See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/360462757 FACTORS AFFECTING STUDENTS’ ACADEMIC PERFORMANCE IN RESEARCH: THE SENIOR HIGH SCHOOL PERSPECTIVE Research · June 2015 DOI: 10.13140/RG.2.2.13587.35365 CITATIONS READS 0 10,198 1 author: Amylyn Fano Labasano Department of Education 9 PUBLICATIONS 2 CITATIONS SEE PROFILE All content following this page was uploaded by Amylyn Fano Labasano on 09 May 2022. The user has requested enhancement of the downloaded file. FACTORS AFFECTING STUDENTS’ ACADEMIC PERFORMANCE IN RESEARCH: THE SENIOR HIGH SCHOOL PERSPECTIVE AMYLYN F. LABASANO, PhD Email: amylyn.labasano@deped.gov.ph ABSTRACT A significant number of empirical studies are carried out to determine the factors affecting students’ academic performance. This study focused on the students’ academic performance in research subject as affected by students’ sex, class attendance, hours of study, and attendance during the review classes. The data were collected from the teacher-researcher’s record and from a short survey conducted. The result revealed that sex, hours of study, and review attendance were significant predictors of students’ academic performance. Keywords: Academic performance, Quarterly exam, Sex, Class attendance, Hours of study, Review attendance INTRODUCTION In school, the greatest concern that teachers are facing is the academic performance of the students. Measuring academic performance of students is challenging since student’s performance is a product of socio-economic, psychological and environmental factors (Hijazi & Naqvi, 2006). Students’ performance is affected by different factors such as learning abilities because new paradigm about learning assumes that all students can and should learn at higher levels but it should not be considered as constraint because there are other factors like race, gender, sex that can affect students’ performance (Hansen 2000 cited in Hijazi & Naqvi, 2006). In this study, the academic performance of the Senior High School (SHS) students under Humanities and Social Sciences (HUMSS strand in their first quarter examination was the focus of the investigation. One of the many theories that can explain the relationship of academic performance and the factors affecting it is the Theory of Motivation and Performance in Education. It explains that motivation leads to success, and, 1 consequently, to higher educational performances. Motivation in terms of academic performance refers to cognitive, emotional and behavioural indicators involved in learning and education (Tucker, Zayco & Herman, 2002). Correspondingly, in the study of Walberg, et. Al (2006), they had identified key variables that affect students outcomes: student ability/prior achievement, motivation, age, developmental level, quantity of instruction, quality of instruction, classroom climate, home environment, peer group, and exposure to mass media outside of school. Adejumo (2013) revealed that age and gender are not significant predictors of academic performance. In addition, the study of Balatbat & Dahilig (2016) in tertiary institution in Manila, Philippines, revealed that while the students utilized strategic studying techniques and some degree of academic competence, test anxiety and test competence hampered their efforts towards academic success. Remedial measures, faculty interventions, academic advising and counselling mechanisms need to be in place to help the students cope with the demands of education. Further, the study of Simbulas (2014) among private non-sectarian high school in Davao City, disclosed that self-efficacy measured of motivational strategies, cognitive strategies, resource management, and self-regulated learning was not significantly related to students’ academic performance The purpose of this study is to determine the factors that would affect students’ academic performance. This is because one of the biggest contributors in the computation of students’ academic performance in a particular subject is the result of his/her examination. It cannot also be denied that most courses today have board exam before a student can practice his/her profession. Thus, an examination is really part and parcel of the students’ lives. This study aimed to identify the factors which affect students’ academic performance in terms of students’ characteristic such as sex, class attendance, average of hours of study and attendance during the review class. 2 The academic performance measured in this study was based on students’ score during the first quarter examination in quantitative research subject of the SHS students of HUMSS strand. Sex refers to the biological category of student as male or female. Class attendance pertains to the number of days that the student is present within the first quarter. Hours of study relates to the average hours of study that the student spent in studying before he/she takes the quarterly exam. Attendance during the review class refers to whether the student attended or did not attend the review class. METHOD Research Design The researcher used correlational research design to determine the relationship between academic performance and its predictors. In this study, the students’ academic performance in terms of the result of the first quarter exam in research subject was predicted to be affected by the students’ sex, class attendance, hours of study and attendance in the review class. Respondents and Sampling Technique The respondents of the study were sixty-seven (67) Grade 12 HUMSS students who were students of the researcher in quantitative research subject. There were 23 males and 44 females who represented the population of 80 students. The sample size was drawn using the Slovin’s formula. The researcher used combination of purposive sampling technique and simple random sampling. It employed purposive sampling since the respondents were all students of the researcher. Simple random sampling was also used because the names of the students were drawn using lottery technique. Research Data The data used was the teacher-researcher’s record of the students’ first exam result, class attendance and students’ attendance during the review class. A very short survey was given to the respondents, asking them of their average 3 hours of study and their attendance in the review class before taking the quarterly exam. Statistical Tool In this study, multiple regression analysis was utilized to predict the relationship between students’ performance in the examination and the factors affecting it such as students’ sex, class attendance, hours of study and attendance in the review class. Multiple regression was used since the study employed one dependent variable (students’ performance in the examination) with four independent variables (sex, class attendance, hours of study and attendance in the review class). RESULTS AND DISCUSSION Table 1 presented the result of the multiple regression analysis performed in this study. It showed the standardized beta coefficient of the variables and the t-value including its significance value. The estimated model is: Academic Performance = -2.30 - .81 Sex + .70 Class Attendance+ 1.41 Hours of Study + 3.63 Review Attendance Table 1. Regression Analysis Predicting Students’ Academic Performance Sex Class Attendance Hours of Study Review Attendance Constant Standardized Beta -.81 .70 1.41 3.63 -2.30 t 4.05 1.85 13.45 50.04 16.63 Sig. .04 .17 .00 .00 .00 Predictors: Sex, Class Attendance, Hours of Study, Review Attendance Dependent variable: Performance in the Examination R = .774; R-square = .600; Adjusted R-square = .590; F = 64.126; p = .000 The result in Table 1 revealed that among the four factors predicted to have a significant effect to students’ academic performance, only sex, hours of study, and attendance in the review came out to be the significant predictors of 4 students’ academic performance. The result suggested that in terms of sex, female students had higher scores in the examination compare to male students, as indicated in the negative beta coefficient of the findings (-.81) in which females are coded 0 and males are coded 1, with sig-value of .04 which is less than the .05. Similarly, the findings also showed that the hours of study had significant positive effect (B = 1.41) to the students’ academic performance in the examination, with sig-value of .00. This means that students who spent long hours in studying tended to have higher scores compared to students who spent less hours in studying This resulted was supported by the study of Ukpong & George (2012). Moreover, the result also showed that the attendance of the students in the review class also yielded a positive effect (B = 3.63) to students’ academic performance (sig-value = .00). This means that students who had attended the review class tended to have higher scores in the examination compared to students who did not attend the review class. This conformed to the article published by Bord (2008) on enhancing learning and exam preparation which emphasized the importance of review classes in the exam preparation. Nevertheless, although class attendance measured in terms of the number of times the student was present in the class turned out to be an insignificant predictor of students’ academic performance, it should be noted that it had positive beta coefficient of .70 with sig-value = .17. This means that students who were always present in the class got higher exam scores. This supported the study of Haque (2012) which revealed that class attendance and grade performance were positively correlated. The computed R-square indicated that 60 % of the variations in the students’ academic performance in the examination can be accounted to the set of predictor variables, the rest (40%) were due to other factors not included in the study. The computed over-all probability value (p = .000) showed that the set 5 of variables in the study significantly predict the students’ performance in the examination since p < 0.05. CONCLUSION Based on the findings of the study, the following conclusions are drawn. 1) Sex was found to be a significant predictor of academic performance of the students. The scores in the examination of the female students were higher compare to the male students. 2) The time spent of students in studying was positively correlated to his/her academic performance. In short, the longer the time the students spend in studying, the higher is her/his score in the examination. 3) The attendance of the students in review class which was conducted before the exam tended to have positive significant effect to the students’ academic performance in the examination. This implies that the conduct of review classes is still significant factor in improving students’ performance in the examination. RECOMMENDATION Based on conclusions drawn, the following recommendations are suggested. 1) The teacher needs to design a pedagogy that would help the students to improve their examination performance, particularly giving extra focus to the male students. 2) The teacher could design a matrix on how to monitor students study time to help them keep on track, and also develop an evaluation tool to be able to follow up the students’ progress. 3) The teacher has to establish the practice of conducting review class before the examination as part of the exam preparation. 6 References . Adejumo, A. O. (2013). Application of Ordinal Logistic Regression in the Study of Students’ Performance. Retrieved from www.iiste.org/Journals/index.php/MTM/article/view/7679/8106 Balatbat, M. S. & Dahilig, V. A. (2016). Students’ Perceptions on Factors Affecting Academic Performance in a Tertiary Institution in Manila Philippines. Retrieved from http://www.aaspjournal.org/pdf_fullpaper/vol05no01_377-382.pdf on Sept. 19, 2016. Bord, D. (2008). Enhancing Learning and Exam Preparation. Retrieved from https://www.psychologicalscience.org/observer/enhancing-learningand-exam-preparation. Retrieved on September 20, 2017. Haque, M. E. (2012). Effect of Class Absenteeism on Grade Performance: A Probabilistic Neural Net (PNN)-Based GA-Trained Model. Retrieved from file:///C:/Users/user/Downloads/ASEE2012_ID3179%20(1).pdf . Retrieved on September 20, 2017. Hidayat, C, Vansal, S., Kim, E., Sullivan, M., Salbu, R. (2012). Pharmacy Student Absenteeism and Academic Performance. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298406/ Hijazi, Syed Tahir & Naqvi2 , Raza S.M.M. (2006). Factors Affecting Student Performance. Retrieved from http://www.csus.edu/faculty/m/fred.molitor/docs/student%20performan ce.pdf Hung, Y. & Liou, P. (2007). Examining the Relationship Between Student Academic Achievement and Self-concept in the I/E, BFLPE, and Combined Models – Evidence from East Asian Countries Data in TIMSS 2007. Retrieved from http://www. Jikayinfa, A. A. (2005). Effects of Instructional Resources on the Academic Performance of Students in History in Nigeria Retrieved from: http://www.academia.edu/4092649/EFFECTS_OF_INSTRUCTIONAL _RESOURCES_ON_THE_ACADEMIC_PERFORMANCE_OF_STUD ENTS_IN_HISTORY_IN_NIGERIA Mushtaq, I. & Khan, S. (2012). Factors Affecting Students’ Academic Performance. Retrieved from http://dl.icdst.org/pdfs/files/3deebc68c9747ac3dbc60045c5ad9993.pdf 7 Simbulas, L. C. (2014). Self-Efficacy and Academic Performance in Algebra Among First-Year Private Non-Sectarian High School Students. University of Immaculate Conception, Davao City, Philippines. Retrieved from http://philair.ph/publication/index.php/jpair/article/view/281 on September 20, 2017 Ukpong, D.E. & George, I.N. (2013). Length of Study-Time Behaviour and Academic Achievement of Social Studies Education Students in the University of Uyo. Retrieved from: http://www.ccsenet.org/journal/index.php/ies/article/view/24871 8 View publication stats