurs when the elements included in the sample are the result of the judgment of the researcher and when there is much less concern that the sample is a full reflection of the population (Cooper & Schindler, 2011). Nonprobability sampling methods are (a) convenience sampling, (b) snowball sampling, 78 (c) quota sampling, and (d) judgment sampling (Aaker et al., 2007). Despite the differences between both sampling techniques, self-selection cannot be avoided because, in most cases, participants were deciding for themselves to respond to the surveys, or to ultimately withdraw from the study. This study utilized quota-sampling techniques. Quota sampling is the nonprobability equivalent of stratified sampling. Like stratified sampling, the researcher first identifies the stratums and their proportions as they are represented in the population. Then convenience or judgment sampling is used to select the required number of subjects from each stratum. According to Cooper and Schindler (2006), the size of the strata samples is calculated with two pieces of information: (1) how large the total sample should be and (2) how the total sample should be allocated among strata. In deciding how to allocate a total sample among various strata, there are proportionate and disproportionate options. One of the formulas to calculate the sample size for research is Slovin’s formula. The formula (sometimes written as Sloven’s formula) was formulated by Slovin in 1960: 𝑛= 𝑁 (1 + 𝑁𝑒 2 ) Where: - n: sample size - N: population size - e: specified margin of error With the population of 4,000 and the specified margin error of 0.05, sample size resulted from Slovin’s formula was 364. Therefore, in gathering data, the sample size was at least 364 participants, and may have limited the research due to sample size (Trochim, 79 2001). In practice, 370 potential respondents were selected to send with invitation to participate in the study as Table 3-1. Table 3-1 Data Sampling (N =370) Clusters Buddhist schools in South-Eastern Vietnam Buddhist schools in Mekong Delta region Total Potential respondents 185 185 370 Ratio 50% 50% 100% 3.3 Instruments The questionnaire is adapted and modified for data collection in this study. The scale is built based on the factors of the model proposed by the authors and organizations related to the Buddhist ethics and personalty. The factors will be explained in detail by observed variables. Likert scale with 5 levels is used in building the scale and questionnaire. Likert scale: 1 (poor), 2 (fair), 3 (good), 4 (very good), and 5 (excellent) (Likert, 1932). Redeveloped as 1. Totally disagree, 2. Disagree, 3. Hesitate, 4. Agree and 5. Completely agree. The research instrument used in this study is developed through literature review, conceptual framework and discussion by a focus group, which was designed to eliminate the uncertain variables and determine variables of the conceptual model. This is to draw some conclusions about a population of interest, so the group must consist of representative members of the larger population (Stewart, Shamdasani, & Rook, 2007). Therefore, the researcher tried to select participants who are Buddhist monk/nun students as well as Buddhis lecturers/managers at Buddhist schools in southern of Vietnam. Convenience sampling is an accepted technique to validate survey instruments (Neuman, 2011). The chosen participants in a group consist of twenty Buddhist monk/nun students and twenty 80 Buddhist lecturers/managers in Buddhist schools in southern of Vietnam. They were selected because they understand the education practice at Buddhist Schools well. After the pilot survey, the research questionnaire was revised and completed for the main research survey. The questionnaire was designed with all 46 questions divided into two parts. Part I: Main body of the questionnaire. There are 34 questions on four independent variables and 7 questions on dependent variable. Part II: Demographic Information. There are five questions presented for general information of participants’ demographic information. 3.4 Data Collection, Processing, and Analysis For direct survey, the researcher briefly informed each of the participant about the research and handed them the appropriate consent form (Appendix A). After giving them time to read and answering their questions, the researcher collects all the forms from those who agreed to participate. For online survey, all participants received an introductory electronic mail containing a link to the online surveys. A follow-up electronic mail reminder is sent to those who did not take the survey after seven days of the initial electronic mail invitation. Demographic data on gender, age, seniority in Buddhism, and career is collected from each participant. Data collection will last approximately 18 weeks from the date of sending the first electronic mail message. The participants are informed that they could request a copy of the research summary. The online survey system was hosted at https://docs.google.com/forms. No one other than the researcher had access to the administrative interface of the Website. 81 After conducting the survey, the questionnaires collected were cleaned and encoded into the database. The questionnaires with incomplete or erroneous answers were removed to ensure that the data have enough reliability when put into analysis. The survey results were extracted from the online database into a single Microsoft Excel file, together with the inputted results from direct survey then transformed to an IBM Statistical Package for Social Sciences (SPSS) data file for subsequent analysis. Researchers basing their studies on measurement must be concerned with the reliability, dependability, and accuracy of measurement (Cronbach, 1951). If the tools used in data collection and analysis are invalid or unreliable, the results would be inconclusive (Salkind, 2011). In this study, there are four major data analysis techniques that will be adopted, namely; descriptive statistics, reliability test analysis, exploratory factor analysis (EFA), Pearson’s correlation, multiple linear regressions, and ANOVA analysis. First, descriptive statistics is conducted and it is considered as univariate statistics whether each item in the questionnaire is revealed by its characteristics such as frequency and means value. This analysis also provides basis for recognizing data patterns and trends as well as the concentration on particular groups. Second, reliability of the survey scale is put into validation with the application of Cronbach’s alpha. Kaiser Meyer-Olkin (KMO) and Bartlett’s test is a measure of sampling adequacy KMO values range between 0 to 1; values below .60 are at the threshold of acceptability, values between .70 and .80 are good and values exceeding .80 are very good and those greater than .90 are excellent (Field, 2005). Alpha is defined as a measure of reliability that ranges from 0 to 1, with values of .60 to .70 which regarded the lower limit of acceptability. Bartlett’s test of sphericity (BTS) is a statistical test for the overall 82 significance of all correlations within a correlation matrix. BTS should be less than .001 (Hair, 1995). Cronbach’s alpha provides a measure of the reliability of a scale formed by a linear combination of separate items, which in standardized form is a function of the average correlation of the measures underlying the scale. It ranges from 0 to 1, with values of .60 to .70 which regarded the lower limit of acceptability; reflect that in exploratory research, values of .60 are acceptable (Hair, 1995). Finally, ANOVA analysis is conducted with objective of determining the difference between participants in different demographic variables and their Perceived Education Quality at VBAs. The significance level, also known as the alpha (α) level, is used to decide whether to reject or not reject the null hypothesis (Barber & Korbanka, 2003). A significance level of p = .05 is used in this correlation study. The t-test is performed to determine the variability of proposed factors and education quality at VBAs in Southern of Vietnam. The mean and standard deviation are calculated to determine how tightly distributed the sample was around the mean to confirm the differences in the participants’ perception of social ethics based on Buddhist philosophy factors (Cooper & Schindler, 2011). Multiple regression tests are used to determine if the education quality at Buddhist schools in southern Vietnam could be predicted based on proposed factors. 3.5 Summary This chapter presented the descriptions of the research design and procedures used for this study. The descriptions of the methodology covered population and sample, variables, the instrument, data collection, and ethical considerations. 83 84 Chapter 4. Findings 4.1 Demographic Profile of the Respondents Of the total number of 370 potential participants in the survey, 368 responded to it. After receiving the responded questionnaires, selecting the invalid ones was implemented. Through the selection, seven questionnaires were invalid due to serveral blanks and the scores based on one column of Likert measure. Therefore, 361 questionnaires were valid for the research data. The results of the demographic research indicated that: Regarding the demographic structure, there are 166 male respondents, accounting for 45.983% and 195 female respondents, making up 54.017%. It also implies the balance of gender in the surveyed samples (Table 4-1). Table 4-1 Frequencies for Gen Gen Male Female Total Frequency 166 195 361 Percent 45.983 54.017 100.000 Valid Percent 45.983 54.017 Cumulative Percent 45.983 100.000 Regarding the age, there are 21 respondents under 21 years old, accounting for 5.817% in the total number of surveyed samples; 263 respondents from 21 – 30 years (72.853%); 68 respondents from 31 – 40 years old (18.837%); and nine respondents over 40 years old (2.493%). It is suitable with the reality that the proportion of number of Buddhist learners at the ages from 21 to 40 years old is very high while only a few number of Buddhist learners under 21 years old and above 40 years old. It may be attributed to the fact that people under 20 years old need to take general education while people above 40 years old may have finished the intermediate Buddhism learning program. It indicates the surveyed samples are also quite typical by age (Table 4-2). 85 Table 4-2 Frequencies for Age Age <21 21-30 31-40 >40 Total Frequency 21 263 68 9 361 Percent 5.817 72.853 18.837 2.493 100.000 Valid Percent 5.817 72.853 18.837 2.493 Cumulative Percent 5.817 78.670 97.507 100.000 Regarding the participants’ program of learning, 63 participants following Primary/Short term programs occupied 17.452%; 112 participants following Associate programs occupied 31.025%; and 186 following undergraduate programs occupied 51.524% (Table 4-3). Table 4-3 Frequencies for DEG DEG Frequency Percent Valid Percent Cumulative Percent Primary/Short term 63 17.452 17.452 17.452 Associate 112 31.025 31.025 48.476 College 186 51.524 51.524 100.000 Total 361 100.000 Regarding the Seniority in Buddhism, 104 participants approaching Buddhism under five years occupied 28.809%; 122 getting cultivation from 5 to 10 years occupied 33.795%; 86 being Buddhist learners between 11 and 15 years occupied 23.823%; and 49 being ordained over 15 years occupied 13.573% (Table 4-4). Table 4-4 Frequencies for SEN SEN Frequency Percent Valid Percent Cumulative Percent < 5 years 104 28.809 28.809 28.809 5 - 10 years 122 33.795 33.795 62.604 10 - 15 years 86 23.823 23.823 86.427 > 15 years 49 13.573 13.573 100.000 Total 361 100.000 Regarding the race of respondents, 265 participants are Viet (Kinh) race occupied 73.407%; 44 respondents are Chinese, accounting for 12.188%; 49 respondents are Khmer, 86 accounting for 13.573% being; and three people of other ethnicities, accounting for 0.831% (Table 4-5). Table 4-5 Frequencies for Race Race Viet Hoa Khmer Other Total Frequency 265 44 49 3 361 Percent 73.407 12.188 13.573 0.831 100.000 Valid Percent 73.407 12.188 13.573 0.831 Cumulative Percent 73.407 85.596 99.169 100.000 From the above descriptive statistics, it can be seen that the surveyed samples are quite typical for Buddhism learners in the Buddhsit schools in the southern of Vietnam. 4.2 Relationship between the proposed factors and perceived quality of education of Buddhist schools In answering the research question of “What is the relationships between the proposed factors and Perceived Education Quality of Buddhist schools?”, the writer used a proposal research model to process the scale verification through the coefficient of Cronbach’s Alpha and the analysis of EFA. The model consisted of four proposed factors related to the perceived education quality of Buddhist Schools: (1) CTP: Curriculum/Training Program; (2) QTS: Quality of Teaching Staff; (3) FA: Facilities; and (4) SLS: Support Learners Services. 4.2.1 Scales Validity Measurement The scale validity and realibility is estimated with the internal consistent method through the Cronbach’s Alpha coefficient. Using Cronbach’s Alpha analysis before EFA analysis is to eliminate unsuitable variables forming false factors (Nguyễn Đình Thọ & Nguyễn Thị Mai Trang, 2011). The study to implement the measurement of the scales 87 depends on norms: (1) Eliminating the observed variables with the Corrected Item-Total Correlation less than 0.3; and selecting the measure scale with the reliability of Alpha more than 0.6. Generally, the coefficients of Cronbach’s Alpha of the scales are quite high and vacillate from 0.781 to 0.865. The Corrected Item-Total Correlation of the scales over 0.3 meets the correlative norm (Nguyễn Đình Thọ, 2014). The outcome of the analysis of Cronbach’s Alpha of the five scales is presented in Table 4-6. Table 4-6 Cronbach’s Alpha Coefficients of Scales Item-Total Statistics CTP Scale Mean if Scale Variance if Corrected Item-Total Cronbach's Alpha if Item Deleted Item Deleted Correlation Item Deleted Scale: Curriculum/Training Program, Cronbach's Alpha = 0.786 CTP1 18.63 10.034 .543 .752 CTP2 18.87 9.339 .641 .727 CTP3 18.89 9.301 .640 .727 CTP4 19.11 10.157 .409 .788 CTP5 18.63 10.127 .506 .761 CTP6 18.61 10.295 .492 .764 QTS Scale: Quality of Teaching Staff, Cronbach's Alpha = 0.865 QTS1 31.30 13.574 .593 .903 QTS2 31.89 12.024 .619 .908 QTS3 31.36 12.997 .773 .890 QTS4 31.37 12.790 .786 .888 QTS5 31.54 12.221 .742 .891 QTS6 31.55 12.454 .671 .898 QTS7 31.36 13.003 .780 .890 QTS8 31.37 12.840 .771 .889 FA Scale: Facilities, Cronbach's Alpha = 0.711 FA1 32.20 16.005 .370 .690 FA2 32.19 16.061 .345 .693 FA3 32.35 15.641 .378 .688 FA4 32.25 15.552 .413 .682 FA5 32.28 15.498 .420 .681 FA6 33.27 14.762 .342 .697 88 FA7 32.90 15.384 .341 .694 FA8 33.31 13.831 .438 .676 FA9 33.38 13.708 .461 .670 SLS Scale: Support Learners Services, Cronbach's Alpha = 0.825 SLS1 38.16 26.430 .520 .810 SLS2 38.39 26.006 .476 .813 SLS3 38.40 25.082 .566 .804 SLS4 38.17 25.690 .584 .804 SLS5 38.22 25.690 .586 .804 SLS6 38.38 25.438 .556 .806 SLS7 39.35 24.897 .477 .814 SLS8 39.47 24.899 .483 .814 SLS9 38.91 26.619 .408 .819 SLS10 38.55 27.319 .395 .819 SLS11 39.04 26.223 .440 .816 QE Scale: Education Quality, Cronbach's Alpha = 0.781 QE1 22.73 9.750 .566 .742 QE2 23.06 10.588 .397 .774 QE3 22.78 9.994 .552 .746 QE4 22.49 9.323 .634 .727 QE5 23.21 9.835 .419 .775 QE6 22.72 9.870 .466 .762 QE7 22.50 10.228 .541 .749 Through the Exploratory Factor Analysis (EFA) in the next steps, we will concretely see if the scales above are confirmed or divided into new factors or eliminated. This will estimate the scales more accurately. Simultaneously, this will eliminate the measuring variables, which do not meet the requests to reach the identity of the scales. 4.2.2 Factor Analysis After testing the reliability of the scale, the research model has five factors with 41 observed variables. In this study, the factor extraction method used is “Principal Component Analysis” with “Varimax” rotation. The scale is accepted when 0.5 ≤ KMO ≤ 1 (Hair et al., 1998); Sig coefficient. = 0.000 of Bartlett's test shows that the observed 89 variables are statistically significant; The total variance extracted has a value of ≥ 50% (Gerbing and Anderson, 1988) and the factor loading factor ≥ 0.5, proving that the reliability is appropriate for factor analysis. After analyzing Cronbach's Alpha, four factors (independent variables) with 34 observed variables were included for factor analysis. From Table 4-07, the KMO test coefficient calculated from the survey sample is 0.898 < 1.0. Thus, the survey sample size is suitable enough to conduct factor analysis. The Bartlett test is significant for Sig. = 0.000 shows that the observed variables are correlated with each other in terms of the total number of observations. Table 4-7 The Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s Test of Sphericity (2nd time) for independent variables KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity Approx. Chi-Square ,898 6417,388 df 465 Sig. ,000 To identify the main factors, the thesis used factor extraction method based on Eigenvalue. The results of EFA analysis showed that, four factors explained 55.955% > 50% of the variation of the data set. Table 4-8 shows that all observed variables have Factor Loading coefficient > 0.5, the independent variables in the research model have convergent and discriminant values. Table 4-8 Rotated Component Matrix for independent variables Rotated Component Matrixa Component 1 2 QTS1 ,850 QTS4 ,809 QTS3 ,791 3 4 90 QTS8 ,777 QTS2 ,771 QTS5 ,755 QTS7 ,729 QTS6 ,634 FA5 ,834 FA9 ,810 FA1 ,726 FA7 ,717 FA8 ,679 FA2 ,662 FA4 ,658 FA3 ,508 SLS3 ,895 SLS4 ,876 SLS5 ,874 SLS2 ,858 SLS6 ,819 SLS11 ,710 SLS8 ,700 SLS10 ,675 SLS9 ,662 SLS7 ,610 CTP2 ,789 CTP3 ,720 CTP6 ,685 CTP4 ,661 CTP5 ,543 CTP1 ,532 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 5 iterations. Thus, after EFA analysis, the model has four factors (independent variables) with 32 observed variables. Specifically, factor of Curriculum/Training Program (CTP) include CTP2, CTP3, CTP6, CTP4, CTP5, CTP1; factors of Quality of Teaching Staff (QTS) include QTS1, QTS4, QTS3, QTS8, QTS2, QTS5, QTS7, QTS6; infrastructure factors 91 (FA) include FA5, FA9, FA1, FA7, FA8, FA2, FA4, FA3; Factors of Support Learners Services (SLS) include SLS3, SLS4, SLS5, SLS2, SLS6, SLS11, SLS8, SLS10, SLS9, SLS7. Concerning the factor analytic result for the dependent variable, according to the proposed conceptual framework, the scale of the perceived education quality of Buddhist Schools as the unidimensional concept consists of seven observed items coded from QE1 to QE7. After analyzing Cronbach's Alpha, one factor (dependent variable) with seven observed variables was included for exploratory factor analysis (EFA). Results Table 4-9 obtained KMO coefficient of 0.798 < 1.0, proving the suitability of the EFA model; Bartlett test is significant for Sig. = 0.000 shows that the observed variables are correlated with each other in terms of the total number of observations. Table 4-9 The Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s Test of Sphericity for dependent variable KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity Approx. Chi-Square df Sig. .798 638.526 21 .000 The factor rotation matrix results in Table 4-10 show that all observed variables have Factor Loading coefficients > 0.5. The results of EFA analysis showed that, 01 factor explained 61.921% > 50% of the variation of the data set and the Initial Eigenvalues of 1.973. Therefore, the dependent variables in the research model have convergent and discriminant values. 92 Table 4-10 Rotated Component Matrix for dependent variable Component Matrixa Component 1 QE4 Graduated monks and nuns have basic knowledge of Buddhist scriptures such as Pali, Sanskrit, Tibetan, or ancient Chinese... QE1 Graduated monks and nuns master the general and interdisciplinary knowledge of the training program QE3 .776 .734 Graduated monks and nuns master basic and in-depth knowledge of Buddhist majors such as Pali, Sanskrit, Buddhist Philosophy, Buddhist History, Vietnamese Buddhism, .711 Chinese Literature, and Dharma Studies QE7 The quality of the school's training keeps up with the world's Buddhist training trends QE6 The quality of the school's training meets the expectations of the Vietnam Buddhist Sangha QE5 The quality of the school's training meets the expectations of learners QE2 Graduated monks and nuns master basic Buddhist knowledge from history, philosophy, tradition and Buddhist scriptures .683 .610 .557 .553 Extraction Method: Principal Component Analysis. a. 1 components extracted. All the results of the EFA analysis above show us that the scales revealing the factors influencing the education quality of VBAs in Southern of Vietnam attain the convergent values. In other words, the observed variables represent the constructs which need to measure. Therefore, after carrying out the EFA analysis, the conceptual framework is kept intact. This framework is completely suitable for the research tendency on the factors influencing perceived quality of education in Buddhist schools in Southern Vietnam. 4.3 Extent of relationships between proposed factors and perceived quality of education in Buddhist schools in Southern Vietnam In answering the research question of “What are the extent of relationships between proposed factors and Perceived Education Quality of Buddhist schools in Southern 93 Vietnam?” the instrument of the correlative analysis and that of the analysis of the multiregression analysis were used. 4.3.1 Correlation analysis There is the correlative verification of the variables in the model: between the dependent variables and the independent ones and between the independent ones and each other. Using the Pearson correlation coefficient is to quantify the close levels of the linear relationships between the two quantitative variables. If the absolute value of the Pearson coefficient is much closer to 1, the linear correlation of the two variables is much closer (Hoàng Trọng và Chu Nguyễn Mộng Ngọc, 2008). Table 4-11 summarizes the correlation of the Pearson statistics on the explication of the variables. Table 4-11 Correlation between dependent and independent variables Correlations CTP CTP Pearson Correlation QTS 1 Sig. (2-tailed) N QTS FA SLS QE Pearson Correlation 361 .188** FA SLS QE .188** .172** .348** .405** .000 .001 .000 .000 361 361 361 361 1 .467** .391** .504** .000 .000 .000 361 361 361 1 .436** .510** .000 .000 Sig. (2-tailed) .000 N 361 361 .172** .467** Sig. (2-tailed) .001 .000 N 361 361 361 361 361 .348** .391** .436** 1 .520** Sig. (2-tailed) .000 .000 .000 N 361 361 361 361 361 .405** .504** .510** .520** 1 Sig. (2-tailed) .000 .000 .000 .000 N 361 361 361 361 Pearson Correlation Pearson Correlation Pearson Correlation **. Correlation is significant at the 0.01 level (2-tailed). .000 361 94 Table 4-11 shows that there is a linear correlation relationship between the independent variables and the dependent variables because the P_value is less than 5%. In addition, the Pearson coefficients between these variables are all positive, showing a positive relationship. That is, as the value of the independent variables increases, the more the value of the dependent variables increases. Moreover, the correlative matrix is used to verify the discriminant validity between the independent variables and each other and between the independent variables and the dependent ones. The result of the correlation coefficients under 0.85 shows the discriminant validity can exist between the two variables (John & Benet-Martinez, 2000). All the absolutely correlation coefficients between the two variables vacillate from 0.172 to 0.520 and do not exceed the conditional coefficient of 0.85. This indicates the attainment of the discriminant validity. In other words, the scales in the research have measured the different concepts of the research. The matrix also points out that the mutual correlation of the independent variables. 4.3.2 Hypotheses testing with Linear MultiRegression Analysis Defining the relationships of the variables and defining the relationships between the independent variables (the influencing factors) and the dependent ones (Perceived Education Quality of Buddhist schools in Southern Vietnam) in the conceptual framework are implemented with the method of the linear multiregression analysis. The outcome is used to predict the value of the dependent variable through that of the independent one(s). The result of the multi-regression analysis with Enter method presents the R2 value of 0.819; the adjusted R2 value is 0.665; and shows that 66.5% of the variable Perceived Education Quality of Buddhist schools in Southern Vietnam is explained by independent factors (SLS, CTP, QTS, and FA) (Table 4-12). 95 Table 4-12 Model Summary of MultiRegression Analysis Model Summaryb Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson .819a .670 .665 .22231 1.880 a. Predictors: (Constant), SLS, CTP, QTS, FA b. Dependent Variable: QE Table 4-13 indicates that in ANOVA analysis, the F value of 78.826 has a considerable statistical signification (Sig. p<0.001). Thus, the Null hypothesis of the nonlinear relationship is rejected. This shows that multiregression model is suitable for presenting relationships between the independent factors and Perceived Education Quality of Buddhist schools in Southern Vietnam (QE). Table 4-13 Covariance analysis results ANOVAa Model Sum of df Mean Squares 1 F Sig. Square Regression 15.583 4 3.896 Residual 17.594 356 .049 Total 33.177 360 78.826 .000b a. Dependent Variable: QE b. Predictors: (Constant), SLS, CTP, QTS, FA The phenomenon of Collinearity of predict variables is presented on the right of Table 4-14. The VIF coefficient of the independent variables is mostly between 1.142 and 1.427; and the Tolerance value is from 0.701 to 0.876. That is, the independent level of the variables is quite high. Values of VIF coefficients (<10) and Durbin-Watson (1 < 1.880 < 3) show that the model does not have multicollinearity and does not have first-order autocorrelation between adjacent errors (Hoang Trong & Chu Nguyễn Mộng Ngọc, 2005). 96 Table 4-14 Regression Coeeficicents of the factors relating to QE Coefficientsa Model Unstandardized Standardized Coefficients Coefficients B Std. t Sig. Collinearity Statistics Beta Tolerance VIF Error 1 (Constant) 1.574 .137 11.506 .000 CTP .215 .020 .204 5.666 .000 .876 1.142 QTS .289 .030 .271 5.610 .000 .737 1.357 FA .207 .039 .193 5.473 .000 .706 1.416 SLS .189 .028 .131 5.001 .000 .701 1.427 a. Dependent Variable: QE The coefficients indicate that the relative importance of the independent variables (CTP, QTS, FL, and SLS) are put into the model to explicate QE because the significant level of p<0.05 (Table 4-14). The B coefficients point out the strength of the relationship between the independent variables and the dependent variable and are ranged in the following order: (1) QTS – Quality of Teaching Staff, (2) CTP – Curriculum/Training Program, (3) FA – Facilities, and (4) SLS – Support Learner Services. Through the result of the test of the adjusted R2 parameters, F – test, t- test, and VIF meet the requirement, the model choice factors affecting Perceived Education Quality of Buddhist schools in Southern Vietnam with 04 factors are indicated as follows. QE = 1.574 + 0.289QTS + 0.215CTP + 0.207FA + 0.189SLS The regression coefficients contain the positive signs. This shows the positive relationships between the independent variables and the dependent ones. That is, when the values of the independent variables increase, those of the dependent ones go up, too. QTS as a factor reveals the strongest relation for the Perceived Education Quality of Buddhist schools in Southern Vietnam. The regression coefficient of the factor is the highest. The 97 outcome supports all hypotheses of H1, H2, H3, and H4. The total results of testing the conceptual framework and the research hypotheses are presented in Table 4-15. Table 4-15 Hypotheses testing results Id Hypotheses H1 Curriculum/Training program has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H2 Quality of Teaching Staff has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H3 Facilities has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. H4 Support learners services has a positive impact on Perceived Education Quality of Buddhist schools in Southern Vietnam. Test Results Accepted Accepted Accepted Accepted 4.4 Model presenting the relationships between proposed factors and quality of education in Buddhist schools in Southern Vietnam This section aimed to answer the following research question: What model can be presented for the relationships between proposed factors and quality of education in Buddhist schools in Southern Vietnam? The research outcomes, through the multiregression analysis and hypotheses test, show the approval of the research hypotheses (Table 4-15). Therefore, the conceptual framework of the relationships between the proposed factors and quality of education in Buddhist schools in Southern Vietnam remains keeping the four factors of the proposed framework. Concretely, they are Curriculum/Training program; Quality of Teaching Staff; Facilities; and Support learners services. This is the final conceptual framework of the research (Figure 4-1). 98 The linear regression model of the relationships between the proposed factors and perceived quality of education of Buddhist schools in Southern Vietnam is determined through the formula as follows: QE = 1.574 + 0.289QTS + 0.215CTP + 0.207FA + 0.189SLS Curriculum/Training program 0.215 Quality of Teaching Staff Perceived Education Quality of Buddhist Schools 0.289 Facilities 0.207 Support learners services 0.189 Demographics Figure 4-1 Final Conceptual Framework of factors affecting the perceived education quality of Buddhist schools in Southern Vietnam 4.5 Differences in Perceived Education Quality of Buddhist schools in Southern Vietnam in terms of other demographic factors To answer the research question “Are there any differences in Perceived Education Quality of Buddhist schools in Southern Vietnam in terms of other demographic factors?” the author used the descriptive statistical analysis with arithemethic mean and standard deviation for the items the perceived education quality of Buddhist schools in Southern Vietnam scale. In this scale, the respondents were asked to evaluate the Perceived education quality through the five following levels from (1) Totally Disagree to (5) Completely Agree. Since it is an interval scale, the formula (n-1/n) = 4/5= 0.8 should be applied (Tague, 2005). Then, the mean value receiving from the survey result of the scale is explained as follows: 99 ✓ From 1 – 1.80: Very low ✓ From 1.81 – 2.60: Low ✓ From 2.61 – 3.40: Medium ✓ From 3.41 – 4.20: High ✓ From 4.21 – 5.0: Very High Table 4-16 presents the descriptive statistical results of the rating of the statements about the Perceived education quality of Buddhist schools in Southern of Vietnam. The statement with the highest score is “Graduated monks and nuns have basic knowledge of Buddhist scriptures such as Pali, Sanskrit, Tibetan, or ancient Chinese...” with the arithmethic mean of 4.09 in the 5-levels Likert scale. The statement getting the lowest score is “Graduated monks and nuns master basic Buddhist knowledge from history, philosophy, tradition and Buddhist scriptures” with its mean value 3.37. In general, the synthetic mean of the Perceived education quality of Buddhist schools in Southern Vietnam is high with average score of 3.95. Table 4-16 Descriptive Statistics on Perceived education quality of Buddhist Schools in Southern Vietnam Descriptive Statistics N Minimum Maximum Mean Std. Deviation QE1 Graduated monks and nuns master the 1 5 3.86 .768 1 5 3.37 .742 2 5 3.52 .726 general and interdisciplinary knowledge of the training program QE2 Graduated monks and nuns master basic Buddhist knowledge from history, philosophy, tradition and Buddhist scriptures QE3 Graduated monks and nuns master basic and in-depth knowledge of Buddhist majors such as Pali, Sanskrit, Buddhist Philosophy, 100 Buddhist History, Vietnamese Buddhism, Chinese Literature, and Dharma Studies QE4 Graduated monks and nuns have basic 2 5 4.09 .799 1 5 3.80 .910 1 5 3.86 .844 2 5 4.08 .682 2.87 4.61 3.95 .304 knowledge of Buddhist scriptures such as Pali, Sanskrit, Tibetan, or ancient Chinese... QE5 The quality of the school's training meets the expectations of learners QE6 The quality of the school's training meets the expectations of the Vietnam Buddhist Sangha QE7 The quality of the school's training keeps up with the world's Buddhist training trends QE Perceived Education Quality To get the detailed analysis, the author carried out the differences testing on the Perceived education quality of Buddhist schools in Southern Vietnam among the respondents’ demography (Age, Gender, Program studying, Race, and Number of years after ordained). Regarding the qualitive variables with more than two choices (Age, Program studying, Race and Number of years after ordained), the author used the analytic of variance (ANOVA). And concerning the variables of Gender, due to the two ways to choose, the author used the analysis of Independent Sample T– test. The statistical differentiate reaches the confident level of 95% (or significant level of Sig. < 0.05). Implementing the analysis of the Independent Sample T– test is to verify the Gender to differentiate the Perceived education quality of Buddhist Schools. Through the table of the Independent Samples Test, the Levene's Test for Equality of Variances indicates the significant levels in turn as follows: the Sig. of 0.088, greater than the standard of 0.05. Then the variance between male and female is not different, at the t-test for Equality of Means, sig. value is .178, greater than 0.05. Therefore, there was no significant difference 101 of the Perceived education quality of Buddhist Schools between monks and nuns students. (Table 4-17) Table 4-17 Independent Samples Test for Gender toward Perceived education quality of Buddhist Schools Independent Samples Test Levene's Test for Equality of Variances F Sig. Q E Equal variance s assume d Equal variance s not assume d 2.93 1 .08 8 t-test for Equality of Means t df 1.34 8 359 1.34 2 342.03 9 Sig. (2tailed ) .178 Mean Differenc e -.04317 Std. Error Differenc e .03202 .181 -.04317 .03218 95% Confidence Interval of the Difference Lower Upper .0198 .1061 0 5 .1064 7 .0201 3 Implementing the one-way ANOVA analysis is to verify the differences in Perceived education quality of Buddhist Schools. A requirement for the ANOVA test is that the variances of each comparison group are equal. Field (2009) recommended using the Levene’s test for homogeneity of variance to conclude if the variance is significantly different from one group to another. The results in Table 4-18 shows that the signìicance of Levene statistic = 0.837 (>0.05) so at 95% confidence hypothesis H0: “Equal variances” was accepted, and reject hypothesis H1: “Different variances”. Then, the results of ANOVA analysis can be used. Table 4-18 Homogeneity of Variances test using Levene Statistic for Age groups Test of Homogeneity of Variances QE Levene Statistic .284 df1 df2 3 Sig. 357 .837 102 The ANOVA analysis result in Table 4-19 shows that the F value was 2.460 with the significant level of 0.062 (>0.05). Therefore, with observational data, it is not enough to confirm that there is a difference in estimating the Perceived education quality of Buddhist Schools among the respondents at different age groups. Table 4-19 ANOVA analysis on Perceived education quality of Buddhist Schools per Age group ANOVA QE Sum of Squares Between Groups df Mean Square .672 3 .224 Within Groups 32.505 357 .091 Total 33.177 360 F Sig. 2.460 .062 Implementing the one-way ANOVA nanalysis is to verify the difference of program that the participants follow for the Perceived education quality of Buddhist Schools. The results in Table 4-20 shows that the significance values of the Levene statistics based on a comparison of medians for all program variables was .821, much greater than .05. This result means the requirement of homogeneity of variance has been met, and the ANOVA test can be considered to be robust. Table 4-20 Homogeneity of Variances test using Levene Statistic for Program Test of Homogeneity of Variances QE Levene Statistic ,306 df1 df2 3 Sig. 381 ,821 Table 4-22 shows that, the F value is 1.273 with the Sig. value of 0.283, above .05. Therefore, there is no significant differences among the participant’s program groups in Perceived education quality of Buddhist Schools. In other words, students from all different 103 programs in Buddhist Schools do not have significant differences in their evaluation of education quality of Buddhist schools. Table 4-21 ANOVA analysis on Perceived education quality of Buddhist Schools per Program ANOVA QE Sum of Squares Between Groups df Mean Square 1,895 3 ,632 Within Groups 188,977 381 ,496 Total 190,872 384 F Sig. 1,273 ,283 Implementing the one-way ANOVA analysis is to test the difference of the groups of participants by years after ordained for the Perceived education quality of Buddhist Schools. The results in Table 4-23 shows that the significance values of the Levene statistics based on a comparison of medians for all participant groups was .476, greater than .05. This result means the requirement of homogeneity of variance has been met, and the ANOVA test can be considered to be robust. Table 4-22 Homogeneity of Variances test using Levene Statistic for Seniority Test of Homogeneity of Variances QE Levene Statistic df1 ,834 df2 3 Sig. 381 ,476 Table 4-24 shows that, the F value is 1.714 with the Sig. value of 0.164, above .05. Therefore, there is no significant differences among the participant’s seniority groups in Perceived education quality of Buddhist Schools. In other words, students from all different seniority groups do not have significant differences in their evaluation of education quality of Buddhist schools. 104 Table 4-23 ANOVA analysis on Perceived education quality of Buddhist Schools per Seniority ANOVA QE Between Groups Within Groups Total Sum of Squares 2,542 188,330 df 3 381 190,872 Mean Square ,847 ,494 F 1,714 Sig. ,164 384 Implementing the one-way ANOVA analysis is to test the difference of the race for the Perceived education quality of Buddhist Schools. The results in Table 4-24 shows that the significance values of the Levene statistics based on a comparison of medians for all age groups variables was .04, less than .05. This result means the hypothesis of homogeneity of variance between groups of qualitative variable values was violated. That is, the variance between groups of race is not equal. We cannot use the ANOVA table but will enter the Welch test for the case of violation of the uniform variance assumption. Table 4-24 Homogeneity of Variances test using Levene Statistic for Race Test of Homogeneity of Variances QE Levene Statistic df1 df2 Sig. 2.796 3 357 .040 Running ANOVA analysis with the Welch test, Table 4-25 shows that the Robust Tests of Equality of Means has the Asymptotically F distributed of 2.278 with the Sig. of 0.138, greater than .05. Therefore, there is no significant differences in estimating the Perceived of education quality of Buddhist Schools among the respondents at different race groups. Table 4-25 Analysis of Variance with Welch test for Age Robust Tests of Equality of Means QE Statistica df1 Welch 2.278 a. Asymptotically F distributed. 3 df2 10.689 Sig. .138 105 4.6 Summary The purpose of this chapter was to answer the research questions and present the results of the study. The research questions were answered through descriptive statistics, factor analysis, analysis of variance and regression analysis. The descriptive statistics provided demographic information on the study participants. Regression analysis was performed to determine the extent to which the extracted factors influence the perceived education quality of Buddhist schools in Southern of Vietnam. All the results of the EFA analysis showed that the scales revealing the factors influencing the perceived education quality of Buddhist Schools in Southern of Vietnam attain the convergent values. After carrying out the Cronbach alpha and EFA analysis, the conceptual framework is kept intact. This framework is completely suitable for the research tendency on the factors influencing the perceived education quality of Buddhist schools in Southern of Vietnam. Correlation analysis and regression analysis were employed to determine the extent to which the extracted factors predict the students’ peerception of education quality of Buddhist Schools in the southern of Vietnam. Four factors that significantly predicted the dependent variable were determined. 106 Chapter 5. Discussion, Recommendations, and Conclusions 5.1 Discussion of the findings From the above research results, it is shown that: Firstly, Theoretical research model built by the author based on research models of authors such as Abdullah (2006); SEAMEO (1999); Le Ngoc Thang (2017); Varana et al. (2015); Nguyen Minh Nha and Nguyen Thi Thanh Thuy (2018). From these research models, based on the opinions of experts, the author has identified four core factors that affect the Perceived Education Quality of Buddhist schools in Southern Vietnam: Quality of Teaching Staff, Facilities, Curriculum/Training program, and Support learners services. From these factors, the author has built a scale including 5 core factors and 41 observed variables (draft scale). After the results of testing the reliability (Cronbach alpha) and the compatibility of the sample set (KMO), 9 variables were removed, and the scale remaining 5 factors with 32 observed variables were used in the formal study. This research model is consistent with the collected data from actual research in Buddhist schools in southern Vietnam.The results of EFA analysis showed that, four factors explained 55.955% > 50% of the variation of the data set. The research result shows that all observed variables have Factor Loading coefficient > 0.5, the independent variables in the research model have convergent and discriminant values. Secondly,the research results show the existence of factors affecting the perceived quality of education in Buddhist schools in Vietnam, namely: Curriculum/Training program; Quality of Teaching Staff; Facilities; and Support learners services. 107 All four factors above explained 66.5% of the variation in education quality. The above four factors all have a positive influence on the perceived quality of education at Buddhist schools. Of the four factors above, the strongest impact belongs to Quality of Teaching Staff (regression weight is 0.289; p is 0.000<0.05). This result is entirely consistent with the author's point of view on the position and role of the teaching staff in the quality of education in schools as Orina (2005); UNESCO (2004); Leu and Price-Rom (2005); Doan Huong, (2017); and Nguyen Binh (2012). The second strongest is Curriculum/Training program with a regression weight of 0.215 (p value is 0,000<0,05). This result shows the role of factor of Curriculum/Training program in the quality of education and it is also consistent with the views of authors such as Iwasiw, Goldenberg & Andrusyszyn (2005); LeBlanc & Nguyen (1997); Ling, Chai et al.(2010); Harvery & Green, (1993); Church, (1998); Doan Van Dung, (2015); and Nguyen Thu Huong (2014). The third is Facilities with a regression weight of 0.207 (p value is 0,000 <0,05). This result indicates that the factor of Facilities has a certain influence on the perceived quality of education in Buddhist schools in Vietnam and this result is also consistent with the views of the authors such as: Kwan and Ng, (1999); Hauptman, (2006); Chen et al., (2007); Gamage et al., (2008); Nguyen Van Tuan, (2008); and Mohamed et al (2018). The last is Support learners services with a regression weight of 0,189. That said, the school's support has implications for the perception of the quality of education in Buddhist schools. This result is also consistent with the research results of authors such as Malik et al. (2010) Nadiri et al. (2009); Weerasinghe and Fernando (2018); Aigbavboa and Thwala, (2013). The regression coefficients contain the positive signs. This shows the positive relationships between the independent variables and the dependent ones. That is, when the 108 values of the independent variables increase, those of the dependent ones go up, too. Therefore, the research hypotheses from H1 to H4 are accepted, that is, there is a positive impact of the factors (Curriculum/Training program; Quality of Teaching Staff; Facilities; and Support learners services) on the Perceived Education Quality of Buddhist schools in Southern Vietnam. So, in order to increase perceived quality, the management of Buddhist schools should prioritize supporting policies according to the factors with the above priority. Thirdly, the extent of the relationships between the proposed factors and the Perceived Education Quality of Buddhist schools in Southern Vietnam. Research results show that There is a correlative verification of the variables in the model: between the dependent variables and the independent ones and between the independent ones and each other. There is a linear correlation relationship between the independent variables and the dependent variables because the P_value is less than 5%. In addition, the Pearson coefficients between these variables are all positive, showing a positive relationship. That is, the value of the independent variables increases, the more the value of the dependent variables increases. The result of the correlation coefficients under 0.85 shows that discriminant validity can exist between the two variables (John & Benet-Martinez, 2000). All the absolute correlation coefficients between the two variables vacillate from 0.172 to 0.520 and do not exceed the conditional coefficient of 0.85. This indicates the attainment of the discriminant validity. Regarding the correlation between the independent variables in order from strong to weak, the research results show that the strongest is Quality of Teaching Staff -Facilities, 109 with a correlation coefficient of 0.467 (P value = 0.000, very significant); followed by Support learners services - Facilities of 0.436; p=0,000); third is the Quality of Teaching Staff - Support learners services which is 0.391 (p=0,000); fourth is the Curriculum/Training program - Support learners services of 0.348 (p=0,000); fifth is Curriculum/Training program - Quality of Teaching Staff is 0.188 (p=0,000); the final Curriculum/Training program - Facilities is 0.172 (p=0,001). Thus, when factor of Quality of Teaching Staff and Support learners services has a great role in influencing other factors in the research model. Both these factors also have the strongest impact on the dependent variable. Therefore, in school management, the leadership should give priority to these two factors. Fourthly, Out of the total of 361 research samples, female respondents account for a higher proportion than men, corresponding to 54.01%. This shows that women, especially nuns, are very enthusiastic participants in this study.The age of participants in this study from 21 to 30 accounted for the highest percentage (72.85%), this is a young, dynamic group of students with awareness and deep understanding of the research problem. Perceptions of research participants about the Perceived education quality of Buddhist schools in Southern Vietnam. The descriptive statistical results of the rating of the statements show that, in general, the synthetic mean of the Perceived education quality of Buddhist schools in Southern Vietnam is high with an average score of 3.95/5 points. ANOVA analysis and T-test were used to determine the demographic differences of study participants in terms of gender, age, educational program, and a number of years of experience). The test results show that there are no statistically significant differences in terms of gender, age, curriculum, and years of experience in terms of awareness of 110 educational quality in Buddhist schools in the south of Vietnam.Thus, this study has selected suitable participants to sample the study. 5.2 Recommendations In order to improve the quality of education at Buddhist schools in southern Vietnam, solutions to overcome barriers are needed. Firstly, the biggest weakness of schools is that the teaching method is not flexible. Many schools lack qualified teachers, especially in the Mekong Delta provinces, so schools have to invite many teachers, leading to the failure to control the quality of teachers. Therefore, in order to improve the quality of training, school administrators need to recruit good teachers. With the characteristics of being a religious school and very high practice requirements, it is necessary to recruit monks and nuns who not only have good knowledge but also who have a lot of practical experience and successful cultivation. School administrators also need to reform teaching methods, taking practice as the foundation for imparting knowledge to learners. This is the first priority solution of the schools and it is also consistent with the research results in the model when the quality of teachers is the factor that has the strongest influence among the factors on the quality of education at the Buddhist schools. Secondly, it is necessary to change the training program because it creates great pressure on learners. To do this, school administrators need to review the training program, cut out unnecessary subjects, remove overlapping content between subjects and increase the amount of practice time. Increasing the amount of practice time is highly necessary and important for monks and nuns because the time for meditation, practical experience, and exchange of practice experiences is very necessary for their learning process.This is also 111 completely consistent with the results of the research model when this factor ranks second among the four factors affecting the quality of education at Buddhist schools in the Vietnam southern. Thirdly, Facilities and equipment for education such as classrooms, machinery and equipment, learning materials, boarding houses for monks and nuns, living spaces, kitchens, toilets, training areas meditation and seminars, etc., are lacking and do not meet the needs of learners. In general, Buddhist schools find their own funding sources from benefactors, charitable funds contributed by organizations and individuals. As a result, schools lack financial resources and facilities to support schools. To solve this problem, school management needs to increase calls for support from benefactors and voluntary organizations. On the other hand, the school management needs to build support funds from the contributions of the Buddhist association, and the Buddhist families and from activities to generate resources at schools such as canteens, vegetarian restaurants, and shops. , etc. Fourthly, the Support learners services in the school. Due to the fact that most of the monks and nuns are poor students, with special difficult circumstances, they need the support of the school, especially for living expenses, studying, and other personal needs such as means of transportation. study document. In addition to the very low support of the family, they desperately need the support of the school. Therefore, in order for them to study at school with peace of mind, the management of Buddhist schools needs to have the policy to support students, especially giving priority to supporting students with extremely difficult circumstances in order to help and sustain them. maintain this number of students. 112 In addition to financial support, students need advice on how to study and practice meditation. Due to the high requirements for meditation practice and body and mind repair, students need advice and guidance from teachers who have practical experience in meditation and practice. To meet this demand, the management board needs to invite experienced and successful professors, monks, and nuns to teach and guide students. The quality of education, especially quality in Buddhist schools has great influence on the development and prosperity as well as the safety of each country. The training quality improvement of Buddhism education will make contribution to developing the national culture, establishing the ethical lifestyle in the society and bringing in the safety for everyone. Despite a lot of efforts, limitations and deficiencies are unavoidable. The author hopes to receive contributed ideas from everyone. -1- References Aaronson, D., & Barrow, L., Sander, W (2007). Teachers and student achievement in the Chicago public high schools. Journal of Labor Economics, 25, 95–135. Abdulkareem, A. Y. (2011). Managing the performance of Nigerian Universities for sustainable Development using Data Envelopment analysis. International Journal of Academic Research in Business and Social Sciences, 1 (Special Issue), 1-9. Abdullah, A. M. (2011), ‘Factors affecting business students’ performance in Arab Open University: The case of Kuwait’, International Journal of Business and Management, 6(5), 146. Abullah, F. (2005), ‘HEdPERF versus SERVPERF: the quest for ideal measuring instrument of service quality in higher education sector’, Quality Assurance in Education, 13(4), 305-328. Abullah, F. (2006a), ‘Measuring service quality in higher education: three instruments compared’, International Journal of Research and Method in Education, 29(1), 7189. Abullah, F. (2006b), ‘The development of HedPERF: a new measuring instrument of service quality for the higher education’, International Journal of Comsumer Studies, 30*6, 569-581. Adelien Decramer, C.S. (2013). Employee performance management culture and system features in higher education: relationship with employee performance management satisfaction. The International Journal of Human Resource Management 24, 2, 352. Afzal, W., Akram A., Akram M.S. & Ijaz A. (2010). On students “perspective of quality in higher education. 3rd International Conference. Assessing Quality in Higher Education, 417-418, 422. Agus, A and Makhbul, Z.K. (2002), ‘An empirical study on academic achievement of business students in pursuing higher education: An emphasis on the influence of family backgrounds’, Paper presented at International Conference on the Challenges of Learning and Teaching in a Brave New World: Issues and Opportunities in Borderless Education. Hatyai Thailand. Akiri, A. A. & Ugborugbo, N. M. (2009). Teachers’effectiveness and students’ performance in public secondary schools in Delta State. Nigeria, Stud Home Comm Sci, 3(2):107-113. -2Akram, M. J. (2010). Factors Affecting the Performance of Teachers at Higher Secondary Level in Punjab. Doctoral Dissertation. Pir Mehr Ali Shah Arid Agriculture University Aldridge, S. & Rowley, J. (1998). Measuring customer satisfaction in higher education. Quality Assurance in Education, 6(4), 197-204. Al-Tarawneh, H.A., & Mubaslat, M.M. (2011). The Implementation of Total Quality Management (TQM) On the Higher Educational Sector in Jordan. International Journal of Industrial Marketing, 1(1). Available at: http://sinche.uom.gr/sites/default/files/771-5488-2-pb.pdf/. Retrieved February 12, 2021. Alzhrani, M.K, Alotibie, B.A, & Abdulaziz, A. (2016). Total Quality Management in Saudi Higher Education. International Journal of Computer Applications 135(4):612, February 2016. Published by Foundation of Computer Science (FCS), NY, USA. Arambewela, R. & Hall, J. (2009). An empirical model of international student satisfaction. Asia Pacific journal of marketing and logistics, 21(4), 555-569. Aripin, R., Mahmood, Z., Rohaizad, R., Yeop, U., & Anuar, M. (2008), ‘Students’ learning styles and academic performance’, 22nd Annual SAS Malaysia Forum, 15th July 2008, Kuala Lumpur Convention Center, Kuala Lumpur, Malaysia Aron, A., Coups, E. J., & Aron, E. N. (2013). Statistics Psychology (6th ed.). Upper Sadle River, NJ: Pearson Education, Inc Barrie, S. & Prosser, M. (2003). An aligned, evidence-based approaches to quality assurance for teaching and learning. Australia: AUQA Occasional. Baumert, J., Kunter, M. (2013), ‘The COACTIV Model of Teachers’ Professional Competence. In: Kunter M., Baumert J., Blum W., Klusmann U., Krauss S., Neubrand M. eds) Cognitive Activation in the Mathematics Classroom and Professional Competence of Teachers’, Mathematics Teacher Education, Vol 8. Springer, Boston, MA Baxter, P. & Jack, S. (2008). Qualitative case study methodology: Study design and implementation for novice researchers. The Qualitative Report, 13(4), 544–559. Becket, N., & Brookes, M. (2008). Quality Management Practice in Higher EducationWhat Quality Are We Actually Enhancing? Journal of Hospitality, Leisure, Sport and Tourism Education, 7(1), 40-54. https://doi.org/10.3794/johlste.71.174. BFFCT (n.d.). The Three Jewels and the Five Precepts. Available at: https://bffct.org/bff/the-three-jewels-and-the-five-precepts/. Retrieved Aprile 28, 2021. Bitner, M.J. & Zeithaml, V.A. (1996), “Services Marketing”, New York: McGraw-Hill. -3Bjorklund, A. and K. Salvanes (2011), “Education and Family Background: Mechanisms and Policies”, Handbook of the Economics of Education, Vol. 3 Bloch, S., (2006). Introduction to the Psychotherapies, 4th ed., New York: Oxford University Press. Bodhi, B. (2011). The Noble Eightfold Path: Way to the End of Suffering. Independent Publishers Group, Kindle Edition. BODHIPUNK (2012). The Five Spiritual Faculties and Five Powers. Available at: https://bodhipunx.wordpress.com/2012/03/23/the-five-spiritual-faculties-and-fivepowers/. Retrieved April 28. 2021. Bui Thi Nga, Đoan Thi Ngoc Thuy, Tran Thi Thanh Huyên (2015), ‘Working Capability of business management graduate students of Vietnam National University of Agriculture in Enterprises in Hanoi’, Social-Economic Issues. Chen, C.Y., Sok, P, and Sok, K. (2007), ‘Benchmarking potential factors leading to education quality: A study of Cambodian higher education’. Quality Assurance in Education, 15(2), pp. 28-48 Cozby, P.C. (2009) Methods in Behavioral Research. 10th Edition, McGraw Hill, New York Cronin, J. J., & Taylor, S. A. (1992), ‘Measuring Service Quality: A Reexamination and Extension’, Journal of Marketing, 56(3), 55-68. Cronin, J. J., & Taylor, S. A. (1994), ‘SERVPERF versus SERVQUAL: Reconciling Performance-Based and Perceptions-Minus-Expectations Measurement of Service Quality’, Journal of Marketing, 58(1), 125. Đàm Trí Cường (2015), ‘Các thành phần chất lượng giáo dục đại học’, Tạp chí khoa học công nghệ giao thông vận tải, Số 16. Dann, S., (2008), ‘Applying services marketing principles to postgraduate supervision’, Quality Assurance in Education, 16(4), 333-346. Đinh Thị Minh Tuyết (2010), ‘Đổi mới phương pháp dạy học – Giải pháp tích cực nâng cao chất lượng giáo dục đại học’, Tạp chí Giáo Dục, Số 252. Doan Van Dieu (2018), ‘The evaluation by graduate students on the classroom climate in the previous universities’, Ho Chi Minh City University of Education Journal of Science, Vol. 15, No. 1, 192-200. Đoàn Văn Dũng (2015), Quản lý nhà nước về chất lượng giáo dục Đại Học, Học Viện Hành Chính Quốc Gia. Dohrmann, M., Kaiser, G., & Blomeke, S. (2012), ‘The conceptualisation of mathematics competencies in the international teacher education study TEDSM. ZDM’, The International Journal on Mathematics Education, 44: 325-340. -4Donald R. Cooper, Pamela S. Schindler (2011), Business Research Methods, McGrawHill/Irwin, 2011 Gamage, D.T., Suwanabroma, J. (2008), ‘The impact of quality assurance measures on student services at the Japanese and Thai private universities’, Quality Assurance in Education, 16(2), 181-198. Garcl a-Aracil, A. (2009), ‘European graduates’ level of satisfaction with higher education’, Journal of Higher Education, Vol. 57 No. 1, pp. 1-21. Hà Nam Khánh Giao và Lê Thị Phượng Liên (2017), ‘Các yếu tố ảnh hưởng đến chất lượng đào tạo Tiếng Anh của trung tâm ngoại ngữ - tin học trường Đại học Ngân hàng TP. HCM’, Tạp chí Công thương, số 7, 182-189. Hà Nam Khánh Giao và Nguyễn Phạm Hạnh Phúc (2015), ‘Sự hài lòng sinh viên đối với chất lượng dịch vụ đào tạo của khoa Du lịch trường Đại học Tài chính - Marketing giai đoạn 2010-2013’, Tạp chí nghiên cứu Tài chính - Marketing, 28, 67-76. Hair JF Jr, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate analysis, 6th edn. Pearson Prentice Hall, Upper Saddle Rive data Hanssen, T.E.S. and Solvoll, G. (2015), ‘The importance of university facilities for student satisfaction at a Norwegian university’, Facilities, Vol. 33 Nos 3/4, pp. 744-759. Hoàng Thị Phương Thảo và Nguyễn Kim Thảo (2012), ‘Xây dựng hình ảnh trường đại học dựa trên chất lượng dịch vụ trường hợp Đại học Kinh tế TP Hồ Chí Minh’, Phát triển Kinh tế, số 260, tr.47-56. Husain Salilul Akareem and Syed Shahadat Hossain (2016), ‘Determinants of education quality: what makes students’perception different?’, Open Review of Educational Research, 3, No. 1, 52–67 I.M.S. Weerasinghe, R.L.S. Fernando (2018), ‘Critical factors affecting students’ satisfaction with higher education in Sri Lanka’. Quality Assurance in Education, Vol. 26 No. 1, pp. 115-130 Ingvarson, L., Beavis, A., & Kleinhenz, E. (2007), ‘Factors affecting the impact of teacher education programmes on teacher preparedness: Implications for accreditation policy’, European Journal of reacher Education, 30(4), 351-381. Ismail, S., & Kasim, N. (2011). Accounting for non-accounting students: What their performance?. Journal of Technical Education and Training, 3(2 affects Karna, S. and Julin, P. (2015), ‘A framework for measuring student and staff satisfaction with university campus facilities’, Quality Assurance in Education, Vol. 23 No. 1, pp. 47-61. Kokku Randheer (2015), ‘Service Quality Performance Scale in Higher Education: Culture as a New Dimension’, International Business Research, 8(3), 29-41. -5Kothari, C. R. (2003). Research methodology: Methods and techniques (2nd New Delhi: New Age International Limited, Publisher Ed.). Lại Xuân Thủy và Phạm Thị Minh Lý (2011), ‘Đánh giá chất lượng đào tạo tại Khoa Kế toán Tài chính, trường Đại học Kinh tế, Đại học Huế’, Tạp chí KH& CN Đại học Đà Nẵng, 44, 230-237. Lan Nguyen Thi Phuong (2019), Alignment of curricula, pedagogies, assessments, outcomes, and standards in Vietnamese English Language Teacher Education, PhD Thesis, The University of Newcastle, Australia. Lê Chi Lan (2018), ‘Đổi mới cách thức đào tạo phát huy năng lực người học tiếp cận yêu cầu người sử dụng lao động’, Tạp chí Khoa học Đại học Văn Lang, Số 08. Lê Ngọc Thắng (2017), ‘Kiểm định thang đo HedPERF trong bối cảnh dịch vụ giáo dục đại học Việt Nam: nghiên cứu thực nghiệm tại trường Đại học Ngân hàng Thành phố Hồ Chí Minh’, Tạp chí Công nghệ Ngân hàng, 130&131, 84-105. Lê Thanh Sơn và Trần Thị Tú Anh (2012), ‘Mức độ đáp ứng của sinh viên tốt nghiệp với nhu cầu xã hội về kiến thức và kĩ năng - Một tiêu chí đánh giá chất lượng đào tạo đại học’, Tạp chí Giáo dục, số 285, kì 1, tháng 5 năm 2012. Lê Thị Bạch Liên (2019), ‘Năng lực nghề nghiệp của giáo viên toán tương lai để dạy chủ đề đạo hàm ở trường trung học phổ thông’, Tạp chí Khoa học Đại học Huế: Khoa học Xã hội và Nhân văn, 128, 165-176. Lily Suhaily and Yasintha Soelasih (2015), ‘Factors affecting student achievement in faculty of economics "X" university’, Journal The WINNERS, 16(1), 25-35. Lingenfelter, W. V., Solheim, K., & Lawrence, A. (2017). Improving secondary education for orphans and vulnerable children in Malawi: One non-governmental organization's perspective. Child & Youth Services, 38(2), 142-158. Maria Tsinidou (2010), ‘Vassilis Gerogiannis and Panos Fitsilis. Evaluation of the factors that determine quality in higher education: an empirical study’, Quality Assurance in Education, 18, 227-244 Martirosyan, N. (2015), ‘An examination of factors contributing to student satisfaction in Armenian higher education’, International Journal of EducationalManagement, Vol. 29 No. 2, pp. 177 -191. Maruzzella Rossi (2017), ‘Factors Affecting Academic Performance of University Evening Students’, Journal of Education and Human Development, Vol. 6, No. 1, pp. 96102. Middlehurst, R. (1992), ‘Quality: an organising principle for higher education’, Higher Education Quarterly, 46, 20-38. Mohamed, A. A., Dahie, A. M., Warsame, A. A. (2018), ‘Factors Affecting Student Academic Performance: Case Studyfrom University of Somalia in Mogadishu- -6Somalia’, IOSR Journal of Humanities And Social Science (IOSR-JHSS), Volume 23, Issue 3, Ver. 9 (March. 2018) PP 73-80, ISSN: 2279-0837, p-ISSN: 2279-0845. Mohammad Manjur Alam, Md. Arif Billah, Mohammed Sarwar Alam (2014), ‘Factors Affecting Academic Performance of Undergraduate Students at International Islamic University Chittagong (IIUC), Bangladesh’, Journal of Education and Practice, ISSN 2222-1735 (Paper) ISSN 2222-288X (Online), Vol.5, No.39, 2014. Muda, S., Hussin, A. H., Johari, H., Sapari, J. M., & Jamil, N. (2013). The key contributing factors of non-accounting students’ failure in the introduction to financial accounting course. Procedia-Social and Behavioral Sciences, 90, 712-719 Nadiri, H., Kandampully, J., & Hussain, K. (2009), ‘Students’ perceptions of service quality in higher education’, Total Quality Management, 20(5), 523-535. Nguyễn Khắc Bình (2012), ‘Đội ngũ giảng viên – Một trong những nhân tố quyết định chất lượng giáo dục đại học’, Tạp chí Giáo Dục, Số 292. Nguyễn Minh Nhã và Nguyễn Thị Thanh Thủy (2018), ‘Các nhân tố ảnh hưởng đến chất lượng dịch vụ đào tạo chuyên ngành kế toán - nghiên cứu tại trường đại học Tiền Giang’, Tạp chí Khoa học Trường Đại học Cần Thơ, Tập 54, Số 6C (2018): 139147 Nguyễn Minh Tuấn (2015), Tác động của công tác quản lý tài chính đến chất lượng giáo dục đai học – Nghiên cứu điển hình tại các trường đại học thuộc Bộ Công Thương, Luận án Tiến sỹ trường đại học Kinh tế quốc dân. Nguyen Ngoc Anh, Nguyen Kieu Lan Thuong (2018), Giáo dục Việt Nam: thực trạng, cơ hội và thách thức, Tạp chí Giáo dục lý luận - số 279 (9/2018) (Education in Vietnam: status, opportunities and challenges, Journal of Theoretical Education, N0 279) Nguyễn Thi Anh Vân (2015), ‘Kiểm định thang đo chất lượng dịch vụ đại học tại TP. HCM’, Tạp chí Khoa học Giáo dục Kỹ thuật, 33, 81-87. Nguyễn Văn Tuấn (2008), Tiêu chuẩn chất lượng giáo dục đại học, Bộ Khoa Học và Công Nghệ - Giáo Dục, Số 4. Nisar Muhammad, Shahid Jan Kakakhel, Fayaz Ali Shah (2018), ‘Effect of Service Quality on Customers Satisfaction: An Application of HEdPERF Model’, Review of Economics and Development Studies, 4(2), 165-177. Noftle, E. E., & Robins, R. W. (2007), ‘Personality predictors of academic outcomes: Big fivecorrelates of GPA and SAT scores’, Journal of Personality and Social Psychology, 93(1), 116-130. Nurul Nadiah Ahmad and Nurul Nazlia Jamil (2021), Quality of Education Provision for Orphans and Vulnerable Adolescents in The Time of Covid-19 at Orphanages; International Journal of Academic Research in Business and Social Sciences, Vol.11, (8):605-611 -7Nyamukapa, C. A., Gregson, S., Wambe, M., Mushore, P., Lopman, B., Mupambireyi, Z., & Jukes, M. C. H. (2010). Causes and Consequences of Psychological Distress among Orphans in Eastern Zimbabwe. AIDS care, 22(8), 988-996. OECD (2010), PISA 2009 Results: Overcoming Social Background: Equity in Learning Opportunities and Outcomes (Volume II), OECD, Paris. OECD (2012), Equity and Quality in Education: Supporting Disadvantaged Students and Schools, OECD Publishing Okioga, C.K., (2013), ‘The impact of students' socio-economic background on academic performance in universities, a case of students in Kisii University College’, American International Journal of Social Science, Vol. 2 (2), 38-46. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985), ‘A Conceptual Model of Service Quality and Its Implications for Future Research’, Journal of Marketing, 49(4), 4150. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988), ‘SERVQUAL: A multiple item scale for measuring customer perceptions of service quality’, Journal of Retailing, 64, pp. 12 - 40. Phạm Văn Nam (2012), ‘Xây dựng chỉ số đánh giá mức độ đáp ứng với công việc của sinh viên tốt nghiệp đại học qua ý kiến người sử dụng lao động’, Kinh tế và Phát triển, Số 186. Nguyễn Thị Thanh và Lê Thị Hạnh (2017). Phạm Văn Quyết (2017), ‘Mức độ đáp ứng yêu cầu của việc làm ở sinh viên tốt nghiệp các ngành khoa học xã hội và nhân văn’, Tạp chí Khoa học Xã hội và Nhân văn, Tập số 3, 342-350. PSA (2017), Children In Especially Difficult Circumstances (CEDC) Or Children In Need Of Special Protection, retrieved from:https://psa.gov.ph/content/childrenespecially-difficult- circumstances-cedc-or-children-need-special-protection-1 Randheer, K (2015), ‘Service Quality performance scale in higher education: culture as a new dimension’, International Business Research, 8, 29-41. Roberts, K. L., & Sampson, P. M. (2011), ‘School board member professional development and effects on student achievement’, International Journal of Educational Management, 25(7), 701-713. Salauddin M. Amunuzzaman (2015), Evaluation of factors affecting quality education: A study on university of Dhaka, the Department of public administration, University of Dhaka. Salkind, N. (2015). Encyclopedia of Measurement and Statistics 1st Edition. SAGE Semukono, F., & Arinaitwe, A. (2013). Learning Environment, Students’ Attitude and Performance in Quantitative Course Units: A Focus on Business Students. Journal of Education and Vocational Research, 4(8), 238-245 -8Shafiq, M., Farooq, M. S., Chaudhry, A. H. & Berhanu, G; (2011), ‘Factors Affecting Students’ Quality of Academic Performance: A Case of Secondary School Level’, Journal of Quality and Technology Management, 7(2). Simons, B., & Koranteng, C. (2012). Residents’ perception of the built environment quality in an orphanage Singh S.P., Savita Malik and Priya Singh (2016), ‘Factors affecting academic performance of students’, Indian Journal of Research, Volume 5, Issue 4, 2550-1991. Slovin, M. J. (1960). Sampling. New York: Simonand Schuster Inc Sultan, P. và Wong, H.Y. (2010), ‘Service quality in higher education – a review and research agenda’, International Journal of Quality and Service Sciences, 2 (2), 259272. Sunshine B. Alos, Lawrence C. Caranto, Juan Jose T. David (2015), ‘Factors Affecting the Academic Performance of the Student Nurses of BSU’, International Journal of Nursing Science 2015, 5(2): 60-65. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (6th ed.). Boston, MA: Pearson. Trần Dương Quốc Hòa (2016), ‘Các yếu tố tác động đến việc sử dụng học liệu điện tử trong dạy học’, Tạp chí Thiết bị Giáo dục, Số 127. Trương Minh Hòa (2016), ‘Học liệu mở và vai trò của học liệu mở trong đào tạo ngành học thông tin – thư viện tại các trường đại học ở Việt Nam’, Thông tin và tư liệu. Trương Thị Hiền (2017), Quản lý tài chính tại các trường đại học công lập trực thuộc bộ giáo dục và đào tạo trên địa bàn thành phố Hồ Chí Minh trong điều kiện tự chủ, Luận án Tiến sĩ kinh tế trường Học Viện Tài Chính. UNESCO (2012). Summary report: second roundtable meeting to promote the guidelines for educators on countering intolerance and discrimination against muslims: globalization, diversity and social cohesion in educational settings, Council of Europe, 5 November 2012, Paris. UNESCO (2015), The Sustainable Development Goal 4, the 2030 Agenda for Sustainable Development, UNESCO, Paris. UNESCO (2017), Education for Sustainable Development Goals: learning objectives, UNESCO Education, Paris UNESCO. UNHCR (2006), Human Rights Watch World Report 2006 - Democratic Republic Congo, UNHCR published, 18 January 2006 of Victor Mlambo (2011), ‘An analysis of some factors affecting student academic performance in an introductory biochemistry course at the University of the West Indies’, Caribbean Teaching Scholar, Vol. 1, No. 2, 79-92. -9Võ Nguyên Phương và Nguyễn Thị Bích Vân (2018), ‘Đánh giá mức độ đáp ứng của sinh viên ngành tài chính, kế toán trường Đại học Văn Lang đối với yêu cầu của nhà tuyển dụng’, Tạp chí Kế toán và Kiểm toán, số 8, 44-48. Võ Văn Việt (2017), ‘Sử dụng mô hình HEdPERF đánh giá sự hài lòng của sinh viên đại học về chất lượng dịch vụ đào tạo’, Journal of Science of HNUE, 62, 11-23 Vrana, V.G., Dimitriadis, S.G. và Karravassilis, G.J. (2015), ‘Student perceptions of service quality at a Greek higher education institute’, International Journal of Decisions Sciences, Risk and Management, 6, 80-100. Weerasinghe, I. and Dedunu, H. (2017), ‘University staff, image and students’ satisfaction in selected state universities’, IOSR Journal of Business and Management (IOSRJBM), Vol. 19 No. 5, pp. 34-37. Wilkins, S. and Balakrishnan, M.S. (2013), ‘Assessing student satisfaction in transnational higher education’, International Journal of Educational Management, 27(2), pp. 146-153. William Michael Trochim (2007),The Research Methods Knowledge Base, Cornell University Williams, M., & Burden, R. L. (1997), Psychology for language teachers: a social constructivist view, New York: Cambridge. World bank (2022), Giáo dục để tăng trưởng (Education for growth), Report 7/2022. Yuekai, M. A. (2014). An Investigation into the Socio-Economic Challenges Faced By Children in Orphanages in Zimbabwe. A Case Study of Child Future Africa’s Children Home, Mt. Darwin. Thesis Dissertation Department of Social Work Bindura University of Science Education Yusof, J. (2021). Elements of work environment in the construct of special education teacher workload in Malaysia. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 5284-5288 Yusoff, M., McLeay, F. and Woodruff-Burton, H. (2015), ‘Dimensions driving business student satisfaction in higher education’, Quality Assurance in Education, Vol. 23 No. 1, pp. 86 -104. - 10 - Appendixes Appendix A. Questionnaire Dear Participants – Thưa quý vị, In order to contribute to improving the education quality of the Buddhist Schools in Vietnam, we hope that the monks and nuns take some time to fill out the survey to find out solutions to help the school be more excelent. At the same time, helping the writer of the Doctoral thesis with the topic: “Factors Affecting Perceived Education Quality of Buddhist schools in Southern Vietnam” to be completed and more accurate. Để góp phần nâng cao chất lượng giáo dục của các Trường TCPH Việt Nam, kính mong quý Tăng Ni sinh bớt chút thời gian điền phiếu khảo sát để tìm ra giải pháp giúp trường ngày càng phát triển vượt bậc. Đồng thời, giúp cho người viết Luận án Tiến sĩ đề tài: “Các nhân tố ảnh hưởng đến cảm nhận về chất lượng đào tạo của các Trường Phật học ở Miền Nam Việt Nam” được hoàn thiện và chính xác hơn. Your response will be completely anonymous and kept confidential. Only aggregate figures and general trends will be organized by researcher. Your participation is important for the successful of this research. Please answer all the questions as candidly and completely as possible. Phản hồi của quý vị sẽ hoàn toàn ẩn danh và được giữ bí mật. Chỉ các số liệu tổng hợp và xu hướng chung sẽ được người nghiên cứu tổ chức. Sự tham gia của quý vị rất quan trọng đối với thành công của nghiên cứu này. Vui lòng trả lời tất cả các câu hỏi một cách thẳng thắn và đầy đủ nhất có thể. - 11 - PART 1: FACTORS AFFECTING THE QUALITY OF EDUCATION CÁC NHÂN TỐ ẢNH HƯỞNG ĐẾN CHẤT LƯỢNG GIÁO DỤC Choice of answer: Circle the most appropriate answer as follows - Lựa chọn câu trả lời: Khoanh tròn vào câu trả lời thích hợp nhất như sau: 1. Totally Disagree - Hoàn toàn không đồng ý 2. Disagree - Không đồng ý 3. Hesitate - Do dự 4. Agree - Đồng ý 5. Completely Agree - Hoàn toàn đồng ý Your opinions Ý kiến của bạn I. CURRICULUM/TRAINING PROGRAM – CHƯƠNG TRÌNH ĐÀO TẠO (CTP) CTP1 The objectives of the training program are specific and 1 2 3 4 5 clear, helping learners understand the requirements to achieve after completing the course - Mục tiêu chương trình đào tạo cụ thể, rõ ràng, giúp người học hiểu rõ yêu cầu cần đạt sau khi hoàn thành khóa học CTP2 The program is designed to ensure flexibility, meeting 1 2 3 4 5 the diverse learning needs of learners - Chương trình được thiết kế bảo đảm tính linh hoạt, đáp ứng nhu cầu học tập đa dạng của người học CTP3 The program content (structure and duration) ensures to 1 2 3 4 5 equip learners with the necessary competencies (knowledge, skills) and qualities for the work of monks and nuns - Nội dung chương trình (kết cấu và thời lượng) bảo đảm trang bị đủ cho người học các năng lực (kiến thức, kỹ năng) và phẩm chất cần thiết cho công việc của tăng ni CTP4 The teaching, learning and extra-curricular activities in 1 2 3 4 5 the Program are designed to help learners practice essential skills for the work of monks and nuns - Các hoạt động giảng dạy, học tập và ngoại khóa trong Chương trình được thiết kế phù hợp giúp người học rèn luyện các kỹ năng thiết yếu cho công việc của tăng ni CTP5 Teaching and learning activities promote the 1 2 3 4 5 enhancement of learners' important life/religious skills Các hoạt động dạy và học thúc đẩy việc nâng cao các kỹ năng quan trọng trong cuộc sống/tu hành của người học. Code Statements - Phát biểu - 12 Your opinions Ý kiến của bạn CTP6 The forms of examination and assessment in the program 1 2 3 4 5 are used reasonably to accurately, objectively and fairly reflect the learning results of learners - Các hình thức kiểm tra, đánh giá trong chương trình được sử dụng hợp lý để phản ánh chính xác, khách quan, công bằng kết quả học tập của người học II. QUALITY OF TEACHING STAFF – CHẤT LƯỢNG ĐỘI NGŨ GIẢNG VIÊN (QTS) QTS1 Knowledgeable instructors to answer learners' questions 1 2 3 4 5 about the training program - Giảng viên có hiểu biết để giải đáp các thắc mắc của của người học về chương trình đào tạo QTS2 Teachers are always enthusiastic in teaching activities - 1 2 3 4 5 Giảng viên luôn nhiệt tình trong hoạt động giảng dạy QTS3 Instructors are ready to assist learners when needed - 1 2 3 4 5 Giảng viên sẵn sàng hỗ trợ người học khi cần thiết QTS4 Teachers are enthusiastic about solving students' 1 2 3 4 5 problems - Giảng viên nhiệt tình quan tâm đến việc giải quyết các vấn đề của người học QTS5 Teachers have a positive attitude towards students - 1 2 3 4 5 Giảng viên có thái độ tích cực đối với người học QTS6 The time the lecturer spends to advise the learners is 1 2 3 4 5 enough and convenient - Thời gian giảng viên dành để tư vấn cho người học là đủ và thuận tiện QTS7 Instructors have good communication skills - Giảng viên có kỹ năng truyền đạt tốt các kiến thức QTS8 Instructors with solid professional knowledge - Giảng viên có kiến thức chuyên môn vững vàng III. FACILITIES - CƠ SỞ VẬT CHẤT (FA) FA1 The system of classrooms has a sufficient number and 1 2 3 4 5 necessary equipment for teaching and learning - Hệ thống phòng học có đủ số lượng và trang thiết bị cần thiết cho việc dạy và học FA2 Classrooms ensure space, light, and sound requirements 1 2 3 4 5 for learning - Các lớp học đảm bảo yêu cầu về không gian, ánh sáng, âm thanh cho việc học tập FA3 The campus and natural environment are properly 1 2 3 4 5 planned, ensuring green - clean – beautiful - Khuôn viên, môi trường tự nhiên được quy hoạch hợp lý, bảo đảm xanh - sạch - đẹp FA4 The rooms for practice, experiment and forging have 1 2 3 4 5 sufficient numbers and modern equipment to meet the learning and research needs of learners - Các phòng thực hành, thí nghiệm, rèn nghề có đủ số lượng và trang thiết Code Statements - Phát biểu - 13 - Code Statements - Phát biểu Your opinions Ý kiến của bạn bị hiện đại, đáp ứng nhu cầu học tập và nghiên cứu của người học FA5 The school has a self-study area with all necessary and 1 2 3 4 5 convenient conditions for learners - Trường có khu tự học có đủ các điều kiện cần thiết và thuận tiện cho người học FA6 Dormitory with full equipment, convenient for students 1 2 3 4 5 to live and study - Khu ký túc xá với trang thiết bị đầy đủ, tiện lợi cho người học sinh hoạt và học tập FA7 The library ensures a rich and diverse source of materials 1 2 3 4 5 to meet the reference needs of learners - Thư viện đảm bảo nguồn tài liệu phong phú, đa dạng, đáp ứng nhu cầu tham khảo của người học FA8 Information technology infrastructure (computer, 1 2 3 4 5 internet, wifi, etc.) meets the needs of learners - Hạ tầng công nghệ thông tin (máy tính, mạng internet, wifi…) đáp ứng tốt nhu cầu của người học FA9 The school has a system of facilities and equipment to 1 2 3 4 5 ensure sufficient numbers and well serve the needs of sports, culture and other extracurricular activities of learners - Trường có hệ thống cơ sở vật chất, trang thiết bị đảm bảo đủ số lượng và phục vụ tốt nhu cầu thể thao, văn hóa và các hoạt động ngoại khóa khác của người học IV. SUPPORT LEARNERS SERVICES - CÁC DỊCH VỤ HỖ TRỢ NGƯỜI HỌC (SLS) SLS1 The school always understands the needs and cares about 1 2 3 4 5 solving problems of learners - Trường luôn thấu hiểu nhu cầu và quan tâm giải quyết khó khăn của người học SLS2 The difficulties and questions of learners are promptly 1 2 3 4 5 and effectively resolved by the school - Những khó khăn, thắc mắc của người học được Nhà trường giải quyết kịp thời và hiệu quả SLS3 School staff are always available to receive support 1 2 3 4 5 requests from students - Nhân viên nhà trường luôn sẵn sàng để nhận các yêu cầu hỗ trợ từ người học SLS4 Learners can easily contact the units/departments in the 1 2 3 4 5 school - Người học có thể dễ dàng liên hệ với các đơn vị/bộ phận trong trường SLS5 School staff always fulfill their commitments in dealing 1 2 3 4 5 with students - Nhân viên của nhà trường luôn thực hiện đúng những cam kết trong giải quyết công việc với người học - 14 Your opinions Ý kiến của bạn SLS6 Units/departments in the school arrange convenient 1 2 3 4 5 working time for learners - Các đơn vị/bộ phận trong trường sắp xếp thời gian làm việc thuận tiện đối với người học SLS7 School staff show a positive attitude at work to students 1 2 3 4 5 - Nhân viên của trường thể hiện thái độ tích cực trong công việc với người học SLS8 School staff have expertise in their field to support 1 2 3 4 5 learners - Nhân viên của trường nắm vững chuyên môn trong lĩnh vực của họ để hỗ trợ tốt cho người học SLS9 School staff communicate well with learners - Nhân viên 1 2 3 4 5 của trường giao tiếp tốt với người học SLS10 Learners feel secure when interacting with the school's 1 2 3 4 5 functional units/divisions - Người học cảm thấy an tâm khi tiếp xúc với các đơn vị/bộ phân chức năng của trường SLS11 The school provides support activities to learners on time 1 2 3 4 5 - Nhà trường cung cấp các hoạt động hỗ trợ tới người học đúng hạn VII. PERCEIVED QUALITY OF EDUCATION - CẢM NHẬN VỀ CHẤT LƯỢNG ĐÀO TẠO (QE) QE1 Graduated monks and nuns master the general and 1 2 3 4 5 interdisciplinary knowledge of the training program Tăng ni sinh tốt nghiệp nắm vững khối kiến thức đại cương và liên ngành của chương trình đào tạo. QE2 Graduated monks and nuns master basic Buddhist 1 2 3 4 5 knowledge from history, philosophy, tradition and Buddhist scriptures - Tăng ni sinh tốt nghiệp nắm vững khối kiến thức Phật học căn bản từ lịch sử, triết học, truyền thống và kinh điển Phật giáo. QE3 Graduated monks and nuns master basic and in-depth 1 2 3 4 5 knowledge of Buddhist majors such as Pali, Sanskrit, Buddhist Philosophy, Buddhist History, Vietnamese Buddhism, Chinese Literature, and Dharma Studies Tăng ni sinh tốt nghiệp nắm vững kiến thức nền tảng và chuyên sâu về các chuyên ngành Phật học như Pali, Sanskrit, Triết học Phật giáo, Lịch sử Phật giáo, Phật giáo Việt Nam, Trung văn và Hoằng pháp học… QE4 Graduated monks and nuns have basic knowledge of 1 2 3 4 5 Buddhist scriptures such as Pali, Sanskrit, Tibetan, or ancient Chinese... - Tăng ni sinh tốt nghiệp nắm căn bản khối kiến thức thánh ngữ Phật giáo như Pali, Sanskrit, Tây Tạng, hoặc Hán cổ… Code Statements - Phát biểu - 15 - Code QE5 QE6 QE7 Your opinions Ý kiến của bạn The quality of the school's training meets the 1 2 3 4 5 expectations of learners - Chất lượng đào tạo của trường đáp ứng được kỳ vọng của người học The quality of the school's training meets the 1 2 3 4 5 expectations of the Vietnam Buddhist Sangha - Chất lượng đào tạo của trường đáp ứng được kỳ vọng của Giáo hội Phật giáo Việt nam The quality of the school's training keeps up with the 1 2 3 4 5 world's Buddhist training trends - Chất lượng đào tạo của trường theo kịp xu hướng đào tạo của Phật giáo thế giới Statements - Phát biểu PART 2: DEMOGRAPHIC INFORMATION THÔNG TIN NHÂN KHẨU HỌC All the responses will be kept confidential. Your cooperation in providing the demographic information will be greatly appreciated - Tất cả các câu trả lời sẽ được giữ bí mật. Sự hợp tác của quý vị trong việc cung cấp thông tin nhân khẩu học sẽ được đánh giá rất cao. 1. What is your gender - Giới tính của quý vị: Male - Nam Female - Nữ 2. What is your age? – Độ tuổi của quý vị? Under 21 years - Dưới 21 tuổi 21 to 30 years - 21 đến 30 tuổi 31 to 40 years - 31 đến 40 tuổi Age 41 or older - 41 tuổi trở lên 3. What is the level of your current degree program? – Quý vị đang theo học chương trình nào? Primary/Short term - Sơ cấp/Ngắn hạn Associate - Trung cấp College - Cao đẳng 4. Number of years after ordained - Số năm xuất gia: - 16 <5 year - dưới 5 năm 5-10 years - 5-10 năm 10-15 years - 10-15 năm >15 years - trên 15 năm 5. What is your race? Please check one. Viet (Kinh) Hoa (Chinese Vietnamese) Khmer Other Thank you very much for your cooperation – Cám ơn sự hợp tác của quý vị.