Effect of motivational beliefs and self
Transcription
Effect of motivational beliefs and self
App. Sci. Report. 10 (1), 2015: 1-7 © PSCI Publications Applied Science Reports www.pscipub.com/ASR E-ISSN: 2310-9440 / P-ISSN: 2311-0139 DOI: 10.15192/PSCP.ASR.2015.10.1.17 Effect of motivational beliefs and self-regulated learning strategies on achievement motivation of student in physical education schools (Application of structural equations) Ali Abbas Hossein Nejhad*, Mostafa Hosseinimehr 1. Master of Science in Physical Education and Sports Teacher of Kermanshah Education, Iran. 2. MS student of Science in Consultation, Kermanshah Razi University, Iran. *Corresponding Author email: [email protected] Paper Information Received: 14 November, 2014 Accepted: 18 February, 2015 Published: 20 April, 2015 Citation Abbas Hossein Nejhad A, Hosseinimehr M. 2015. Effect of motivational beliefs and self-regulated learning strategies on achievement motivation of student in physical education schools (Application of structural equations). Applied Science Reports, 10 (1), 1-7. Retrieved from www.pscipub.com (DOI:10.15192/PSCP.ASR.2015.10.1.17) ABSTR ACT Objective: The aim of this study was to investigate the influence of motivational beliefs and self-regulated learning strategies on achievement motivation of students in physical education schools. Methods: In terms of the nature, this study is a quantitative research (descriptive - correlation) and is applied in terms of objective. The study populationis all students in physical education schools of the West provinces (Kermanshah, Kurdistan, and Hamadan) during academic year of 2012-2013. 285 students were selected as the sample where the statistical operations have been carried out on 254 questionnaires due to the incomplete or not submitted questionnaires. Measuring tools: self-regulated learning strategies questionnaire: this questionnaire was designed by PentrichVedigrot (1990). Navidi, in 2004, turned it into Persian. The questionnaire consisted of two parts: motivational beliefs (22items) and self-regulated learning strategies (22items). Total items of this scale is 44. Motivational beliefs scale includes three parts ofefficacy test, valuation, and anxiety of exam. Selfregulated learning scale includes2 parts of the use of cognitive and metacognitive strategies test within five options (ranging from totally disagree to totally agree). In this study, a stratified proportional sampling was used. Hermen’s questionnaire was used in achievement motivation. The questionnaire consisted of 29 4-choices questions used to measure the achievement motivation level. The scores higher than average indicate high achievement motivation in the individual, and the scores lower than average indicate low achievement motivation. Sheikh Fini (1994) achieved the reliability of these tests of 0.84 through Cronbach’salpha. Cronbach's Alpha was used to estimate the reliability of the questionnaire. For this purpose, a total of 30 copies of the questionnaire was completed by a part of research population; and after the data processing, Cronbach's Alpha coefficient was calculated for items and mentioned questions. Total of 254 questionnaires were completed perfectly (response rate = 91%). After thedata completion, coding operations, information extraction and transferring them on computerwere performed. After data processing, statistical computation (descriptive and inferential)was carried out by SPSS 15 and AMOS. Discussion and Conclusion: The results indicate that there is a significant difference between self-regulated learning strategies and motivational beliefs among male and female students; motivational beliefs will explain 28 percent of the variation in achievement motivation; cognitive and meta-cognitive strategies also 32 percent ofthe variations in between. © 2015 PSCI Publisher All rights reserved. Key words: cognitive strategy, meta-cognitive strategy, achievement motivation, physical education, AMOS Introduction Sports education is one of the newest sciences that attempts to provide the possibilities for success and progress of the youth by using different sciences. One of the factors affecting on sports education is achievement motivation. Achievement App. Sci. Report. 10 (1), 2015: 1-7 motivation is considered as an important social incentives and one of personal features of each person that is different from one to another; and certain behaviors can be predicted according to. Achievement motivation is a tendency to evaluate ourselves’ performance comprehensively regarding to the highest standards, striving for successful performance, and enjoyment of the pleasure associated with successful performance. Need for achievement; is the desire to do the works well compared to a standard criteria. The need motivates people to search out the successin competition with excellence criteria. What is common in all achievement situations, is that the person knows his future performance is a meaningful evaluation of his individual competency. Standards of excellence motivate the need for achievement due to providing the most significant arena for evaluating the competency of the person. During lasttwo decades, experts of education and training have paid more attention to the factors affecting achievement especially motivation and cognition. One of the theories that were studied in this research is the theory of self-regulated learning. Accordingly, the main framework of this theory is based on the belief that how learners organize their learning in terms of meta-cognitive, motivational and behavioral beliefs. Chalawat and Dibikz (2005), argue that self-regulated learning occurs when individuals actively participatemeta-cognition, motivation and behavior fields in their learning process. Mind map strategies helps learners to justify assignment, focusing on important assignments, organizing materials and maintaining a productive kind of psychology to learn. Zimmer Man (2010 ), as one of the theorists of cognitive social theory, defined , self-regulated learning strategiesas a form of learning in which the learners rely on their own efforts instead of teachers, parents and other educational agents to acquire knowledge and skills. Motivational beliefs Self-regulation learning strategies Metacognitive strategies Anxiety of exam Cognitive strategies Internal valuation Selfefficac Figure 1. Pentrich and Digrout (1992) have proposed the following model for self-regulated learning. According to this mode, the self-efficacy of thestudents’ beliefs on their own abilities, intrinsicvaluation (the attention student pay to an assignment or a certain lesson)and anxiety of exam, a specific emotional mood experienced in formal tests or evaluation situations, are considered as motivational beliefs, cognitive and metacognitive processes as self-regulated learning. Cognitive processes are learning strategies that improve educational performance of learners by facilitating the process of learning. Metacognitive beliefs as well pointed out the processes of planning, monitoring and correction of cognitive activities. McKeland believes that the achievement is one of the personalities, finding which depends on parent’s training methods. He says that, those with high motivationare grown in the environments in which they are expected for competency. They are given independency in low ages. There is little authoritarianism and are free from maternal domination. Educational achievement is the speed of students to complete their basics and different degrees; and is measured according to the amount of its disability or retardation rate. Generally, self-regulated learning is an important issue for human learning and educational psychologies emphasize on actively participation of learners in the learning process instead of passive learning experience. Self -regulation has various definitions. According to the definition of Zimmerman and Shank (1998) self-regulation learning includes the processes that lead to the activation and the maintenance of cognitive, behavioral and emotional activities, which are directed towards achieving the goal. The purpose of self-regulation is that, the students have their own design, monitor,and assess of learning skills and are tended to learn, and also evaluate all monitoring and learning process. Self-regulation ability allows people to control and monitor their behaviors, measure them by their criteria, and applies for strengthen themselves and others. Using self-regulated learning strategies can help student achievement. Self-regulatory strategies includesmotivational, cognitive, meta-cognitive and resource management beliefs; these strategies are correlated significantly with Mathematics Education. More and more use of self-regulatory strategies, will do better in tasks.Reports show that, the students who are more aware of these strategies and use them, and also have got more educational motivation or motivational beliefs including self-efficacy, 2 App. Sci. Report. 10 (1), 2015: 1-7 higher intrinsic valuation, and less stress of exam have achieved significant successes. Fattahi (2008) in an experimental research, compared cognitive and metacognitive strategies, and concluded that there is a significant difference between passing the courses of cognitive and metacognitive strategies and students’ learning performance. The findings of this study show clearly that strategic behavior increases learning. In a research by Lee (2010) self-regulated learning strategies has been effective both on the satisfaction of learners and their educational performance; the learners in learner-oriented learning environment had more self-regulated learning strategies than the learners in space-oriented or teacher-oriented environments. Mebouti (2008) showed in a research that, most of the students who can regulate and control cognitive, motivational and behavioral aspects of their educational performance, have been as a successful learner. These findings indicate that selfregulated learning is a predictor of educational success and performance; and the learnersmust learn how to regulate their performance and maintain their objectives, despite of difficult homework to achieve educationalsuccess. Given the importance of self-regulatory strategies in learning, this research was to determine the effectiveness of training self-regulated strategieson achievement motivation of the students in physical education schools. And the main question was whether training selfregulation strategies affect achievement motivation? And accordingly, research hypothesis was that: self-regulation strategies increases students’ achievement motivation. With respect to the subject and variables, total of 2 questions have been considered for the study. 1- Whether components of self-regulation strategies has an effect on student achievement the motivation? 2- Whether components of motivational beliefs affect students’ achievement motivation. Materials and Methods In terms of the nature, this study is a quantitative research (descriptive - correlation) and is applied in terms of objective. Since the study aims to investigate the influence of motivational beliefs and self-regulated learning strategies on achievement motivation of students in physical education schools, descriptive – correlation method has been used. The study population is all students in physical education schools of the West provinces (Kermanshah, Kurdistan, and Hamadan) during academic year of 2012-2013. 285 students were selected as the sample, where the statistical operations have been carried out on 254 questionnaires due to the incomplete or not submitted questionnaires. Measuring Tools Self-regulated learning strategies questionnaire This questionnaire was designed by Pentrichand Digrout (1990). Navidi, in 2004, turned it into Persian. The questionnaire consisted of two parts: motivational beliefs (22 items) and self-regulated learning strategies (22 items). Total items of this scale is 44. Motivational beliefs scale includes three parts of efficacy test, valuation, and anxietyof exam. Selfregulated learning scale includes 2 parts of the use of cognitive and metacognitive strategies test within five options (ranging from totally disagree to totally agree). In this study, a stratified proportional sampling was used. The investigations of Pentrich and Digrout (1990)to determine the reliability and validity of the questionnaire showed that, reliability power for triple factors of motivational, i.e. self-efficacy, intrinsic valuation, and anxiety of exam is respectively 0.82, 0.87, and 0.75; and for 2 factors of self-regulation learning strategies scale, i.e. cognitive and metacognitive strategies is respectively 0.89 and 0.74. Hermen’s questionnaire was used in achievement motivation. The questionnaire consisted of 29 4-choices questions used to measure the achievement motivation level. The scores higher than average indicate high achievement motivation in the individual, and the scores lower than average indicate low achievement motivation. Sheikh Fini (1994) achieved the reliability of these tests of 0.84 through Cronbach’s alpha. Cronbach's Alpha was used to estimate the reliability of the questionnaire. For this purpose, a total of 30 copies of the questionnaire was completed by a part of research population; and after the data processing, Cronbach's Alpha coefficient was calculated for items and mentioned questions. Total of 254 questionnaires were completed perfectly (response rate = 91%). After the data completion, coding operations, information extraction and transferring them on computer were performed. After data processing, statistical computation (descriptive and inferential) was carried out by SPSS 15 and AMOS. Findings According to the findings, 43% of the respondents weremale and 57% were female. The age distribution of the respondents indicate that most of themare at 14-18 years of age. (Table1). Results in Table 2 indicate that only 32 percent of respondents are active in club (team member) and in contrast, 30% of them have Championship (Table 2). Table 1. Frequency distribution by age Age Less than 16 16-18 Above 18 Total Frequency 70 54 52 254 Percentage 27.56 21.25 20.48 100 3 App. Sci. Report. 10 (1), 2015: 1-7 Table 2. Frequency distribution based on history and club championships 4 Club activities 5 Championship history Yes No Yes No 83 171 78 176 32.76 67.33 30.7 69.29 The result of Table3 shows that there is a positive and 5% significant relationship between age and the achievement motivation. In other words,the more is the age, the levels of achievement motivation will be more. The results of Table3 also indicate that there is a positive and 5% significant relationship between the variables of championship history, cognitive and metacognitive strategies, self-efficacy, and anxiety of exam, intrinsic valuation, and achievement motivation. Thus it can be stated with 95% confidence that the higher the degree of respondents' use of self-regulatory strategies is more, much more achievement motivation is reported. Table 3. Relationship between independent variables with the level of incentives of respondent's development Variable Age Club activities history of Championship Cognitive strategies Metacognitive strategies Self-efficacy Anxiety of exam Internal valuation r 0.245 0.232 0.421 0.265 0.231 0.276 -0.221 0.489 Sig 0.124 0.021 0.120 0.031 0.022 0.024 -0.038 0.025 To compare the two groups in terms of self-regulation strategies, the results are shown in Table 4. The results showed that there are significant differences between the views of boys and girls on the self-regulated learning strategies and motivational beliefs at 95% level. The girls are employing cognitive strategies than boys; and the boys usemetacognitive methods, anxiety of exam, self-efficacy and intrinsic valuationmore girls. In other methods, there is no significant difference between boys’ and girl’s perspectives. Table 4. Comparison of Girls 'and boys' attitudes towards self-regulated learning strategies and motivational beliefs No Compared method 1 2 3 4 5 cognitive strategy Metacognitive strategies Anxiety of exam Self-efficacy Internal valuation The second group compared Boy Girl Average Average 65.8 89.3 86.4 68.3 85.1 70.8 79.7 65.2 96.9 57.6 F Sig 2946.3 2946.3 3059.5 1526.5 12184 0.028 0.519 0.009 0.001 0.000 Figure (2) shows direct and indirect effects of self-regulatory strategies and motivational beliefs on dependent variable of achievement motivation. Among 5 variables constituted self-regulated learning entered in the model, the relationship between the five independent variables and the dependent variable was significant,which is shown in the figure. Q-square obtained in the model shows that there is no significant difference between sample and observed variance covariance matrix. Fitting indices of NFI, CFI and TLI models were respectively, 096, 0.98, and 0.96, which represents goodfitting of the model. The value of RMSEA equals to 0.02, which is smaller than 0.05and shows good fitting, so the model is confirmed. Based on the extracted model, there is a direct relationship between self-efficacy and achievement motivation (r=0.15). It seems that students with higher self-efficacy are better able to progress. This area provides context for greater success than others. The second independent variable is the intrinsic valuation; this variable is also directly relatedto the dependent variable (r =0.13). Another variable that has a direct effect on the dependent variable is exam anxiety; there is a negative relationship between these two variables (r= -0.20). In this regard, it can be concluded that more students are anxious for the exam, negative effects on students will be more equally. Self-regulated learning strategies have significant and positive impact on student achievement motivation changes respectively(r=0.14) (r=0.18). Table 5. Independent variable Motivational beliefs Self-regulated strategy Direct effects 0.28 0.32 Indirect effects 0.087 - Total effects 0.32 0.32 4 App. Sci. Report. 10 (1), 2015: 1-7 According to the results of table5, motivational belief is effective on students’ achievement motivation by 0.36 beta coefficient; better saying, a unit change in standard deviation causes achievement motivation’s standard deviation to be changed by 0.36. Self-regulation strategies also have positive effects on students’ achievement motivation by 0.321; so that a unit change in standard deviation causes achievement motivation’s standard deviation to be changed by 0.321. Figure2. The relationship between self-regulation strategies and motivational beliefs on students’ achievement motivation Selfefficacy 0.15 Intrinsic e-1 0.13 valuation 0.11 0.2 0- Achievement motivation Exam stress 0.1 4 0.35 Cognitive strategy 0.18 Metacognitive strategy 0.14 e-2 Figure 2. Chi-square = 2/41, df = 2, NFI = .94, CFI = .98, TLI = .96, RMSEA = .02 Discussion and Conclusion Education in the 21st century attempts to take an approach in which a deeper attention must be paid to the roles of self-regulated learning strategies as main axis of learning, because the new ICT as an exciting factor of innovation has provided the facilities by the changes in different human civilizations that converted training approach to learning. Given this context, the role of self-regulation strategies becomes more important than ever.Making students motivated and interested in learning educational activities in education system through cognitive and metacognitive strategies is an issue have to be more noticed by the officials of education system. The findings of this study is response to the research questions showed that metacognitive strategies (repetition and review, semantic expansion, and organization) have the most effect on achievement motivation of the learners. There is a significant difference between the role of cognitive strategies, self-efficacy, exam stress, and intrinsic valuation among girls and boys; this difference can be due to attention to physical and social situations of the two groups. Data analysis showed that: the hypothesis; i.e. training self-regulated strategies and motivational beliefs increase 5 App. Sci. Report. 10 (1), 2015: 1-7 achievement motivation of students, is confirmed. The effectiveness of using self-regulated strategies to increase achievement motivation has been reported by several authors such as Yang and Lini (2010), Akar and Aktamis (2010), Dermitzaki, Yondari, and Godas (2009), Ohoso and Vakgenat (2009), MC Donald and Palfy (2008), and Croner and Birman (2007). This conclusion is consistent with the findings of other researchers such as Ansari (2008), Ali Aghdam (2008), Varzdar (2009), Fattahi (2008), and Emadi (2007). In the present study, the relationship between championship history and achievement motivation was not significant, while other researches indicated that expert champions have higher achievement motivation rather than ordinary athletes. While Bakhtiar Poor believes that there is no significant relationship between age and achievement motivation. This result was approved in the present research, and there was no significant relationship between these two. Motivational beliefs variables with beta coefficient of 0.36 are effective on achievement motivation of students. In other words, a unit change in standard deviation causes achievement motivation’s standard deviation to be changed by 0.36. Self-regulation strategies also have positive effects on students’ achievement motivation by 0.321; so that a unit change in standard deviation causes achievement motivation’s standard deviation to be changed by 0.321. The differences between girls and boys on self-regulation learning strategies, the results showed that there is a significant relationship between self-regulated learning strategies among girls and boys. This finding is not consistent with the findings of researches by Pentrich and Digrout (1990), Andreman and Yang (1994), and Kojov, Molavi, and ShiraziTehrani (2003). Regarding to the findings of the study, it is recommended to use educational strategies in order to improve achievement motivation level in students as follows: Directing students in setting realistic targets according to their abilities. In this regard, the interaction of parents with educational supervisors to coordinate educationalprograms, both in educational and home environment is necessary. Not easily discouraged in the face of failure. Encourage parents to perform realisticassessment of their children’ capabilities and having rationale expectations Verbal persuasion that is effective method in increasing the confidence of individuals; the parents are alwaysadvised to use of self-regulated learning strategies. Encourage students to rely on their abilities and not merely to encourage others. Teaching students to focus on the objective and careful planning to achieve it. To convince students about the importance of giving performance feedback and not human feedback; since developmental psychologistsbelieve that creatingintrinsic motivation is a powerful factorforcognitive development of individuals. Attention of officials to prepare appropriate curriculum based on cognitive and psychological conditions of students that can absorb them to the curriculum, so they can focus on their assignments by their own natural intentions and will less attention to the external awards of teacher or his motivating methods. Discovery learning is effective in this regard. Since the quality of achievement motivation is different in various stages of growth and evolution; introduction to the basics of evolutionary psychology on motivation is necessary for the officials of education Department; and its prediction is one of fundamental basis of educational and sports planning. Training responsible can achieve more significant successes in growth and developmentby paying attention to annual changes of textbooks which is followed by the improvement of achievement motivation of students. References Acar EG, Aktamis H.2010. The relationship between self –regulation Strategiesand Prospective elementary school teachers’ Academic achievement in mathematics teaching course.Procedia social and behavioral sciences, 2, 5539-5543. Ahmadi A, Garossi Momeni M, Sheikh Alizadeh S.1385.Evaluation factors Self-esteem of students.Journal of Education - University of Tabriz , the first year. Ali Aqdam A.1387.Goal orientation and self-regulated learning strategies training effectiveness in first grade high school students. PhD thesis in the field of Science Education, University of Allameh Tabatabai tub. Amini Sh.1385.Standardized questionnaire as self-regulated learning competence of the program students Master of the letter. Discipline of psychology. Faculty of Psychology and Educational Sciences, Allameh Tabatabai University. Ansari M.1387.Integrated strategies to increase the effectiveness of self-regulation of academic motivation and self-efficacy beliefs and motivation of first year high school students Khandab city.M.Sc. Thesis valid general poor Bryant P.2009. Self regulation and maral awareness among entrepreneurs. Journal of Business Venturing. 24, 505,518. Chamorro B, Moutafy M, Farenham A.2005. Psychological characteristics of academically gifted and regular stuidents. American council on university of Nebraska-Lincoln Cohen L, Manion L.2000. Research methods in education (5td Ed). London:Routledge. Dermitzaki I, Leandari A, Goudas M.2009. Relations between young student's strategic behaviours, domain-specific self-concept, and performance in aproblem-solving situation. Learning and Instruction, 19,174-157. Fattahi S.1387. Comparison of cognitive strategies in learning the basics of ICT in secondary school female students in Kermanshah,Master of the letter of Islamic Azad University of Kermanshah Gill DL.1993. Competitiveness and competitive orientation in sport. In: Singer RN, Murphey M, Tennant LK, editors .Handbook of research on sport psychology. Macmillan: 1993: 314-27. Haqshenas H, Chamani A, Firoozabadi A.1385. Comparing the characteristics of personality and mental health final high school students and high school gifted and normal final. Quarterly Journal of Fundamentals of Mental Health - eight years. Numbered twenty- nine and thirty. Hatzigeorgiadis A, Zourbanos N, Mpoumoaki S, Theodorakis Y. 2009.Mechanisms underlying the self-talk-performance relationship: The effects of motivational self –confidence and anxiety. Psychology of Sport and Exercise, 10, 186– 192. 6 App. Sci. Report. 10 (1), 2015: 1-7 Jalali A, Arif M.1388. Comparing gifted and ordinary , and the role of autonomy and Dan Predictive of academic performance of students in Shiraz Journal of Research in Educational. Sciences. Jalilvand M, Beige A.1374. Comparison of characteristics of giftedness Talent Center brilliant and a final high school in Tehran. Magazine Talent 1374, Year IV , No. 30 Kajbaf MB, Mulavi H, Shirazi AR.1382. Investigate the relationship between motivational beliefs Learning Strategies regulated and academic performance of high school students , Journal of Science of the pelvis. Cognitive, Year 5, Issue 1. Karami.1384.http://www.afarinesh-daily. Com/afarinesh. News. Kroner S, Biermann A.2007. The Relationship between confidences and self –concept towards. A model of response confidence. Intelligence, 35, 580-590. Linenbrink EA, Pintrich PR.2004. Motivation as enabler of academic success, school psychology Review. 31313-327. MacDonald A, Palfi T. 2008. Predictors of exercise behavior among university student women: Utility of a goal – systems / self – regulation theory framework. Personality and Individual differences,44, 921 – 931. Maleki B. 1390. The relationship between self-esteem and achievement motivation, sports, hunting, successful and unsuccessful MS Thesis shahid Beheshti University college of Physical Education Nikos M, George P.2005. Student's motivational beliefs, self –regulation strategies use, andmathematics achievement, Group for the psychology of mathematics Education, Vol, 3, pp. 321-323. Owosso V, Weickgenannt A. 2009. Auditors self-perceived abilities in conducting domain audits. critical persepectives on accounting, 20, 3-21. Peak B, Miller Ch.2010. I think I can, I think I can, I think I can.I know I can multi-user virtual environments(moves)as a means of developing competence and confidence in undergraduate nursing.2, 4571-4575. Pintrich Paul greed, Shank H. Dale. 1385. Motivation in education. Translated by M. Shahreyari. Tehran : Publication science. Pintrich PR, DeGroot EV.1992. motivational and self-regulated learning components of dassroom academic performance journal of Educational psychology, 82,33-40. Rahimizadeh Y.1381. Investigate the causes of academic failure high school mathematics students in the hamedan province. Seyf AA. 1386.Modern educational psychology. Psychology of teaching and learning (Sixth Edition). Tehran : Publication time. Sheikh Finney AA.1373. Investigate the relationship between achievement motivation, locus of control and academic achievement in high school student s in Bandar Abbas Master of the letter. Discipline of psychology. Faculty of Humanities, Tarbiat Modarres University. Sobhaninejad M, Abedi A.1385. Examine the relationship between self-regulated learning strategies And Motivation average student achievement around the city with their academic performance in math, Journal - Research admissibility poor Tabriz University. First year – the numbers. Spring 1385 Sohrabi shegefti N.1388. Examine the cognitive , motivational and personality as predictors of Talent martyr Chamran University. A PhD in a lawful permanent poor , Ahvaz, martyr Chamran University, School of Education and Roy poor. Swalander L, Taube K. 2007. Influences of family based prerequisites, reading attitude, and self-regulation on reading ability, 32, 206-230. Unierzyski P. 2003. Level of Achievement Motivation of Young Tennis Players and Their Future Progress. Journal of Sports Science and Medicine, 2: 184-6. Varzdar F.1388. Effects of meta cognitive strategy training on academic achievement in mathematics Branch city junior high school girls in the first grade. MA thesis, University of Allameh Tabatabai planning. Wartenberg L, McCutcheon L. 1998. Further Reliability and Validity of Data on the Sport Orientation Questionnaire .Journal of Sport Behavior; 21(2): 21-3. Young K, lenne M. 2010. Driver Engagement in distracting activities and the strategies used to minimize risk. Safety Science, 48,326 – 332. Zimmerman BJ.2010. Constrat validation of a strategy model of student self regulated learning, Journal of Educational Psychology, 80. Zimmerman S, Shank A. 1998.Student differences in self regulated learning.Journal of Educational Psycholohgy.80, 51-59. Zimmerman S, Shank A. 1998.Student differences in self regulated learning. Journal of the psychology of mathematics Education, Vol, 3, pp. 321- 328. Melbourne: PME. 7