WHY DO STUDENTS FAIL AT ALGEBRA? Elizabeth Islip B.A., California State University, Sacramento, 1987 THESIS Submitted in partial satisfaction of the requirements for the degree of MASTER OF ARTS in EDUCATION (Curriculum and Instruction) at CALIFORNIA STATE UNIVERSITY, SACRAMENTO FALL 2009 WHY DO STUDENTS FAIL AT ALGEBRA? A Thesis by Elizabeth Islip Approved by: , Committee Chair Dr. Sherrie Carinci , Second Reader Dr. Elisa Michals Date ii Student: Elizabeth Islip I certify that this student has met the requirements for format contained in the University format manual, and that this project is suitable for shelving in the Library and credit is to be awarded for the thesis. , Department Chair Dr. Robert Pritchard Department of Teacher Education iii __________________ Date Abstract of WHY DO STUDENTS FAIL AT ALGEBRA? by Elizabeth Islip Statement of Problem Increasing the mathematical knowledge of students is a goal of the National Council on Education. Business leaders are calling on public education to produce students with a deeper, stronger background in mathematics and science. Nationwide, Algebra 1 is an eighth grade subject, yet 50% of the students enrolling in a public independent study high school had not completed the algebra requirement. Research has shown teaching and learning strategies, teacher behavior, and student motivation play an important part in education, yet little research was found in the literature regarding teaching and learning strategies for mathematics. Understanding student perception of the educational endeavor to learn algebra may help researchers and teachers understand how to better facilitate learning. Sources of Data Data was collected and pooled from cumulative school histories, student interviews, observation of students learning during algebra class, and surveys iv completed by the students. Data and insight was provided regarding the students’ perceptions, histories, and personal needs for learning mathematics. Conclusions Reached The level of intelligence was not the cause of the students’ deficiency in earning algebra credits. Social skills, attendance, attention span, personal attention needs, and family divorce prohibited them from succeeding to their intellectual best. These students had unique, complicated issues. It would take a special teacher with exceptional counseling skills, prolific background information, and abundant time for researching and planning to tackle and help solve these students’ issues with school. They were at a high risk for dropping out of high school. If intervention strategies had been identified early, and systemic support followed through over multiple school years, these students may not have been at risk at all. The cumulative folders, a communication tool already in place in public schools, could be used as a vehicle for transmitting teacher knowledge of the individual student’s optimum learning environment, including counseling recommendations and follow up. Accountability for every student’s educational success is the heart of No Child Left Behind, and an individualized education plan for each at risk student may be ideal. , Committee Chair Dr. Sherrie Carinci Date v ACKNOWLEDGEMENTS My sincere appreciation goes to the students studied in this thesis. They were the primary source of my learning. My three daughters provided me with the motivation and encouragement for this endeavor. Patrick, my husband, gave his enduring love and support for which I am grateful. Dr. Sherrie Carinci supplied positive advice and steady deadlines, allowing me to learn every step of the way. Thank you all. vi TABLE OF CONTENTS Page Acknowledgments ....................................................................................................... vi List of Tables ............................................................................................................... ix Chapter 1. INTRODUCTION .................................................................................................. 1 Purpose of the Study ......................................................................................... 2 Statement of the Problem ................................................................................. 3 Significance of the Study.................................................................................. 4 Methodology..................................................................................................... 5 Limitations ........................................................................................................ 6 Theoretical Basis of the Study.......................................................................... 6 Definition of Terms .......................................................................................... 8 Organization of the Thesis................................................................................ 9 Background of the Researcher........................................................................ 10 2. REVIEW OF LITERATURE ............................................................................... 11 Introduction .................................................................................................... 11 Student Motivation ......................................................................................... 13 Teacher Behavior............................................................................................ 23 Learning Strategies ......................................................................................... 29 Summary of Literature Review ...................................................................... 33 vii 3. METHODOLOGY ............................................................................................... 36 Introduction .................................................................................................... 36 Research Questions ........................................................................................ 37 Research Design and Data Collection ............................................................ 37 Participants ..................................................................................................... 39 Setting ............................................................................................................. 41 Procedure ........................................................................................................ 43 Summary......................................................................................................... 45 4. RESULTS AND ANALYSIS OF THE DATA ................................................... 47 Introduction .................................................................................................... 47 Results and Analysis of the Data .................................................................... 48 Summary......................................................................................................... 59 5. DISCUSSION, LIMITATIONS, RECOMMENDATIONS, AND CONCLUSIONS ............................................................................................ 61 Discussion....................................................................................................... 61 Limitations ...................................................................................................... 67 Recommendations .......................................................................................... 68 Conclusions .................................................................................................... 71 Appendix A. Consent to Participate in Research ..................................................... 73 Appendix B. Student Journal Questions ................................................................... 75 References .................................................................................................................. 78 viii LIST OF TABLES Page 1. Percentage of Students Enrolled in Algebra by Grade Level ........................... 4 2. Student Information ........................................................................................ 40 3. Student Perception of Previous Algebra Class ............................................... 50 4. Notes from Observation 2008/2009 ............................................................... 52 5. Results of Interviews, Quoted from Students ................................................. 55 6. Analysis of Cumulative School History ......................................................... 58 ix 1 Chapter 1 INTRODUCTION Jay checked out of the educational arena in the fifth grade. He was 11 years old. In his subsequent seven years of public education, no teacher was able to engage or motivate Jay. He scored proficient on state common assessments in math and English, yet failed seventh grade. That was the last year he put effort into the state common assessments. He left the traditional high school for an alternative education, independent study program, after school officials in his 11th year noticed aberrant deficiency in credit accumulations required for graduation. Jay had not sufficiently learned algebra, yet had received three years of instruction in the subject. Alternative education is an educational option some students choose after emotional, social, behavioral, or academic disillusionment at the traditional school setting. Many of the students enrolling at this rural, public, independent study high school in northern California register without previously obtaining the required algebra credit. Mathematical achievement holds back many students from graduating. “No Child Left Behind,” (NCLB) a federal act of 2001, calls for all students to increase their academic achievement on performance assessments each year. This has led to a scramble by teachers, schools, and school districts for the most effective and efficient instructional practices (Robelen, 2009). Three areas important to student success, as indicated in the literature, are student motivation, student perception of teacher behavior, and student use of learning strategies. 2 There is little evidence of effective teaching strategies for low achieving mathematics students. Research is heavy in the reading interventions, but only one study was identified from an exhaustive search by Vannest, Temple-Harvey, and Mason (2008) for students with disabilities in mathematics intervention. Meanwhile, most of the intervention is directed at providing students with additional classroom time. Pointedly, in mathematics, knowledge varies considerably from student to student causing student frustration and boredom when intervention instruction is delivered in a one size fits all manner (Balfanz, Legters, & Jordan, 2004). Purpose of the Study The purpose of this study was to examine the factors in students’ educational and social experience that disabled them from completion of algebra credits in prior attempts. Research has reported the motivation, perception of teacher behavior, and learning strategies students held while enrolled in algebra classes facilitated success or failure of algebra class (Bandura & Locke, 2003; Hopkins, 2005; Pajares, 2002; Pintrich & deGroot, 1990; Weinstein, Ridley, Dahl, & Weber, 1989). This study’s purpose was to explore the variances behind students’ life and classroom experiences and review patterns in these three areas which could be identified as disruptive to the individual learning process. This study solicits students’ retrospective perceptions of the conditions surrounding their prior algebra classes to ascertain the elements that contributed to the student not acquiring the knowledge or being able to demonstrate knowledge of 3 algebra on performance tests. In doing so, the students and teacher gained awareness about themselves, their strengths, and where to look for support. Specific questions included: Did students know what circumstances made it easier for them to learn? What effect did teaching style, positive climate, collaborative learning, peer pressure, and parental support have on student ability to learn? What distracted the student from his/her ability to learn algebra concepts? What challenges have students encountered as they attempted to complete algebra? What strategies have students used to learn algebra? Statement of the Problem The public school system’s fundamental purpose is to facilitate student learning. Imagine if Starbucks defined their purpose as delivering good coffee, and yet only 66% of their coffee was received as “good” by the consumer. The United States has a drop out rate purported to be 33%. Many disenfranchised students opt for alternative education in their quest for a high school diploma, yet algebra class remains a stumbling block for many. To be successful students must be motivated to learn, have knowledge of learning strategies and be encouraged and supported in their educational endeavor. Little research has been done to ease the acquisition of mathematical skills for low performing students (Ketterlin-Geller, Chard, & Fien, 2008). Startling statistics show an urgent need to examine the factors related to repeated failure in algebra. Data from the National Center for Education Statistics (NAEP, 2001), states 35% of 12th graders still score below basic in mathematics. This level has not changed significantly 4 since 1992. This northern California County has a 35% failure rate for freshmen algebra students. Reauthorization of the Elementary and Secondary Education Act of 1965, NCLB (2001), calls for all students to be proficient in mathematics in 2014. States are declaring there is not enough funding to educate all students and the courts are agreeing that present funding is inadequate (Hoff, 2003) Prevention of mathematical aversion and planning for intervention requires the early identification and early response to individual student needs. In this independent study school, students have significant needs in algebra. The table below compares all students in the county with students in this independent study high school. Table 1 Percentage of Students Enrolled in Algebra by Grade Level Grade level Placer County 2008 8th Freshmen Sophomores Juniors Seniors 60% 42% 20% 11% Not collected Independent Study High School 2009 (high school, grades 9-12) 96% 95% 45% 25% Significance of the Study Algebra is a gateway class to higher mathematical attainment. Students furthering their mathematical achievement past algebra have a greater likelihood of seeking careers in mathematics, thus entering the workforce in higher paying 5 professions (Kortering, deBettencourt, & Braziel, 2005, Ruffins, 2007). Careers in mathematics and science are important to the United States as scientific and technological changes rapidly occur. This study asks students to analyze their previous failure in algebra classes. Including students in the inquisition process gives value to their feelings and increases motivation. Students rarely have opportunities to speak up and advocate for themselves. Students as partners in their education can be an effective tool in the endeavor to achieve more complicated mathematical knowledge (Myslinski, 2008). Student input and autonomy may be a link to success at learning. The results of this study will add to the body of research on issues relating to prevention of math aversion and intervention activities. Methodology This study examined the comments, records and behavior of 12th grade students deficient in algebra credits and enrolled in an independent study high school. Qualitative case study applications (Bogdan & Biklen, 1998; Merriam, 2001; Spradley, 1980) were used to examine the students’ educational endeavors in algebra. In their final year of high school, students were enrolled in an algebra class that aimed to address the individual learning needs of each student. Confidence building, peer tutoring, social skills, learning strategies, formative assessments, open discussion, peer support, and team and family values were part of the daily lessons in an attempt to assist students in identifying problem areas and reaching academic goals. The analysis tools used to identify students’ reasons for failing to meet educational goals came from 6 information in the literature review regarding internal and external motivation, the impact of positive and negative teacher behavior, and the strength of learning strategies. Teacher experience and educational background contributed to the analysis of student comments and behavior. Limitations There are several limitations to this study. One limitation is the number of students who participated in the research. Eight 12th graders were included in this study. They retrospectively looked at their prior algebra classes, but memory is not always clear. Another limitation of the study is the fact that these students are still adolescents. They may not be able to discern what was happening in their life two or three years ago. Accessing prior experiences with an objective eye may be difficult. In addition, a new textbook was used by the eight students and teacher during small group instruction at an independent study high school. Lastly, this study lacked a multicultural perspective since the students were from a semi rural community, with little ethnic diversity. Six of the students were White and two were half Hispanic and half White. All students were between 17 and 18 years old. They did not represent a cross section of California. Theoretical Basis of the Study The perception of the student as to whether the school, or teacher, or classroom peers care about each other is foundational for learning (Noddings, 2005). Nel Noddings expresses that educators pursue goals for their students yet may not take the relationship aspect of caring into consideration. Teachers may view themselves as 7 caring for students but unless the individual student feels cared for, the relationship is not present. The number of students in classrooms, the mountain of standards that must be covered by teachers, the inability of students to follow their own curiosities and interests, deter the ability for caring relationships to flourish. If students are listened to and valued, they are more likely to positively accept the standards brought before them as educational goals (Noddings). Trusting that students can reflect on their own needs and strengths and developing confidence in students to advocate for assistance is a step in caring for students as individuals. Individual education plans for students in Special Education describe student, as well as parent and teacher, goals. Special Education students also are encouraged to advocate for their own individual needs. Yet, outside of Special Education, this is not the case. Students are given little opportunity in high school to express individual needs. William Glasser, (1997) describes four needs inherent to every person: the need to belong, the need for power, the need for freedom, and the need for fun. Fulfilling any of these four driving forces at school makes school desirable. Belonging, power, freedom, and fun can be obtained through peer relationships, autonomy in the classroom, choosing learning strategies, and involvement. Relationships with teachers, trust in teachers as well as with the self, are at the core of student success (Glasser). 8 Definition of Terms Algebra - the science which teaches how to determine unknown quantities by means of those that are known (Katz, 2007). Engagement - students’ use of metacognitive and self-regulatory strategies (Turner et al, 1998). Formative assessment - formative assessments gives insight on how well the student is learning the incremental steps and procedures. It provides the educator knowledge of whether to continue with new material, or reteach (Ketterlin-Geller, et al, 2008). Intervention classes - direct involvement of a student in curriculum for a specific purpose, such as passage of the California Exit Exam or passage of Algebra 1. In this independent study high school, it means more intense teacher participation. Involvement - complex interaction of student cognition, motivation, and affect. Focused concentration and comprehension (Turner et al, 1998) Learning strategies - are behaviors or thoughts that facilitate learning (Weinstein et al., 1989). Self efficacy - student’s judgments of their capacity to accomplish a task or succeed in an activity (Pajares, 2002). Self-regulation - proactive efforts to learn, self motivational processes (goal setting, self-efficacy perceptions, attributions, self-consequences) and metacognitive learning processes (planning, monitoring, adapting) (Pintrich & deGroot, 1990; Zimmerman, 1996). Forethought, performance, and self reflection of student learning. 9 Organization of the Thesis This thesis follows the guidelines in the Graduate Student Handbook prepared by the College of Education, Teacher Education Program and contains five chapters. Chapter 1 gives the layout of the thesis including the statement of the problem and the significance of the study. Chapter 2 is an examination of current knowledge gained in the field of motivation, teacher behavior, and learning strategies. Motivation is broken into its sub-components of perception and self efficacy, intrinsic motivation, and learning and performance goal orientation. Teacher behavior is examined regarding a positive climate and student involvement. Scaffolding of instruction is also covered as well as the importance of autonomy and development of student self regulation. The last portion of the literature review is an abridgment of information regarding learning strategies; cognitive, self regulation, and use of resources. Chapter 3 discusses the methodology used for this study. Information regarding the participants’ background and the school, as well as the research questions and the surveys used are included. A qualitative study, this research drew upon interviews, observations, and student’s school history. Chapter 4 is a discussion of the qualitative findings in the surveys and data collected. This chapter sought patterns in the stories of the students, and looked for areas of overlap or themes. Chapter 5 is an interpretation of the data and a reflection to see how findings compare to the literature review. Areas of concern and future research are discussed. 10 Recommendations for prevention rather than intervention of low skilled students in mathematics are included. Following Chapter 5 is the Appendix and a list of all references used in this study. Background of the Researcher Elizabeth Islip is a graduate student pursuing her Masters in Education with a major in Curriculum and Instruction at California State University, Sacramento. Elizabeth graduated from California State University, Sacramento with a bachelor’s degree in Business Education and received a single subject and a multiple subject teaching credential. Additionally, she has earned a certificate in Drop out Prevention and English as a Second Language. Teaching at the fourth grade level in English Language Learners’ classrooms and moving to seventh grade English and Social Studies, then to a high school independent study, teaching ninth through twelfth graders, Elizabeth now specializes in 12th grade curriculum and advising a leadership group. Besides teaching, she coordinates a High Priority School Grant for the school. This entails facilitating progressive student improvement on performance testing for all sub-groups including students with Individual Education Plans in Special Education. Currently she is a participant with Placer County in a research study focused on teaching mathematics in schools using rigorous instruction in mathematics strategies and positive classroom management and focus techniques. 11 Chapter 2 REVIEW OF LITERATURE Introduction Congressional bipartisan support for the No Child Left Behind Act of 2001 (NCLB) indicates the act is here to stay (Robelen, 2009). Reform in education began with increased accountability for teachers and schools. The states increased standards and expectations, and directed common performance assessments for all students. A scramble for the most effective and efficient research based methods to increase academic achievement ensued. The results of this reform movement are shown by the Trends in International Mathematics and Science Study [TIMMS] 2007 (Robelen). In 1999, the United States ranked 19 out of 38 nations in math performance levels. In 2003, the United States moved to15th place, and in 2007 the United States ranked 9th (Robelen). States are mandated to continue with the acceleration of academic achievement for all students and prove this increase through performance assessments. Sean Cavanagh (2008) reports that in spring of 2008, the state of California mandated (raised from recommended) all eighth grade students be enrolled in Algebra 1 by the year 2011. Public uproar and expert opinion moved the state to rescind the requirement. The push behind the national Algebra 1 mandate at the eighth grade level is the achievement gap between students of color and low economic status, and white students. The national No Child Left Behind Act requires all eighth graders to be tested in algebra no matter if the course has been taken. California was out of compliance with NCLB allowing eighth graders not enrolled in algebra to take the 12 performance assessment in general math (Cavanagh). Hence California’s endeavor to mandate all eighth graders be enrolled in Algebra. California wants to maintain national credibility and funding by complying with federal requirements on algebra testing. In unison, businesses are very concerned and are pushing for more students to gain higher math skills (Business Higher Education Forum, 2006; Cavanagh, 2008). Business leaders strongly communicate that California’s math and science education is losing ground globally. Presently, only 23% of eighth graders pass the general math skills test at a proficient level. Breaking out the numbers shows that 13 % of African Americans and 16% of Hispanic students reached the proficient mark in general math in 2006 (Cavanagh, 2008; Ketterlin-Geller et al., 2008). Algebra is a gateway class to higher learning and crucial to success in math and science careers. Without positive attitudes towards math, students opt out of taking higher level math classes and thwart chances in a wide array of high paying nationally needed careers (Kortering et al., 2005; Ruffins, 2007). Schools, teachers, and students have been trying to increase the academic level of students in mathematics. Nationwide, eighth graders enrolled in Algebra 1 between 2003 and 2005 has increased 7% points, with California increasing 14% (Cavanaugh, 2008). NCLB mandates teachers use researched teaching methods yet there is insufficient data to support researched intervention strategies for students with emotional and behavioral disabilities, a subgroup that accounts for 91% of its students behind academically (Vannest et al., 2008). Evidence based practices are effective in 13 classrooms; higher academic levels are achieved, students are more engaged in the educational practice, less disruption occurs. Teaching strategies are powerful (Vannest et al., 2008). The educational progress of all students is being monitored, tallied, calculated and reported by school districts, states, and the federal government. The professional teacher ensures all students are learning and uses instructional time to most effectiveness. Asking students to become partners with teachers in their learning is a strategy teachers and the state of California is employing (Myslinski, 2008). Mathematics achievement has eluded some students with mathematic difficulties (Mazzocco, 2005). Research in the field of best practices for students with math difficulties is scant, but studies looking for areas to gain ground point in the direction of student motivation, teacher behavior, and learning strategies (House & Telese, 2008, Ketterlin-Geller et al., 2008; Pintrich & deGroot, 1990, Tanner & Jones, 2003). Student Motivation Motivation facilitates students to become cognitively engaged. “Motivation refers to the incentive for goal directed behavior,” writes Dr. Susan Davis (2007), and is developed through socialization. Interestingly, motivation can be attained in varying ways and is adaptive. Motivation is dynamic and multidimensional. Motivation can also be content specific (Linnenbrink & Pintrich, 2002). Different motivational beliefs effect students’ ability to successfully complete algebra by promoting, sustaining or facilitating learning. One motivational focus is student perception of ability to complete the task; self efficacy, “Can I do this task?” (Pintrich & DeGroot, 1990). A 14 second motivating focus is task value belief, or intrinsic motivation; the individual’s perception of the task’s importance, “Why am I doing this task?” The third focus is goal orientation (Pintrich, 1999). “How do I feel about doing this task?” (Pintrich & deGroot). Three general goal orientations are identified; mastery learning, extrinsic motivation, and relative ability orientation. Self-efficacy Self-efficacy is the degree to which a student believes they can accomplish a goal (Pintrich, 1999). Albert Bandura and Edwin Locke (2003), from Stanford University and University of Maryland respectively, report “…perceived self efficacy and personal goals enhance motivation and performance attainments”(p. 87). Bandura and Locke understand “…efficacy contributes significantly to the level of motivation and performance” (p. 87). Pajares (2002) believes self efficacy to be intuitive. Selfefficacy influences choices in three ways. Students 1. choose tasks they feel confident in, but avoid tasks they don’t feel confident in, 2. choose how much effort, resiliency, and persistence will be expended on an activity, and 3. feel an amount of stress and anxiety, from serenity to great apprehension based on self efficacy. Indirectly, teacher behavior and learning strategies have an effect on self-efficacy and student motivation (Bandura & Locke). Bandura and Locke cite evidence from nine large bodies of methodology and strategies, including work in laboratories and field 15 studies done by Sadri & Robertson in 1993, and investigations where Boyer (2000) controlled efficacy beliefs experimentally. The studies conducted in the 1990s and early 2000s have encompassed diverse populations, using different formats and different instruments. Bandura and Locke powerfully state that self-efficacy beliefs predict how a person will act, either positively or negatively. Self-efficacy determines how a person will make decisions at important points, and also, how effectively a person self motivates. Also, self-efficacy determines how a person perseveres in difficulties. Bandura and Locke go on to state emotional well-being and vulnerability is also dependent on self-efficacy. Howard Zimmerman (1996) states that “…efficacy apparently is largely induced from contemporary classroom experiences” (p. 11). Selfefficacy is influential in the choices students make (Pajares, 2002). For example, when a student is free to choose activities, they tend to choose activities they feel confident in, and avoid activities where confidence is lower. Self-efficacy determines the amount of effort, persistence, and resilience students expend. Whether serenity or apprehension exists is due to self efficacy (Pajares). House and Telese (2008) analyzed the Trends in International Mathematics and Science Study 2003 (TIMSS 2003) containing data involving 12,000 thirteen year old American and Japanese students. Japan’s adolescents scored above average on international assessments; therefore it was of interest to study Japanese students’ perceptions, beliefs, and attitudes and compare them to American adolescents. The analysts examined the relationship between mathematical ability belief, instructional strategies, and algebra achievement. 16 In the TIMSS 2003 study, students were given 12 questions regarding their beliefs and attitudes about mathematics. Examples of statements describing student beliefs were, “I usually do well in mathematics,” and “I would like to get a job that involved using mathematics.” Students responded by indicating disagree a lot, disagree a little, agree a little, and agree a lot to the statements. Additionally, students responded to 14 statements regarding instructional strategies used in the classroom. For example, “We explain our answers,” “We work together in small groups,” and “We use calculators.” Students indicated never, some lessons, about half the lessons, or every or almost every lesson to indicate their experience with instructional strategies in the classroom (House & Telese, 2008). Each student also took a performance assessment for the TIMSS 2003, named the International Mathematics Assessment. The assessment had relatively few test questions for each content area, therefore the analysts generalized five plausible score values for each question and took the average for each student on the algebra assessment. They believed this method to be consistent with statistical procedures (House & Telese, 2008). In this study, the House and Telese used quantitative methods to determine the relationship between mathematics beliefs and attitudes about mathematics, and algebra test scores. A multiple regression procedure was used to determine the relative contribution of self beliefs and classroom instructional strategy to explanation of algebra test scores (House & Telese). House and Telese (2008) found for both Japanese and American students, when a student perceives they are capable of learning mathematics more easily than 17 their peers, their achievement in mathematics is higher and their selection of careers requires more mathematics education. Additionally, the student relates being more interested in careers in science and engineering (p. 109). Beliefs, attitudes, and self confidence towards academic achievement influence math achievement (p. 102). The relationship between higher mathematic achievement on test scores and student belief in ability was positive, as well as the converse. Predominantly, students not performing well on test scores related negative self appraisals. Interesting was the finding that students earning high and low test scores communicated that they enjoyed learning mathematics, needed mathematics for careers they choose, and believed mathematics helped in day to day life (House & Telese, 2008). Pintrich and deGroot (1990) developed and used a 56 item self reporting questionnaire to look at correlations between motivation beliefs and the use of cognitive learning strategies. The questionnaire entitled Motivated Strategies for Learning Questionnaire (MSLQ) is a four part survey. The questionnaire is divided into self-efficacy, intrinsic value, text anxiety, and cognitive strategy (Pintrich & deGroot). This questionnaire was given to 173 seventh graders in eight science and seven English classes. Student performance was measured from classroom quizzes and tests, seatwork, homework, and reports, averaged over the semester to garner a summary of all tasks. The results of this study indicated self regulation, self efficacy and test anxiety were the best predictors of student performance. The findings indicated cognitive learning strategies and self regulation are related to high performance. Pintrich and 18 deGroot (1990) found students with high efficacy rates reported more use of cognitive learning strategies such as rehearsal, elaboration, and organization. This indicated self efficacy is facilitative to acquiring cognitive learning strategies (Pintrich & deGroot). Another finding in this study by Pintrich and deGroot (1990) was the relationship between intrinsic value and performance. Students who valued schoolwork for its importance and interest are intrinsically motivated. Good grades were not the goal for these students, interest in learning was the goal. Performance and intrinsic value were not directly related. Pintrich and DeGroot explained that the study suggested intrinsic value was used by students to choose to become cognitively engaged. Intrinsic Motivation Intrinsic motivation is the desire to learn for learning sake, for the pleasure of learning (Linnenbrink & Pintrich, 2002). Interest is a factor in intrinsic motivation and is multifaceted (Linnenbrink & Pintrich). Personal interest is somewhat stable and can be measured by asking a student what they like or do not like. Situational interest can be short or long term and has to do with the classroom climate or the context and environment. Linnenbrink states in her description of situational interest, “For the most part, the researchers who have studied situational interest have been reading researchers who have focused on how different aspects of text can generate and sustain interest” (p. 319). 19 Learning and Performance Goal Orientation Dr. Carol Dweck is a professor at Columbia University and a prominent researcher in the field of motivation. During an interview with Gary Hopkins, editor from Education World (2005) Dr. Dweck explained the importance of intelligence as a potential to develop using mastery learning. Mastery learning is learning focused on strategies, challenge, and persistence at learning. Mastery learning is not worrying about incompetence, or intelligence level, or how easy the learning is, nor about the grade one will receive from the teacher. “Sustained effort over time is the key to outstanding achievement,” states Dr. Dweck (Hopkins, p. 3). In describing mastery learning, she explains how learning goals differ from performance goals. Learning goals are the focus of learning, where a student will put effort. Performance goals are assessment results. Assessment results show a student’s current level of performance. Intellectual skills are accumulated through effort in challenges, reading, and education (Hopkins). As students are taught intelligence is not static, their view of personal ability changes and they are more willing to face challenges (Hopkins). Dweck (Hopkins, 2005) explains many top athletes are mastery oriented. They do not take a bad game or score as information that they are less talented then opponents, but as learning focuses. Before the next event, the athlete will view taped performances and practice relentlessly on newly indentified skills and improvement. Formative testing is similar in this respect. It points the student and teacher to skills needing focus and effort. Giving students the information on how and where to focus and improve their learning is empowering (Tanner & Jones, 2003). Summative 20 tests are used at the end of learning, before going to another topic. Summative tests give a picture of how well the student learned the information and point to high or low ability and may be a reason students become disenfranchised with education during middle school (Tanner & Jones). Developing learners who are in charge of their own learning should be the educator’s goal (Tanner & Jones). Using formative assessments is a means for students to take control. Students facing a middle school algebra class after elementary arithmetic may find it challenging. Because many middle school students have not been faced with challenging mathematics classes in previous school years, they question whether intelligence is limiting them in algebra. Dweck (Hopkins, 2005) makes the point that if students view intelligence as fixed, the student may feel there is no need to further attend to learning the difficult algebra concepts. Also, students may be afraid to try the more difficult algebra concepts, for fear of proving their intelligence is low. This causes a student to withdraw the value of education. Dweck’s research has shown no relation between success in education and the ability to confront challenges, meaning that if a child is successful in school that does not mean they will be good at confronting challenges. Inversely, neither is there a relationship between the student struggling in school and their ability to confront challenges (Dweck, as cited in Hopkins). Praising students for effort is much more powerful than praise or reward for performance (Dweck, as cited in Hopkins, 2005). Linnenbrink and Pintrich (2002) take this idea one step further and state praise should be for effort of specific learning 21 strategies. Reward for performance begets students choosing only winning situations without the question of losing, thereby eliminating challenges. Dweck (Hopkins, 2005) makes clear that studies with geniuses show them exhibiting tremendous, sustained effort. That is what makes them geniuses. The greatest knowledge students may seize is the importance of continual learning, facing challenges, and confronting obstacles. By feeling successful as learners, students are able to set goals. It is by setting goals that students become metacognitive concerning their learning (Winstead, 2004). “Success breeds success” is an old axiom, stated again by Lisa Winstead, a researcher and professor at the University of the Pacific. She writes that academic success is a prerequisite to goal setting. Also, for students to succeed at goals, they must realize that errors are part of the learning process. When students understand errors are a natural, inevitable step in learning, students have less tendency to give up. Mastery learning supports students’ self efficacy and lessens negative thoughts, thereby allowing more achievement (Linnenbrink & Pintrich, 2002). William Glasser’s (1997) position on choice theory states that students’ need for belonging, power, freedom and fun must be met in the classroom. If a teacher uses extrinsic motivation, for example in the form of candy or bonus points on summative tests, this is destructive to caring relationships. Extrinsic motivation is coercive (Glasser). The ultimate goal of schools is for the child to be motivated to choose education as a means of satisfying the four needs, thus intrinsically motivating. The 22 student learns, because their goal is to satisfy the need for power, freedom, fun, and belonging and the learning environment satisfies these goals. Extrinsic Motivation Extrinsic motivation is the desire to learn so the student can achieve something else, or as a means to an end (Linnenbrink & Pintrich, 2002). For middle school students, extrinsic motivation is not positively tied to performance (Pintrich, 1999). Engagement in this type of motivation, leads to cognitive thought on other matters besides the task (Linnenbrink & Pintrich). Examples of extrinsic motivation as described in the literature are the need to “be better than” another student, or for the need to fit in “the higher level” math group, or to achieve high performance on assessments (Linnenbrink & Pintrich; Pintrich). Students using relative ability orientation have a desire to get a good grade for their parents, or to work hard for the teacher. It appears this type of motivation, extrinsic, is not long lived for students in middle school. Yet for college level students, extrinsic motivation and relative ability orientation is positively tied. Pintrich’s writing regarding this difference between middle school and college students is that the choice college students have regarding classes, effort, and time may account for the positive correlation between extrinsic motivation and performance. Pintrich also postulates the college student may understand the need for good grades in certain classes will allow her to get where she wants to be in another area. The United States Department of Education’s practice guide Reducing Behavior Problems in the Elementary School Classroom (Epstein, Atkins, Cullinan, 23 Kutash, & Weaver, 2008) negates Glasser’s (1997) theory, citing research stating positive rewards encourage appropriate behavior that leads to engagement, student success, and ultimately positive student academic perception. The stated manner for teachers’ use of positive rewards is to employ small rewards frequently, close to the student’s use of appropriate behavior, using rewards that make the student feel good, and then to gradually reduce and eliminate rewards. This use of extrinsic motivation appears to apply a tactic of behavior modification that may additionally provide modeling for the non motivated students. This practice guide from the United States Department of Education (Epstein et al., p. 67) acknowledges the controversy with extrinsic motivation. Therefore researchers for the United States Department of Education examined 128 studies, concluding that extrinsic motivation, or external reinforcement, enhanced student interest and time on task if used in appropriate manners as stated above. Integral to student motivation and the school experience is teacher behavior. How a teacher motivates, how a teacher rewards behavior and what a teacher says can have a profound effect on a child’s view of learning. Michael Fullan and Andy Hargreaves (1996) write in the book What’s Worth Fighting for in Your School? that teachers make over 100 decisions, on the spur of the moment, in every given school day. Teacher Behavior The foundation of public education rests upon the student recognition of a caring teacher (Noddings, 2005). The responsibility to establish and maintain this 24 personal, caring relationship with children lies with the teacher. In addition, the professional teacher makes sure all students learn in an effective manner, according to the needs and attitudes of the child (Vannest, Temple-Harvey, & Mason, 2008). It is well documented in the literature, that positive climate and student involvement is essential to effective learning (Epstein et al., 2008; Shipero,1993). Student Involvement Studying student involvement in mathematics, Julianne Turner et al. (1998) define involvement as a “…psychological state that is concerned with the quality of experience during learning” (p. 731). This state of mind is different than engagement and interest, sitting between them on the continuum line of experiences. Engagement is “doing” and interest is being intrinsically motivated “to do”. Involvement requires deep concentration and an in-depth understanding of the task and goal at hand. Turner et al. define characteristics of student involvement as student concentration is pointed, time passes quickly, students are emotionally invested, and a persistence to continue with the task is evident. Student perception of involvement incorporates challenges and student skills that are both high and balanced (Turner et al.). Turner et al. (1998) observed seven classroom teachers’ instructional practices in a total of 34 different class sessions. They also studied classroom processes related to motivation. The researchers observed and audio taped class sessions, categorizing the class’ discussion. They asked 42 fifth and sixth grade students, an equal number of boys and girls, representing high to low mathematical abilities to generalize the class 25 experience using a 13 statement questionnaire with a Likert scale. Statements regarded involvement, challenge, and skill level (Turner et al.). Findings from this study showed that teachers in high involvement classrooms monitored and supported students’ skills, persistence, interest, and emotional stamina. Additionally, teachers upholding high involvement in classrooms gave students control by praising autonomy. The third noticeable difference between high and low involvement classrooms in this study was the enthusiasm for mathematics among teachers. Students in three of the seven classrooms were designated high involvement students by the tendency to work fruitfully and positively. Using motivational and emotional supports, teachers enable students through confidence building by the use of scaffolding instruction (Turner et al., 1998). Turner et al. (1998) defines scaffolding as assisted instruction. Scaffolding instruction in the literature is also called the Zone of Proximal Development formulated by Vygotsky. Stephen Krashen calls scaffolding instruction i+1 (Winstead, 2004). Teachers with high student involvement used scaffolding to maintain student focus and concentration. Teachers used feedback regarding goals and adjusted the student assignment level, which allowed new understanding for the student. Scaffolding instruction utilized diagnostic and formative assessment allowing the student to begin instruction at a comfortable academic level. Thus they provided the student a level of success and challenge (Linnenbrink & Pintrich, 2002; Turner et al.,1998). As the students progressed through the curriculum, teachers using scaffolding asked students to verbalize or write their conceptual understanding. In 26 addition, teachers also allowed students to use their own strategies for computation and exploration. This autonomy allowed for the transfer of learning to the student (Turner et al.). Assessment was used to ensure small bits of context had been learned by the student. If the formative assessment showed the student was unsuccessful, the teacher intervened and supported the student. The student felt positive and was motivated to continue (Winstead). High involvement classrooms in the Turner study had teachers that discussed the exploration of learning strategies and self evaluation. Scaffolding supported students cognitively as they demonstrated understanding. Turner et al (1998) identified and discussed the importance of teacher behaviors in high and low involvement classrooms, but did not delve into the measurement of student performance as it related to high or low involvement classrooms. Neither did the researchers address the differing skill level of the 42 students answering the questionnaire. A question for further research is how did the students of differing skill level perform on summative tests, and did the lower performing students view their involvement in the classroom in the same way as their peers. Learning Environment Van Grinsven and Tillema (2006) report in the article, “Learning Opportunities to Support Student Self –Regulation: Comparing Different Instructional Formats,” on the need for teachers to provide environments for students to learn and participate in organizing their own learning and knowledge acquisition. This study in vocational programs, involving 623 sixteen to eighteen year old students, categorized factors of 27 different types of learning environments. Students then reported on motivation and use of self regulation strategies through responses to questionnaires including Pintrich & De Groot’s (1990) Motivated Strategies for Learning Questionnaire (MSLQ). The central question of the research was to determine the best learning environment to enhance student motivation and self regulated learning strategies. Van Grinsven and Tillema (2006) set up five learning environments specifically 1. the traditional education mode for whole class instruction of teacher chosen subjects with little or no student choice, or attention to learning strategies, and graded on product only, 2. an open learning center, where students worked independently on teacher chosen subjects with a high degree of autonomy but no attention to learning strategies, graded on product and process, 3. thematic, independent group work, with high student autonomy and again, no attention to learning strategies, graded on product and process, 4. thematic, project oriented learning in small groups of students, with no or little choice, yet high attention to learning strategies, graded on product and process, and lastly 5. a full project-based learning (PBL) program with small groups of students working thematically with a high degree of autonomy , with explicit attention to learning strategies, graded on product and process. 28 Van Grinsven and Tillema (2006) found student motivation had the strongest influence and largest impact on use of self regulated learning strategies. Motivation was greater in environments where autonomy rather than teacher control was the norm. Another finding of the study regarded student perception of the learning environment. If students perceived the environment as promoting self regulated learning, the data indicated students participated and put more effort into learning. Overall, this study found traditional instructional environments to be in need of reform for students in vocational education and about to enter the workforce (Van Grinsven & Tillema, 2006). It also pointed out students felt most supported by teachers in an environment where learning strategies were taught. The difficulties arose with the five different environments when assessing individual effort in a group project and in the design of tasks for self regulated learning (Van Grinsven & Tillema). Questions that remain after synthesizing this study involve the lack of data analyzed for gender, and the lack of information on the type of subjects and themes offered in the differing vocational education environments. The researchers also did not indicate the performance level of students in the five differing environments, although they did indicate it was problematic to assess group projects per individual. No Child Left Behind mandates researched teaching methods be used in classrooms yet little research has been done in mathematics classrooms with at risk students. Tom Lester (2009), a consultant for “Math Matters”, and mathematics teacher has developed a program with promise for struggling students. Through 29 positive reinforcement of behavior and answers, deep respect for students, clear communication of expectations and mode of response, carefully crafted specific questioning, and cognitive use of “wait time”, teachers were able to involve students in conceptual understanding and intellectual conversations with peers in a positive climate. Reaching the students who have self efficacy, parental support, are organized and goal motivated are the easy to teach. What about the students that are struggling with parents, finances, peers, and homework? At risk students need to be in classrooms where teachers use classroom management techniques that increase student involvement, improve student motivation, and focus attention to rigorous mathematics achievement. Learning Strategies “Self regulated learning is neither easy nor automatic,” Paul R. Pintrich (1999) claims (p. 467). Self regulated learning involves more time, more effort, and more engagement and importantly, must be promoted. Self regulated learning utilizes strategies to regulate cognition and metacognition (Pintrich; Weinstein et al., 1989). Self regulated learning strategies are grouped into cognitive strategies, self regulation strategies, and use of resource strategies (Pintrich). Undoubtedly, student motivation and student self regulation are entwined (Pintrich & deGroot, 1990). Tanner and Jones (2003) found a strong correlation between students’ self efficacy scores and their belief in self regulated learning strategies. In a study of 47 middle school mathematic students, statements regarding 30 self-efficacy, metacognition, and self regulated learning strategies were investigated regarding student attitudes towards beliefs as learners of mathematics. Even though the students believed, for the most part, that self regulated learning would be helpful, few applied the learning strategies. Furthermore, with this group of students, data revealed that student knowledge of their personal strengths and weaknesses was not evident. Nor was, in 50% of the students, knowledge of effective learning strategies. Also, a large minority expressed beliefs that mathematic knowledge was not in their control. In this large minority, students believed mathematical knowledge was fixed. The necessity to explicitly teach self regulation learning strategies is evidenced by this study (Tanner & Jones). Many educators believe learning strategies are acquired as students progress through school. But unless students are explicitly taught learning skills, they may not incorporate them into regular use (Weinstein et al., 1989). To suppose that students innately discover learning strategies is in error (Weinstein et al.). Modeling and meaningful practice must be incorporated into the curriculum. Cognitive Strategies In the Trends in International Mathematics and Science Study 2003 (TIMSS) researchers, Daniel House and James Telese (2008) acquired student responses to statements regarding learning strategies and measurement of perceptions of self aptitude and belief. Responses to these statements were analyzed with the students’ answers on the TIMSS International Mathematics assessment. From this analysis, House and Telese found more active learning was conducive to higher performance on 31 assessments. For example affirmative responses to the statements, “We work on problems on our own,” “We interpret data in tables, charts, or graphs,” “We explain our answers,” “We decide on our own procedures for solving complex problems” (House & Telese, 2008, p. 104) resulted in a tendency for higher performance test scores in algebra. Contrary to earlier studies, students responding that they engaged frequently in cooperative learning produced lower performance scores than did students working problems out on their own (House & Telese, 2008), pointing to further research needed in the area of cooperative learning and mathematics. In addition, House and Telese described a need for reflection after active learning sessions, as well as hands on projects, and student self management to improve positive attitudes towards mathematics. Richard Lesh and Richard Lehrer (2006) make a point on cognitive strategies for learning mathematics that Models are a type of knowledge that is useful for developing, describing, explaining, predicting, and controlling complex systems; and “survival of the useful” is the main criteria which determines the acceptance or rejection of models (as well as the underlying conceptual systems that they embody). (p. 19) To be accepted, models must be powerful, reusable, and sharable with others (Lesh & Lehrer). Lesh and Lehrer explain that the highest demanded people in the work world can make sense of complex systems, communicate in teams, adapt quickly and readily, 32 work with many layers of people, and develop and share tools. Expression is the most sought after skill, not computation. Lesh and Lehrer believe mathematics teachers and students should spend time investigating, revising, inventing and developing models. Barry Zimmerman’s research (1996) involves observations of social learning. He has found social models powerful in knowledge acquisition strategies. Interestingly, his research has found self regulation to be developed over four phases. First is observation, then imitation, next is practice of self control, and finally adapting self regulatory skills according to one’s needs. Self regulation begins socially, then moves to the individual. Zimmerman and Manuel Martinez-Pons’(1988) studies have sought information on how students achieve high academic success. Findings indicate students achieving high academic success approach learning in a strategic fashion, they self monitor their learning (self regulation), and sustain learning through use of self efficacy (Zimmerman & Martinez-Pons, 1988). Self Regulation Zimmerman and Martinez-Pons (1988) developed 14 categories of self regulatory processes. Using responses to a questionnaire, the researchers were able to accurately identify high achieving academic students from regular achieving students. The process of self regulation increases students’ academic motivation and self efficacy (Zimmerman,1996). Intervention in self regulation can enhance perceptions and decision making. When students recognize these enhancements, students may accept responsibility for their learning. Self regulation of learning strategies promises 33 to improve the academic performance of many youth, yet it is still a hidden factor in education (Zimmerman, 1996). Use of Resources In a study to provide insight into the needs of students with learning disabilities in algebra, researchers Larry Kortering, Laurie deBettencourt, and Pat Braziel (2005) found that students enjoyed working with their peers and asked for more support and assistance from caring teachers. Peer Assisted Learning (PALS) is a learning strategy used with high success in language arts and reading classrooms, and in 2nd through 6th grade mathematics instruction. Students are paired with other students of differing academic ability and coached in providing response, inquisition, and reward. At the high school level, intervention strategies that show promise include work at problem solving that has value after high school (Kortering, deBettencourt, & Braziel). Vannest et al. (2008) searched for articles on mathematics intervention for students with behavioral and emotional disabilities and found most would not meet NCLB’s standard of scientifically based research. They did identify learning strategies that showed promise of academic performance improvement. These three strategies include visual and manipulative organizers, various academic strategies such as “Say it before you do it,” and permanent model, and lastly, musical mnemonic technique. Summary of Literature Review All students deserve to have a quality education that meets their needs. Education in mathematics achievement for low performing students is an area with 34 scant research and attention. Few researched based studies are available to teachers regarding mathematic intervention programs. Strategies that have been employed in classrooms for students who are behind academically center around more time-on-task (Balfanz et al., 2004) or remediation classes in mathematics are limited to narrow test preparation and life skills. Views on learning mathematics are wide ranging, from a set of procedures that must be memorized, to a conceptual view of integrating algebra and geometry to make sense of the world (Balfanz et al., 2004). What is needed is an early identification system using diagnostic and formative assessments, and required intervention using scaffolding instruction (Balfanz et al., 2004). Self efficacy beliefs in students must be regularly scrutinized by teachers to keep students from becoming discouraged. All students must be enrolled in classes with rigorous instructional programs that sanction the self efficacy of students. It is imperative that low performing students are taught explicit learning strategies and have caring, supportive teachers, with high expectations for behavior and achievement. Synthesis of studies indicates a significant need for more research in the area of mathematical achievement. Attention to student motivation, teacher behavior, and explicit teaching of learning strategies needs to occur in a timely manner for all students. In addition to school reform, students as partners in identifying their specific learning needs may impede disenfranchisement from the educational realm. Linnenbrink and Pintrich (2002) tells us the student’s active regulation of motivation, learning strategies and connected behavior in the academic content plays a big role in 35 achievement. By engaging students in the work of monitoring their academic achievement, a feeling of empowerment, autonomy, and intrinsic interest may come about. Passage of performance assessments in algebra is required for a high school diploma and passage of higher level mathematics classes is required for higher paying jobs. Positive self efficacy in mathematics is attainable for all students. Let us do as the law states, and leave no child behind. 36 Chapter 3 METHODOLOGY Introduction The purpose of this study was to determine factors in students’ lives that perpetrated their continued failure in passing algebra. The study incorporated a qualitative approach with questionnaires, interviews, examination of cumulative school history folders, and observations. These methods provided a student perspective of the factors that may have affected their mathematical achievement (Merriam, 2001). Issues of self efficacy and motivation, teacher behavior, and learning strategies are components in a successful academic program and were examined in this study. Other social strains may have applied undue pressure on the student and their success in algebra and were examined with this study. Students responded to questions regarding their history in algebra classes. These responses were analyzed based on vocabulary and intent, in order to perceive a picture of the students’ hurdles in the algebra classroom (Merriam, 2001). Questionnaires were given to students regarding their knowledge and use of learning strategies, parent and peer support, and perception of teacher behavior. Observations of student self efficacy and motivation were made by the algebra teacher/ researcher. Student cumulative school histories were scrutinized. “This interpretive approach stresses that it is the subjective experience of the individual that 37 is important and that it is individual perception that bestows meaning, rather than there being any external objective meaning, “ states Middlewood, Coleman, and Lumby (1999, p. 10). Research Questions Questions that plagued the researcher were: Why do 95% of sophomores, 50% of juniors and 25% of seniors in this independent high school still need algebra credit? What factors disabled students from passing algebra? What academic, social, and emotional needs did the students have at the time of their initial attempt in algebra class? What student needs for learning algebra were not being addressed? Research Design and Data Collection To answer the above questions, qualitative approaches were used in the study (Bogdan & Biklen, 1998; Lyons & LaBoskey, 2002; Merriam, 2001; Middlewood et al., 1999. Student stories, observation of the student learning process, interviews, and combing student cumulative school history folders provided the researcher with each student’s description of their mathematical learning. Categorizing the data in three areas, motivation, teacher behavior, and learning strategies, helped to understand the reasons behind students’ unsuccessful venture in previous algebra classes. Because the participants learned algebra from both peer and teacher instruction during this study, the teacher/researcher was a participant observer (Spradley, 1980). Notes of student behavior and student comments were taken while in their current algebra class, as well as after class, during less formal meetings. Interviews with students were audio taped, then transcribed and categorized by the observer. Students 38 were interviewed using open-ended questions relating to motivation, teacher behavior, learning strategies, and parent and peer support. The observation process was cyclical (Spradley, 1980) and continued from August, 2008 to May, 2009. From the student’s perspective, evaluation of their earlier algebra classes regarding a positive classroom climate relating to behavior control, scaffolding of instruction, student autonomy and involvement was examined. Student perception of teacher support and caring was analyzed and documented. Learning strategies explicitly taught by previous algebra teachers and used by the students were observed by the researcher. In addition, student perceptions regarding learning strategies were gathered from a questionnaire. Cognitive strategies, self regulation strategies, and use of resources were observed. This study took into account algebra instruction from the consumer’s point of view (Kortering et al., 2005). The interview was voice recorded and transcribed with student understanding that all names would be changed to protect the students’ identity. The students preferred talking rather than writing when answering questions for this study. The interview questions asked the students to relate their experiences in their first algebra classes. Students were asked to assess whether the teacher behavior suited their learning needs, and if it seemed the teacher cared about their academic success. Engagement is an important component of academic achievement and students talked about their involvement in the algebra classroom. Family support and peer relationships were assessed by the students as being helpful or not. The observation notes obtained by the teacher/researcher were grouped into three areas, motivation, 39 teacher behavior, and learning strategies to attempt to reduce the multiple variables into a coherent scenario. Participants The participants in this study were two males and six females enrolled in an independent study, alternative education high school in the northern California foothills. The students were 12th graders. None of them had finished the 10 credit algebra requirement, but some students had earned a few credits. Six students were white, and two students had one Hispanic parent and one White parent. One participant dropped out of high school on her 18th birthday during the second semester. A second female participant stopped attending school in the second semester, but attended an occupational training program through the county. These eight students were classified as being at extremely high risk of dropping out of high school based on credit accumulation and their lack of progression during the previous year at this independent study. Following is a table of participating student data. 40 Table 2 Student Information Student male or female Parent Education/ divorce Socioeconomic Ethnicity Reading grade level Kyle M Graduate level/ divorced Graduate level/ divorced Vocational/ divorced Middle White Middle High school/ neither parent works (medical) College/ divorced Vocational/ divorced High school/ alcoholism & violence High school/ divorced Emily F John M Jocelyn F Elaine F Sharon F Amy F Tabatha F Designated in need of special education in high school Transportation issues to participate in 4 times per week direct instruction in algebra 12+ Credits needed in algebra/ (total credits needed should be 30) 9.5/ 40 No White 12+ 10/42 No Low Hispanic/ white 12+ 10/50 No Middle Hispanic/ white 7 10/104/ No Rode public transportation 6:30-3:30 Walked to friends, waited to catch a ride Walked to public transportation None Middle White 12+ 5/95 No None Low White 12+ 5/50 No None Low White 12+ 7/40 No None Low White 7 5/30 No None All students in the classroom agreed to participate in this research regarding their past experiences in algebra. They knew they were to be part of a study for the teacher’s Masters project. Discussion frequently revolved around learning strategies, group work, multiple ways to solve problems, motivation, and teacher behavior. 41 Two of the participants lived with both parents; the others were in single parent or blended families. All of the students were presently in the regular education program. Six students were proficient readers, performing at the 12th grade reading level as indicated on the Star Diagnostic Reading Assessment. Two students scored in the 7th grade level on this same diagnostic reading assessment. None of the eight students had an identified reading disability. None of the students were designated in need of special education during high school, although two students had previous experiences in special education. Three students had transportation issues and had to leave their homes at 6:30am, transferring on busses, or catching a ride at 7:30 with friends that may or may not be going to school. Two students were alone in the mornings at their homes and agreed to get themselves to school for the algebra class. Three students had mothers or a grandparent at home in the morning to support them. This information is included to help the reader understand the self motivation required to attend a non standard, not required, four day a week algebra class at an independent study high school. Setting The setting for this study was a newly planned classroom in an independent study high school of 150 students. The classroom was designed for a small group, and the class was implemented specifically for 12th grade students not yet completing the ten credit algebra requirement for high school graduation. This was the first attempt for the school to offer daily, rather than the traditional weekly classes. The participants agreed to come to school four mornings per week for the first semester to receive and 42 participate in small group instruction in algebra. Independent study students do not typically meet four days per week, and transportation is an issue. During the one and a half hours of algebra instruction per day, the teacher first began working with student perception of ability; dispelling the myth that intelligence is fixed. Confidence building in mathematical ability was the top priority. Class started with mental math problems within the students’ skill level. The classroom climate was relaxed. Students brought their breakfast, drank tea; one student brought her lap dog to class each day. The class celebrated when they finished algebra chapters and when they all understood a difficult concept; celebrations occurred frequently. The students participated in team building activities together. The class had momentum because the students knew this was their ticket to a diploma and after 12 years in education, all eight students wanted a diploma. The small class allowed for student autonomy and demanded student interaction. Encouragement by the teacher and students for peer tutoring was accepted by all. The psychological setting for this algebra class was that all students would be involved in learning algebra in a positive classroom with high regard for fellow students and the teacher. It was verbalized and reinforced that no student would be left behind. Expectation of the teacher and students was that all students would finish ten credits in algebra before the first semester finished and that all students would continue with additional required credit accumulation and graduate from high school. Previously, the algebra study in the students’ 11th grade year at this independent study high school was to be done at home via an algebra text, with the 43 student showing learning on summative assessments during the designated weekly appointment with the teacher. This independent text book model of instruction was unsuccessful for the students in this study. One student had tried the computer as an instructional mode, using Plato. He was unsuccessful in passing the algebra course using this method. The students and teacher participating in this study were also participating in a federal grant, titled Rigorous Instruction in Mathematics Strategies facilitated through the local county office of education. This grant was to study the effect of rigorous mathematics preparation by the teacher and a teacher delivery system that promoted self efficacy, student autonomy, positive teacher behavior, and the use of self regulation. The guidelines for classroom management were from Math Matters, a program for staff development in teaching mathematics. Applied coaching, observation and intensive instruction in teaching mathematics was provided to the teacher. The independent study high school was located in a rural community of 40,000 people and one of six schools in the high school district. Total enrollment reached approximately 160 students in the spring, with 50% of students enrolling in this school having not completed their algebra credit. Procedure Prior to questioning students regarding their commitment to learn algebra, letters of consent (see Appendix A) were distributed to students and parents. During the daily algebra class, students were given the opportunity to gain confidence in 44 mathematical ability with the scaffolding of curriculum. Concurrently, relationships were stressed and several team building activities ensued. Mathematical rigor within the students’ ability was expected and accepted by the students. One aspect of the class that was different from most classes was the understanding that students and teacher agreed not to leave any student behind. This translated to reteaching many topics. If a student was absent, the other students and the teacher would tutor the student what they had missed prior to going on with the new lesson. These instructional practices may seem common to the reader, but the eight students had varying school attendance problems, motivation issues, low self efficacy, family support issues, and repeated negative experiences with school staff. They also had a large variation in mathematical knowledge. The reteaching had two positive results, it directly taught students what they had missed and it reviewed and reinforced curriculum to the students who were in attendance. It also built relationships. The new text was set up sequentially with a few practice questions at the beginning of each section showing the skills needed to be successful in the new unit. Formative assessments were scheduled in the text frequently. These formative assessments were useful in identifying content knowledge for each of the students. The class did not progress forward until all students passed the formative assessments. Students who understood the material taught students needing additional help. The summative assessments at the end of each chapter were done as a class, a community test. The teacher/researcher required that all students were to have the same answers on each test item. This gave the teacher/researcher the information on persistence, 45 cooperative effort, and insight into individual student needs. Students were encouraged to find and explain to the whole class their own way of construing mathematical problems thus giving students autonomy, involvement, mathematical vocabulary, self regulating behavior, and goal attainment. Completions of algebra problems were also done openly, with multiple ways of working problems shown. Students were encouraged to demonstrate methods that worked well for them in the past to fellow students and teacher by posting information on the walls for others to see and follow in future sessions. Student data was collected in multiple ways. Observation notes were taken throughout the semester by the teacher. Written questionnaires where completed by the students. Face to face interviews using a voice recorder to document comments were used so the students could document their perceptions without writing. The teacher-student interviews were conducted after students had successfully earned most of their algebra credits. Cumulative folders of students’ school history were carefully examined by the teacher after the school year had ended. Information in each folder was put in chronological order, then information was entered on a matrix to facilitate understanding. Gaps in student’s school histories were evident in several folders. Summary There are multiple possible causes for student’s failure in previous algebra classes. This study sought an exploratory and interpretive view (Leedy & Ormrod, 2004). The students participating in the study did so voluntarily, without risk. They, 46 also, were interested in finding an explanation for their non success in previous algebra courses. The eight students were 12th graders, embarking upon their last year of high school. The students were enrolled in an independent study high school, through the public school system. Additionally, these students had been enrolled in this independent study high school in the prior year of education for varying lengths of time. They had entered their 12th year of school without earning the total ten credits of algebra, an 8th grade class, required by the public school district for graduation. The eight students enrolled in a daily algebra class designed to be conducted in a positive, confidence building atmosphere. The students discussed reasons why success had eluded them in prior mathematics classrooms, and responded to interview questions, written questionnaires, and examined feelings retrospectively to try and pin point what would help other students in the future to facilitate learning algebra. The researcher collected comments spoken and written by students and categorized them into groups to indentify reasons for previous failure in learning algebra. Additionally, students’ cumulative school history folders were combed by the teacher/researcher for information regarding student’s ability to learn algebra. 47 Chapter 4 RESULTS AND ANALYSIS OF THE DATA Introduction Algebra is an 8th grade subject, yet 25% of the 12th grade students in this independent study high school had still not completed the course. Eight of these 12th grade students agreed to attend algebra class four days a week, to facilitate earning the needed algebra credit. It is characteristic of independent study students to meet with a teacher/advisor only once per week, so meeting four times a week was not the typical arrangement for independent study. For 12 years these students had been enrolled in public education, yet now at the end of the journey, were faced with an ominous task for the coveted high school diploma. They must earn the required credits in algebra. As the year started it became evident the students wanted to learn algebra; they showed up and were eager and ready. Thus questions arose. Why had they not passed the algebra class earlier? What got in the way? Was it student motivation? Teacher behavior? Did students know how to learn math? To try and answer these questions, the teacher/researcher observed, surveyed, interviewed, studied student’s cumulative school histories, and taught these students algebra from August to June. The teacher/researcher participated in class conversations, queried student learning needs, and facilitated the acquisition of algebra knowledge. 48 Results and Analysis of the Data Understanding why students fail at learning algebra is a complex subject. This research attempts to translate the multiple realities of several students’ school lives as it relates to learning mathematics. As Middlewood, Coleman, and Lumby (1999), explain “People act on the basis of the sense that they individually make of a situation, rather than acting directly in response to external stimuli” (p. 11). Based on a review of the literature stating that student self efficacy, teacher behavior, and use of learning strategies are essential elements of student success, the student comments and teacher observations were grouped accordingly. Not all students responded to data questions. Student attendance throughout the year was sporadic. Students dealt with life pressures as well as academic pressure to graduate from high school. The survey was presented and completed during algebra class time, in early November, 2008. Observations were made during the algebra class and at any other time contact was made with students and family. For example, the teacher/researcher made many calls home. Also, students may not have attended the formal algebra class on a certain day, but may have come to school after class was over. Interviews took place when the students were available and willing after the first semester. After January of 2009, students came in frequently during the week for individual algebra tutoring, but no longer met in a class setting. The four methods used in collecting data are presented in the chronological order of collection during the year. 49 Responses to Journal Questions The journal questions sought student perceptions regarding self efficacy, teacher behavior, and learning strategies and environment in their previous algebra classes. The journal is shown as Appendix A. In response to journal questions regarding perceived motivation, students used negative terms “Gave up”, “Didn’t care”, “Felt like an outcast”. Student perception of teacher behavior was also mostly negative “She could not control her students.”, “She was mean.” “Classroom was overfilled with disrespectful, ignorant, students that had no desire to learn.” This negative perception was expected as the students had failed their algebra classes. One student did not blame the teacher or the other students, but took the blame wholly on himself. “I didn’t care.” And “I didn’t want to do the work so I didn’t.” Use of learning strategies included their perceived maturity level and family support. One student felt his family blamed him for not doing the work, another student’s mother confronted the teacher, and then the student said the mother “Gave up.” The intent was to understand how students experienced math class. Following is a table with journal questions and student responses. 50 Table 3 Student Perception of Previous Algebra Class Grade student first took algebra Self efficacy (fractions? compared to others?) Teacher behavior (room setting? classroom control? teaching strategies?) Learning strategies (maturity level? family support?) Kyle 7th grade algebra class “I was not committed to learning.” ”I did excellent with fractions but failed because of not showing my work.” ”I tried to learn at first, then gave up.” “I never got it before.” “too much homework …gave up didn’t care anymore.” “There were 36 students, no help to slow students.” “She could not control her students.” “I was very mature compared to my classmates.” My family “blamed me for not doing my work.” “She was mean, didn’t help us if we didn’t get it. She kept going on so we got left behind and failed.” “Big class, no classroom control” John, 9th grade algebra class “I didn’t go that often and quit.” “I didn’t want to do work so I didn’t.” “I did ok with fractions.” “The teacher had classroom control, sometimes we were in rows or sometimes groups.” Elaine, 8th grade algebra class “Hard time with fractions, no one took the time to explain them to me.” “…felt very uneducated.” “I felt like an out cast at the school, so in all of my classes but art I struggled.” “The class was overfilled with noisy, disrespectful, ignorant, students that had no desire to learn.” “He had zero control over the class, he allowed the students to harass him…” “Mom confronted the teacher, teacher didn’t care, mom gave up, mom did as much as possible.” ”Teacher gave us questionnaires about learning styles but then didn’t change anything!” “My mom tried really hard to get me to pass but I didn’t care enough” “My mom yelled at me, even sat in my classroom with me, but nothing helped.” ”Then, no body believed that I was so miserable, now my dad realized that I have been struggling and I’m growing and learning.” Emily, 8th grade algebra class Learning strategies students choose as helpful Using short cuts, short and more frequent tests. Working together in a small class, being able to talk in class Group work 51 Observations of Students Observation by the teacher/researcher occurred usually during algebra class. The students started algebra class on time using mental math problems. They then worked two previous day’s problems on the white board to refresh or remind ourselves how far we had come. Next on the agenda was the current day’s lesson. Through out the algebra class, students tutored each other. About five students were present on any given day due to absences and tardiness, therefore continual reteaching was necessary and accepted. The teacher fixed the students cocoa, one student brought her lap dog every day to class. Another student baked birthday cakes and we celebrated frequently. Initially the time frame of the algebra class was August to December, but in January, students were two chapters from finishing. These were the most difficult chapters. The class size in January was usually at three students because one student dropped out and two attended morning vocational classes. Attendance was poor. In the end, students acquired the last 1 ½ credits one on one with the teacher. Through out the school year, the teacher/researcher took notes of observed student behavior. Those notes follow. 52 Table 4 Notes from Observation 2008/2009 8/2008 to 5/2009 Kyle Self efficacy Teacher behavior Unrealistic high sense of skill level, could compromise with teacher, enjoyed the computer. Rarely completed work assigned but proved he could understand concept. Teacher/researcher allowed student to become student teacher, teacher did not call attention to deficits but supplied clarification and computation corrections. Emily Low sense of self efficacy, somewhat of a perfectionist. Pencil hold abnormal, very stubborn and aggressive when pushed. Motivated to graduate. Learning strategies used Student had conceptual knowledge but had computation errors, worked well with others, liked being unique with strategies. Student needed the confidence of being a smart math student, therefore was frequently asked his opinion and to explain his reasoning. Student attitude Talking it out, helped keep class working it out moving, enjoyed on board, positive peer additional time outlook, would not until problem allow one on one understood, help less problems. Student needed to be class leader, she was instrumental in prodding the class forward. Relied on calculator. Algebra credits earned/Graduation 10/Graduated 10/Graduated during summer school 53 John He knew he could learn algebra. He was methodical and thorough. Attendance problem. Often had head down on desk. Appeared depressed. Very quiet student, teacher had to initiate all communication and tutoring, teacher provided positive experiences (picture in school newspaper) Jocelyn Low sense of skill level, would come to school if her mom paid her. Often promised to do school work, rarely did. Developed understanding that she could learn algebra, tried when in class. Attendance problem, very social and self centered. Did academic work at home occasionally. Frequent calls home to keep parent informed of absentee would help get Jackie to school Elaine Teacher set firm limits for rude behavior, used inclusion, acceptance of student point of view, pairing with others Less problems, all in class work, small class so student could get additional attention, encouragement, multiple opportunities. Student had few needs. He would come to class if teacher called mother. Worked slowly, encouragement, explanation of alternative methods of receiving diploma Working with other students, allowing students to teach, extra time, belief in no child would be left behind. Student needed friendship, therefore frequently attempted to work with others 10/Mother kicked student out of house for smoking pot. He is poised to graduate from Adult School in December 09, needing 1 night class. 10/Is poised to graduate from Adult School in December 09, needing 2 night classes. Student moved out of the home in April, returned home in late May. 10/Is poised to graduate from Adult School in Sept, by using GED credits. Student lived with father, but father was frequently out of town. 54 Sharon Amy Good self efficacy level, when in class completed assignments accurately. Attendance problem Low academic self esteem, perfectionist, short concentration time, social, self centered. Often promised to do school work, rarely did. Tabatha Extreme math anxiety, no confidence. Short attention span Praise, inclusion, identification of Student writing career goal, on board and pairing with others explanation to other students, Acceptance and attention, student allowed to bring lap dog to class every day Allowed to work as a group, participated when ready, positive set up, success oriented Teacher identified and explained anxiety, worked one on one focus on wrestling with the math problems, not giving up, reducing anxiety 8.5/Dropped out on 18th birthday. Student was straight forward in her lack of desire for a HS diploma. Student explained only reason mom wanted her to finish HS was for the child support money. 9/ Is poised to graduate from adult School in Dec, needing 1 night class, but researcher doubtful student will follow through. 10/Graduated, student passed the California Exit Exam in May after 5 tries. 55 Student Interviews Interviews were conducted after the algebra class had finished, in February. Students were interviewed individually without peer interaction using an audio recorder. The teacher/researcher guided the interview with these three specific questions. Why do you think you did not pass your previous algebra classes? Was the teacher and classroom helpful to you as a learner? What strategies would have helped you learn? During the interviews students were encouraged to explain whatever came to their mind regarding previous algebra classes. As reported below, the students told their own stories. Table 5 Results of Interviews, Quoted from Students Kyle Self efficacy I have always been strong in math, due to the programming. I have had to do quantum physics, either its so simple or I am too distracted. In my first algebra class I thought I would have no problems, but if I had to write down all the steps, its long, and I got pissed off. Teacher behavior I was in special ed. It was a small class. It went pretty well; when I did the test I knew the answer to every question. It was a friendly classroom but we had disagreements between kids, things didn’t work with the students. The teacher gave a lot of homework; it was insane, like 200 problems a night. Learning strategies My parents knew I was smart in math; they looked at the Mensa test. Technically I have an IQ 50 points above brilliant. Its just the fact of my laziness and the horrible way they taught it. I have always had trouble focusing in here and there. I want to take geometry where the teacher teaches with you not at you. Students should be able to take short cuts, let students prove they know the steps. 56 John Jocelyn Elaine I hate school. When I was little and everyone was raising their hand, I just sat there quiet, (I’ve had) years of practice. I am normal in math, my dad is good in math, my mom is normal. I probably got my ability from my dad. I didn’t do good in large classes, not every kid gets help from the teacher. I started kindergarten a year early. I have always had a hard time in school. I would cry, get upset, my parents couldn’t help like the teacher. I would talk myself out of doing math, Oh this is way too hard. I couldn’t do homework by myself. My mom tried everything, she even poured water on my head to get me up to go to school. No one told me credits were important. I thought they would just pass me from year to year. I rejected school. The environment got in the way of learning. I didn’t ask questions, because I thought I would have to work harder, stay under the radar, you know. They all tried, I just didn’t want to do homework. I wanted to play and run around. If I just could do work in class, I would be fine. But they all wanted me to do extra stuff. My friends weren’t good students either. I was the worst one when I was younger. I was the instigator. She liked to put people on the spot, I would throw a fit and walk out. Tutor helped but that didn’t start until the end of the school year. I never saw a counselor except to help me choose classes. I must be shown and talked to at the same time, need to be shown and do it. I got worse in high school. The big classrooms were too big. I like one on one help. When I went to the private school, there were only 8 students and the teacher had time to help me learn. I earned 5 credits there. If a student needs help (a teacher should) offer it. If you offer enough times, a kid will take that offer. Be easy; give them time to catch on. Math was not my hardest class. My dad didn’t have time to keep track of me. He doesn’t understand girl’s emotions. He always said things would get better. They didn’t. 57 Tabatha I stopped doing math because I couldn’t get it. I hate math, too much thinking. I don’t like numbers. My mom didn’t like math either, it just wasn’t her subject. When people get around me I just rush or guess, I can’t focus if I am not one on one. Its not that I can’t stick with it, its more. I can do math, I am not stupid, I know how to do it. “When I see a test, I focus more on “I need to do this.” And get all mixed up. I think of more, like, how can I get this done in a hurry. If I am the last one done, oh that’s it. And I say, oh crap this is going in the grade book. Snider Middle School, I hate that school, it was big. We tried everything, Sylvan Learning Center, tutoring, Score -another tutoring place, my friends have helped me since 5th grade. I can learn but it doesn’t stick. When I get a paper it just goes whew. I say ‘I know this, and then I look at it and say ok, A’ (make a guess). I think I needed to learn math continually, and how to break it down. I like working one on one on the white board. Cumulative School Histories Students’ cumulative school histories contained varying amounts of information. Two students’ cumulative folders did not contain the number of student absences. Written comments from each grade level teacher were generally about attitude and suggestions for attitude improvement. Most cumulative school histories did not contain information regarding interventions in math, nor suggestions for specific learning strategies. The histories did contain some parental support information, such as divorce and communications with parents. Scores on state 58 standardized tests were always included, and the researcher compared these to class calculated grades. Following is an orderly assimilation of data found. Table 6 Analysis of Cumulative School History K-12 school history Kyle Emily John Student attendance and behavior Teacher comments positive or negative regarding student) Good Positive attendance, remarks, yet strong self Sharing & image. getting along Student with others a took problem medication for ADD in 5th - 7th. Attendance Positive, problem, student rec’vd felt “o”s in inferior in citizenship math until middle school, yet 4th “Bossy, Her way only”. Learning strategies: state assessments and grades Other themes Special Ed 5th grade, autistic, Proficient in ELA, average in math, grades were all over the place over the 12 years. 1. Parents divorce in k 2. began academic decline in 9th 3. attended 7 schools Special ed in 4th processing disorder writing, when student changes schools in 8th , mother does not disclose sp/ed need 1. Parents divorce in 4th 2. multiple PhysEd failure 3. began academic decline in 4th Attendance poor, Behavior trouble from k. Student took medication for ADD 5th - 7th. Consistently scores high on state assessments, yet middle school. teachers want him retained 1. lack of effort, energy in 3rd 2. meets father in 3rd 3. Mother kicked out at 18 years old Early teachers want him to listen, behavior “Roller Coaster” 59 Jocelyn Elaine Sharon Amy Attendance problem, Behavior trouble from k Attendance problem, Behavior problems from k Teachers have difficulty with Jackie’s disrespect Proficient in ELA, basic in math, low grades in math 1. A’s in PhyEd. Disrespect, no close contact with teacher Low scores especially in math, yet “very capable” 1. Parents divorce early, father custody 2. Suspended in 5th 3. attended 13 schools Attendance problem, excellent behavior until divorce, then behavior problem Attendance problem “Defiant” in 6th And stolen money in 11th Proficient and advanced scores in all grades on standard asseessments, yet teachers in middle school want to retain, low grades by teachers in upper years because no work was turned in 1. Heated divorce in 4th 2. Weight problem 3. continually failed PE Just below average, grades are C’s then in middle sch, drop lower 1. HS 5 years, then dropped out Parents alcoholics and violent 1. lived with mom and stepdad, until 10th 2. failed PE 3. focus became boys Teachers complain of too talkative and drama magnet Tabatha Attendance Problems with problems talking and until late focusing middle school, then good Basic in ELA and below basic in math, low grades in math, C’s in other Summary Students benefited in sharing thoughts and insight regarding the difficulty of learning algebra. Discussing the issue appeared to help students see the situation more clearly and led to higher cooperation during the algebra class. The students knew they 60 were part of a research project and the teacher/researcher believes this made them more inclined to be self reflective. Discussing and identifying students’ math difficulties also led to a feeling of hope for current success in the present algebra class. Seniors’ (12th graders’) maturity level increased as they went through the algebra class. This maturity could be due to normal adolescent development but the opportunity to reflect and make a statement, and contribute to research may have been a factor as well. Based on attendance and social skills, the cumulative folders identified six of the eight students as at risk in kindergarten. The two other students were identified in the third grade, coinciding with their parents’ divorce. The students never recovered or improved their standing. The teacher found the inquiry process invaluable for relating to high risk students. Understanding the background and perceptions of young adults for motivating, encouraging, and facilitating academic growth can not be understated as a tool. 61 Chapter 5 DISCUSSION, LIMITATIONS, RECOMMENDATIONS, AND CONCLUSIONS Discussion Interpreting “No Child Left Behind” means that every child will learn and graduate from high school. Teachers, schools, and families must work together with each individual student to ensure no child is left behind in mathematics. Identifying at risk students as early as possible, formulating and following a plan for each student, educating parents and student regarding the student’s deficits and strengths, are steps in improving the educational process. Social Problems The eight students researched in this algebra study had difficulty relating with their peers throughout their 12 years of school. Six of the students participating in the algebra class were “drama queens,” very needy of personal attention. To address that need, Kyle was given the role of student teacher and Amy was allowed to bring her lap dog to class each day. Emily was frequently at the white board showing off her work. Elaine was regularly peer tutored by classmates. Tabatha worked many hours individually with the teacher with a few peers hanging around. Jocelyn spent time in the class talking with peers, yet did not progress mathematically for lack of desire to do so. All but this one student learned and progressed in algebra when allowed to gain attention, and praise for their work (Davis, 2007). Two of the eight students were extremely quiet, “under the radar.” During their early years in school, the cumulative histories pictured these two students as out going, 62 friendly and leaders. Yet at middle school both became resigned to failure. For one student, Sharon, this shift in personality appeared to be caused from her parents’ heated divorce. The other student, John, shifted his attitude, it appears, from constant negative school authority issues (Linnenbrink & Pintrich, 2002). Interestingly, both students scored Advanced, the highest category, in math on standardized tests, yet teachers labeled them failures in math on report cards, wanting both students to repeat grades in middle school. Consequently, during middle school years, both students quit trying in school. Sharon explained that she attended high school just enough for her mother to continue collecting child support from her father, and dropped out of high school on her 18th birthday. The other student avoiding attention, John, was kicked out of his mother’s home before acquiring the last credit of algebra. He reappeared during the final two weeks of school, and earned the credits with individual teacher tutoring. His attitude was so negative regarding school he would not sign up for an adult school night class that would have assured him of a high school diploma (Zimmerman, 1996). Interestingly, his negative attitude was not towards education, remember he was classified as highly skilled, Advanced, on the standardized testing, but was negative towards school. His mother had badgered John throughout his school career to perform. She described him as, “The laziest person I have ever known.” He seemed very alone in the world. His mother was mostly absent and his sister had moved out. The mother and student had moved in his senior year to an adjacent town, away from where they had lived his entire life. His career goal was to join the military. The 63 researcher believes his need was to become part of a community, yet school had failed to fulfill this need (Glasser, 1997). Interestingly, level of intelligence was not the cause of the students’ situation. Social skills, attendance, attention span, personal attention needs, and family divorce prohibited eight students from succeeding to their intellectual best. These students had unique, complicated issues. It would take a special teacher with exceptional counseling skills, prolific background information, and abundant time for researching, to tackle and help solve these students’ issues with school. Personal Characteristics A defining personal characteristic of the student group was “stubbornness.” For example four of the students held their pencils in a non standard way. The students conveyed they had been told all their lives to hold the pencil in another manner, but expressed they wanted to hold it their way. All eight students had attitude problems with their peers. Previous teachers described them as bossy, disrespectful, having poor attitudes, having difficulty getting along with others. The students in this study had participated in four team building activities during the first nine weeks of school. The teacher/researcher believes this helped students realize each others’ strengths and helped them find value in their differences. Peer interaction was an issue in the algebra class but manageable due to the team building activities and the expectation of the teacher/researcher. 64 Learning Strategies Students again and again said they wished they could have earlier learned algebra in a small class setting, working together, at a pace everyone found acceptable (Kortering et al., 2005). Students in this study expressed they liked that tests were community tests, and that they were allowed to teach each other and talk. Students felt confident in the small algebra class that someone would help them understand how to do the algebra problems. During this small group algebra instruction in their final year of high school, focusing on the algebra problems was difficult for the students. The learning strategy most needed by them was to learn to wrestle with algebra problems, to stick with the problems and feel confident in the answer, to verbalize methods used in computing answers; to not quit (Hopkins, 2005). Students felt much more confident if they could have the answer confirmed by the teacher’s edition. Students were happy just marking the problems wrong; they didn’t want to take the time to figure out how to correct them. Students calculated their correct score and if it was above 69%, they were finished! Passing with 70% was all they needed. During the algebra tests, students were able to communicate strategies, answers, and share results, yet during the beginning of the year students did not talk during tests to each other, would not share, or check their work, probably due to previous habits during testing (Tanner & Jones, 2003). They also wanted to spend the least amount of time on the test. Talking to someone about the answers just meant spending more time talking math. To improve and motivate student discussion, the 65 teacher demanded that the tests have all the same answers and that the class receive 100% correct answers (Winstead, 2004). Students began to talk and share methods. Computation of the numbers rather than conceptualization of the problem solving method frustrated and demoralized students frequently. Slowly confidence was built, and students began to realize they could learn algebra (Epstein et al, 2008; Hopkins, 2005; Shipro, 1993; Turner et al., 1998). Teacher Behavior Not in journals, interviews, or observations, did any student express a feeling of connection to a previous math teacher. Most of the students did not like their math teachers and told wild stories of classroom life during math classes (Fullan & Hargreaves, 1996; Noddings, 2005). Many of the students did have teachers that they “liked,” though not math teachers. One student expressed exasperation with a teacher who gave a learning styles questionnaire then did not change the teaching style or assignments. This explains the importance of direct communication regarding learning strategies and assignments relating to different styles (Hopkins, 2005; Tanner & Jones, 2003). The connection would allow students to recognize their own strengths. The holes in mathematical skills were debilitating. When working in the small class, students and teacher/researcher were able to address gaps in learning (Turner et al., 1998), yet the time to truly master the incremental learning was not available to seniors. The teacher felt a sense of buoyancy when all students proved proficient at manipulation of negative numbers, yet this was only one fundamental layer of learning algebra. 66 Parental Support The cumulative school histories and the experience in algebra class revealed seven of the eight students had excessive attendance problems. It appeared the families learned how to stay under the reporting radar early in their child’s school career. One student in first grade had 26 absences, and then after truancy letters adjusted in second grade to 13 absences and 47 tardies, and in third grade to 13 absences and 23 tardies. This pattern continued throughout the student’s school career, and was a pattern similar to other students. Several female students had wads of notes in the cumulative folders to get out of Physical Education classes. For three students, the divorce of their parents coincided with absence problems that continued throughout the school history. A fourth student had severe absences up to middle school, then became interested in boys and no longer missed school. The researcher believes students did not have early patterns for school success. With five students, the teacher observed parent and student interactions where the student used verbal attacks to avoid being held accountable for school success. The parents did not fend off the attacks, but retreated. The eight students appeared to have no structured environment; no one was overseeing them, either because parents were working or because the students did not allow parental interaction. Parents were unable to make sure the student got to school. Parents were unable to ensure students did homework. All but two students were from divorced families. Often the parents responded to teacher phone calls with comments such as, “She said she is studying at home today.” Students’ family life had events that focused around non student issues, 67 such as acquiring roommates to help with the mortgage, a mother’s boyfriend, career and vacation plans for father, and parental health issues. Limitations The findings in this study cannot be generalized to the regular school population. Only eight students were studied. This number represented all the 12th grade students at an independent study high school in need of algebra credits for graduation. Therefore no comparable group was available. The students as a group lacked a multicultural perspective and were skewed toward the female gender with two boys and six girls, corresponding to this independent study high school’s total population of 15% Hispanic and 62% female students. The students were asked to look back on their school career and analyze and discuss what they remembered. Brain research shows memories to be inaccurate much of the time. “…episodic memory details are often fuzzy or even completely inaccurate, and…eye-witnesses of events are generally unreliable” explains brain specialist Patricia Wolfe (2001, p. 31). Also students may try to suppress negative memories. The timing also could account for a lack of awareness regarding events three years prior to questioning. The teacher was using a new text book to teach algebra. The state of California approved in November of 2007 certain books be used with students at risk of failing, therefore the independent study high school changed texts at the beginning of the 2008/2009 school year. In addition, the teacher/researcher had not taught algebra in a 68 small class setting before. Teacher/researcher prior experience had been with one on one tutoring. Another limitation was the cumulative school histories. The teacher/researcher assumed they would be comprehensive and convey a more complete picture of students’ needs and interventions. In fact, the cumulative folders varied greatly; some folders did not show a complete history of absences, few had more than one or two comments per year from the teacher. Occasionally the dates were not filled in on behavior reports. Only once did a student history include the type of math intervention tried with the child. Recommendations Teacher Behavior One student folder contained information from a Student Study Team meeting. The meeting was held in late spring, after a year of student versus teacher battles. The responsibility of the succeeding intervention was then put on the following year’s teacher. The next grade teacher may not have been aware of the Student Study Team meeting, as no follow up papers or responses were found in the folder. The student showed no improvement in behavior or grades. Another complaint of the teacher/researcher was the discrepancies found between subject grade given by the teacher and standardized testing grades. How could a student be recommended to repeat a year of school when they had scored Advanced in English/ Language Arts and Math? Given that teachers and administrators understand the controversy surrounding retention, how could teachers 69 and administrators have recommended retention in the face of such high scores on standardized tests? If standardized testing results are a school report card, should it not also be reflected on the student report card? The student knew the curriculum but did not follow the instructions regarding homework and work assignments; therefore the teacher gave a failing grade to the student. This happened to three of the eight students. Cumulative Folders Another situation compared a student’s performance in the classroom and on the standardized tests as congruent, but only at the Basic level of understanding the curriculum. What specific learning strategies were used to help the students in this situation? Nothing was noted in the cumulative folder. Recording, following and tracking the yearly interventions could drastically alleviate frustrations for the students and teachers. The researcher believes the cumulative folder is a tool that is underutilized. School districts have varied requirements for the folders with some districts using organized forms. One of the eight students’ folders listed small group learning as a strategy tried for Writing. No other cumulative school history mentioned learning strategies. The high school information consisted of only the standardized testing and report cards with computerized teacher comments. Additionally, rarely has the registrar at this independent high school seen teachers seek information from the cumulative folders except in Special Education circumstances. So, year after school year, the teachers gather and use information regarding learning strategies but do not 70 track or document that information for at risk individuals for use in the next school year. Consequently, the next year’s teacher starts all over. How frustrating for the student. If we are to truly leave no child behind, then an individual education plan for at risk students must be made, followed, and adjusted regularly. Currently this is the norm of students in need of Special Education services. The researcher believes students at risk of failure are also entitled to it under the No Child Left Behind Act of 2001. Research has identified at-risk students as early as the 6th grade level using attendance, failure of an academic class, and citizenship citations as criteria for accuracy to 86% of dropping out of high school (Balfanz, Herzog and MacIver, 2007) All of the eight students in this research project were identified as at risk by their social skills and attendance rates before the third grade. Parent Support Regular attendance is not just an educational issue but one of economics. The business community shows attendance as an essential attribute of a good employee. The absences and tardies for the students in this study appeared to be a pattern set in the early years of school, continuing throughout each year. Improved outreach to parents to instill the importance of attendance is vital. Additionally, two of the students began having problems in the classroom when their parents divorced. Acknowledgment and education of the risks facing children of divorcing parents conceivably falls with the schools. Learning Strategies 71 Diagnosing and implementing learning strategies that work for students is the first step in improving the attainment of mathematical knowledge for them. When students show hints of being at risk- when parents are divorcing, when student attendance rates are below average, when standardized tests are not congruent to teacher grades, when student social skills are in need of improvement- the educational system, under the No Child Left Behind Act of 2001, is liable to provide strategies that work for each individual student. Specifically, and of outmost importance is our atrisk youth. Conclusions We have all heard the statement ‘Do unto others as we would want them to do unto us’. And we have all heard it changed to ‘Do unto others as they would want us to do unto them’. Imagine a tofu turkey for the meat eater at Thanksgiving, and in contrast a steak dinner for the vegan. In education, the focus is on student learning. Every child can learn, and teachers can facilitate the learning, but it will take vast sums of tax money to enable schools the resources to ensure every child learns. Effective legislators and administrators, efficient teachers, supportive and knowledgeable families, and enlightened students are pieces in this complex puzzle. Until society is willing to fund a shift to individual education plans for at risk students, educators must continue to refine their craft. Rather than starting anew with students at the beginning of each school year, teachers can utilize an existing tool already in schools, the cumulative folders. Knowledge of learning strategies that have been tried and work for the student, teacher behavior that fits the learning needs of 72 each student and a record of continuing social and family issues for the new teacher to be aware of is essential for efficiency. It is the researcher’s experience that all children want to succeed in mathematics; and adults with students as partners must make sure they do. 73 APPENDIX A Consent to Participate in Research 74 Appendix A Consent to Participate in Research Maidu High School is participating in a research project exploring the algebra requirement for high school students. To participate in this research, your student will be participating and answering questions pertaining to their algebra experience through middle school and high school. The questions are formulated to discern why your student had difficulty in their first algebra classes. Your student will not be treated or taught differently if they do or do not participate in this research, but your permission to participate will be greatly appreciated. A copy of the questions asked will be provided upon request. Please sign below if your student may be included. At no time will their names be used or will they be identified in the research or findings without your explicit permission. A copy of the report will be given to you and your student upon request. I give, student name _____________________________________ permission to participate in the research study at Maidu High School regarding algebra requirement at middle school. Parent name ________________________________________________ Date ______________________________________________________ 75 APPENDIX B Student Journal Questions 76 Appendix B Student Journal Questions Student Name _____________________ Today’s date____________ Algebra 1 Close your eyes, relax, we are going to go back in time to your first algebra class. There are noises, feelings and stress with this first algebra class experience. Reflect for a minute of two. As you open your eyes, please jot down a few of your first memories. Then answer the questions regarding elements of learning in this research packet as fully as possible. Quick write of memories: What grade were you in?______ What school?_______________ Room Setting Think about the way this classroom: grouped or rows of desks, approximate number of students, posters on the wall, noisy, early in the morning or later in the afternoon. Describe what your classroom was like: Did the teacher have classroom control? Teaching Strategies Think about your daily routine in this class. What did you like and not like about the way this teacher taught math. I liked……. I didn’t like…… Student Engagement Was the class easy to be involved in? Think about your commitment to learning, your homework level and how you felt. Compare how you did in this class to how you did in other classes at that time. Fractions are a big part of algebra, did you do ok with fractions? 77 Student Maturity Level How would you describe your maturity level at this point in your life? Give an example or two. Example: Family Support How did your family help and/or hinder you during this time in school? 78 REFERENCES Balfanz, R., Legters, N., & Jordan, W. (2004). Catching up: Effect of the talent development ninth grade instructional interventions in reading and mathematics in high poverty high schools. NASSP Bulletin, 88(641), 3-30. Balfanz, R., Herzog, L., & Mac Iver, D. (2007). Preventing student disengagement and keeping students on the graduation path in urban middle grades schools: Early identification and effective interventions. Educational Psychologist, 42(4), 223-235. Bandura, A., & Locke, E. (2003). Negative self efficacy and goal effects revisited. Journal of Applied Psychology, 88(1), 87-99. Bogdan, R., & Biklen, S. (1998). Qualitative research for education; An introduction to theory and methods. Boston. Allyn and Bacon. Business Higher Education Forum. (2006). Congressional response to ensuring America’s competitiveness. Washington, DC: Author. Cavanagh, S. (2008). Experts question California’s algebra edict. Education Week, 27(44), 1-13. Davis, S. (2007). Effects of motivation, preferred learning styles, and perceptions of classroom climate on achievement in ninth and tenth grade math students. Unpublished dissertation, University of Florida, Gainesville, FL. Dewey, J. (1897). My pedagogic creed. The School Journal, LIV(3), 77-80. Retrieved March 3, 2009, from http://www.infed.org/archives/e-texts/e-dew-pc.htm 79 Epstein, M., Atkins, M., Cullinan, D., Kutash, K., & Weaver, R. (2008). Reducing behavior problems in the elementary school classroom: A practice guide (NCEE#2008-012). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education, Retrieved July 23, 2009 from http://ies.gov/ncee/wwc/publications/practiceguides Fullan, M., & Hargreaves, A. (1996). What’s worth fighting for in your school? New York: Teachers College Press. Furner, J., Yahya, N., & Duffy, M. (2005). 20 ways to teach mathematics: Strategies to reach all students. Intervention in School and Clinic, 41(1), 16-23. Glasser, W. (1997). A new look at school failure and school success. Phi Delta Kappan, 78(8), 596-613. Hoff, D. (2003). Federal law bolsters case for aid suits. Education Week, 23(5), 1-20. Hopkins, G. (2005). How can teachers develop students’ motivation- and success? Education World. Retrieved January 12, 2009, from http://educationworld.com/a_issues/chat/chat010.shtml House, J., & Telese, J. (2008). Relationships between student and instructional factors and algebra achievement of students in the United States and Japan: An analysis of TIMSS 2003 data. Educational Research and Evaluation, 14(1), 101-112. Katz, V. (2007). Stages in the history of algebra with implications for teaching. Educational Studies in Mathematics, 66, 185-201 80 Ketterlin-Geller, L., Chard, D., & Fien, H. (2008). Making connections in mathematics: Conceptual mathematics intervention for low performing students. Remedial and Special Education, 29(1), 33-45. Kortering, L., deBettencourt, L., & Braziel, P. (2005). Improving performance in high school algebra: What students with disabilities are saying. Learning Disability Quarterly, 28, 191-203. Leedy, P., & Ormrod, J. (2004). Practical research: Planning and design. Upper Saddle River, NJ: Prentice Hall. Lesh, R., & Lehrer, R. (2006). Modeling students modeling abilities: The teaching and learning of complex systems in education. The Journal of the Learning Sciences, 15(1), 45-52. Lester, T. (2007). Math matters. Retrieved January, 12, 2009, from http://www.wested.org/pub/docs/625 Linnenbrink, E., & Pintrich, P. (2002). Motivation as an enabler for academic success. School Psychology Review, 31(3), 313-327. Lyons, N., & LaBoskey, V. (2002). Narrative inquiry in practice: Advancing the knowledge of teaching. New York: Teacher’s College, Columbia University. Mazzocco, M. (2005). Challenges in identifying target skills for math disability screening and intervention. Journal of Learning Disabilities, 38(4), 318-323. Merriam, S. (2001). Qualitative research and case study applications in education. San Francisco. Jossey-Bass Publishers. 81 Middlewood, D., Coleman, M., & Lumby, J. (1999). Practitioner research in education: Making a difference. London: Paul Chapman Publishing Ltd. Myslinski, M. (2008, September). QEIA training a big hit at summer institute. California Educator, 32-33. Myslinski, M. (2009, February). Ruling halts 8th grade algebra testing. California Educator, 29-31. Noddings, N. (2005). Caring in education. Encyclopedia of informal education. Retrieved April 3, 2009, from www.infed.org/biblio/noddings_care-ineducation.htm Pajares, F. (2002). Gender and perceived self-efficacy in self-regulated learning. Theory into Practice, 41(2), 116-125. Pintrich, P. (1999). The role of motivation in promoting and sustaining self regulated learning. International Journal of Educational Research, 31, 459-470. Pintrich, P., & deGroot, E. (1990). Motivational and self regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40. Robelen, E. (2009). Obama echoes Bush on education ideas. Education Week, 28(28),18-19. Ruffins, P. (2007). A real fear. Diverse Issues in Higher Education, 24(2), 17-19. Shipro, S. (1993). Strategies that create a positive classroom climate. Clearing House, 67(2), 91-98. 82 Spradley, J. (1980). Participant observation. Orlando, FL. Holt, Rinehart and Winston, Inc. Tanner, H., & Jones, S. (2003). Self-efficacy in mathematics and students use of selfregulated learning strategies during assessment events. International Group for the Psychology of Mathematics Education, 4, 275-282. Turner, J., Cox, K., DiCintio, M., Meyer, D., Logan, C., & Thomas, C. (1998). Creating Contexts for involvement in mathematics. Journal of Educational Psychology, 90(4), 730-745. Van Grinsven, L., & Tillerna, H. (2006). Learning opportunities to support student self regulation: Comparing different instructional formats. Educational Research, 48(1), 77-91. Vannest, K., Temple-Harvey, K., & Mason, B. (2008). Adequate yearly progress for students with emotional and behavioral disorders through research based practices. Preventing School Failure, 53(2), 73-84. Weinstein, C., Ridley, D., Dahl, T., & Weber, E. (1989, December/January). Helping students develop strategies for effective learning. Educational Leadership, 1720. Winstead, L. (2004). Increasing academic motivation and cognition in reading, writing, and mathematics: meaning making strategies. Educational Research Quarterly, 28(2), 30-48. Wolfe, P. (2001). Brain matters: Translating research into classroom practice. Alexandria, VA: Association for Supervision and Curriculum Development. 83 Zimmerman, B. (1996). Enhancing student academic and health functioning: A self regulatory perspective. School Psychology Quarterly, 11(1), 47-66. Zimmerman, B., & Martinez-Pons, M. (1988). Construct validation of a strategy model of student self –regulated learning. Journal of Educational Psychology, 80(3), 284-290.