This study of 1,601 students in the middle years of schooling (Grades 5-8, each student measured twice, 1 year apart) from 200 classrooms in 44 schools sought to identify factors explaining gains and declines in mathematics engagement at key transition points. In multilevel regression modeling, findings showed that compared with Grade 6 students (upper elementary; the reference category), students in Grades 7 (typically the first secondary school year) and 8 have significantly declined in mathematics engagement from their previous year. Notably, in further analyses, these declines were found to be related to student (particularly mathematics self-efficacy and valuing), home (parent valuing of mathematics and availability of a computer for mathematics), classroom (class-average achievement and perceived climate), and school (socio-economic status and ethnic composition) factors. Implications for research and practice are discussed.

Ainley, M., Corrigan, M., Richardson, N. (2005). Students, tasks, and emotions: Identifying the contribution of emotions to students’ reading of popular culture and popular science texts. Learning and Instruction, 15, 433-447.
Google Scholar | Crossref
Ames, C. (1992). Classrooms: Goals, structures, and motivation. Journal of Educational Psychology, 84, 261-271.
Google Scholar | Crossref | ISI
Anderman, E. M., Anderman, L., Yough, M., Gimbert, B. (2010). Value-added models of assessment: Implications for motivation and accountability. Educational Psychologist, 45, 123-137.
Google Scholar | Crossref | ISI
Anderman, E. M., Mueller, C. E. (2010). Middle school transitions and adolescent development. In Meece, J. L., Eccles, J. S. (Eds.), Handbook of research on school, schooling, and human development (pp. 198-215). New York, NY: Routledge.
Google Scholar
Anderman, E. M., Patrick, H. (2012). Achievement goal theory, conceptualization of ability/intelligence, and classroom climate. In Christenson, S., Reschly, A., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 173-192). New York, NY: Springer.
Google Scholar | Crossref
Anderman, E. M., Wolters, C. A. (2006). Goals, values, and affect: Influences on student motivation. In Alexander, P. A., Winne, P. (Eds.), Handbook of educational psychology (pp. 369-389). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Anderson, R. (2007). Being a mathematics learner: Four faces of identity. The Mathematics Educator, 17, 7-14.
Google Scholar
Australian Curriculum, Assessment and Reporting Authority . (2012). My school website. Available from http://www.myschool.edu.au
Google Scholar
Balfanz, R., Herzog, L., Mac Iver, D. J. (2007). Preventing student disengagement and keeping students on the graduation path in urban middle-grades schools: Early identification and effective interventions. Educational Psychologist, 42, 223-235.
Google Scholar | Crossref | ISI
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
Google Scholar
Barrington, F. (2011). Australian Mathematical Sciences Institute interim update on year 12 mathematics student numbers. Melbourne: Australian Mathematical Sciences Institute.
Google Scholar
Bobis, J. (2000). Supporting teachers implement a numeracy agenda. Paper commissioned by Department of Education, Training and Youth Affairs. Retrieved from ERIC database. (ED461509)
Google Scholar
Bobis, J., Anderson, J., Martin, A. J., Way, J. (2011). A model for mathematics instruction to enhance student motivation and engagement. In Brahier, D. J. (Ed.), Motivation and disposition: Pathways to learning mathematics (pp. 31-42). Reston, VA: National Council of Teachers of Mathematics.
Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.
Google Scholar
Bronfenbrenner, U. (1992). Ecological systems theory. In Vasta, R. (Ed.), Six theories of child development: Revised reformulations and current issues (pp. 187-249). London, England: Jessica Kingsley.
Google Scholar
Bronfenbrenner, U. (2001). The bioecological theory of human development. In Smelser, N. J., Baltes, P. B. (Eds.), International encyclopedia of the social and behavioral sciences (Vol. 10, pp. 6963-6970), New York, NY: Elsevier.
Google Scholar | Crossref
Bronstein, P., Ginsburg, G. S., Herrera, I. S. (2005). Parental predictors of motivational orientation in early adolescence: A longitudinal study. Journal of Youth and Adolescence, 34, 559-575.
Google Scholar | Crossref | ISI
Brown, M., Brown, P., Bibby, T. (2008). ‘I would rather die’: Reasons given by 16-year-olds for not continuing their study of mathematics. Research in Mathematics Education, 10, 3-18
Google Scholar | Crossref
Chan, D. (1998). Functional relations among constructs in the same content domain at different levels of analysis: A typology of composition models. Journal of Applied Psychology, 83, 234-246.
Google Scholar | Crossref | ISI
Church, M. A., Elliot, A. J., Gable, S. L. (2001). Perceptions of classroom environment, achievement goals, and achievement outcomes. Journal of Educational Psychology, 93, 43-54.
Google Scholar | Crossref | ISI
Cobb, P., Gresalfi, M., Hodge, L. (2009). An interpretive scheme for analyzing the identities that students develop in mathematics classrooms. Journal for Research in Mathematics Education, 40, 40-68.
Google Scholar | ISI
Cohen, P. A., Kulik, J. A., Kulik, C.-L. C. (1982). Educational outcomes of tutoring: A meta-analysis of findings. American Educational Research Journal, 19, 237-248.
Google Scholar | SAGE Journals | ISI
Doig, B. (2005). A review of research to inform middle years mathematics teaching and learning. Adelaide: Australian Association for Mathematics Teachers.
Google Scholar
Eccles, J. S., Lord, S., Midgley, C. (1991). What are we doing to early adolescents? The impact of educational contexts on early adolescents. American Educational Research Journal, 99, 521-542.
Google Scholar
Eccles, J. S., Midgley, C. (1989). Stage-environment fit: Developmentally appropriate classrooms for young adolescents. In Ames, C., Ames, R. (Eds.), Research on motivation in education: Goals and cognitions (Vol. 3, pp. 139-186). New York, NY: Academic Press.
Google Scholar
Finn, J. D. (1989). Withdrawing from school. Review of Educational Research, 59, 117-142.
Google Scholar | SAGE Journals | ISI
Forgasz, H. (2006). Australian year 12 “intermediate” level mathematics enrolments 2000-2004. In Grootenboer, P., Zevenbergen, R., Chinnappan, M. (Eds.), 29th annual conference of the MERGA (pp. 211-220). Canberra: Mathematics Education Research Group of Australasia.
Google Scholar
Fraser, B. J. (1991). Two decades of classroom environment research. In Fraser, B. J., Walberg, H. J. (Eds.), Educational environments: Evaluation, antecedents and consequences (pp. 3-27). Oxford, UK: Pergamon.
Google Scholar
Fredricks, J. A., Blumenfeld, P. C., Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74, 59-109.
Google Scholar | SAGE Journals | ISI
Fredricks, J. A., Eccles, J. S. (2002). Children’s competence and value beliefs from childhood through adolescence: Growth trajectories in two male-sex-typed domains. Developmental Psychology, 38, 519-533.
Google Scholar | Crossref | Medline | ISI
Friedel, J. M., Cortina, K. S., Turner, J. C., Midgley, C. (2010). Changes in efficacy beliefs in mathematics across the transition to middle school: Examining the effects of perceived teacher and parent goal emphases. Journal of Educational Psychology, 102, 102-114.
Google Scholar | Crossref | ISI
Fuchs, T., Wobmann, L. (2005). Computers and student learning: Bivariate and multivariate evidence on the availability and use of computers at home and at school (Working paper No. 8, pp. 1-29). Munich, Germany: Institute for Economic Research at the University of Munich.
Google Scholar
Furrer, C., Skinner, E. (2003). Sense of relatedness as a factor in children’s academic engagement and performance. Journal of Educational Psychology, 95, 148-162.
Google Scholar | Crossref | ISI
Giedd, J. N. (2003). The anatomy of mentalization: A view from developmental neuroimaging. Bulletin of the Menninger Clinic, 67, 132-142.
Google Scholar | Crossref | Medline
Goldstein, H. (2003). Multilevel statistical models (3rd ed.). London, England: Hodder Arnold.
Google Scholar
Goldstein, H., Thomas, S. (1996). Using examination results as indicators of school and college performance. Journal of the Royal Statistical Society: Series A, 159, 149-163.
Google Scholar | Crossref
Gonzalez, A. (2002). Parental involvement: Its contribution to high school students’ motivation. Urban Education, 75, 132-135.
Google Scholar
Graham, J. W., Hoffer, S. M. (2000). Multiple imputation in multivariate research. In Little, T. D., Schnable, K. U., Baumert, J. (Eds.), Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples (pp. 201-218). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Green, J., Liem, G. A. D., Martin, A. J., Colmar, S., Marsh, H. W., McInerney, D. M. (2012). Academic motivation, self-concept, engagement, and performance in high school: Key processes from a longitudinal perspective. Journal of Adolescence, 35, 1111-1122.
Google Scholar | Crossref | Medline | ISI
Green, J., Martin, A. J., Marsh, H. W. (2007). Motivation and engagement in English, mathematics, and science high school subjects: Towards an understanding of multidimensional domain specificity. Learning and Individual Differences, 17, 269-279.
Google Scholar | Crossref
Greenwood, C. R., Terry, B., Utley, C. A., Montagna, D., Walker, D. (1993). Achievement, placement, and services: Middle school benefits of classwide peer tutoring used at the elementary school. School Psychology Review, 22, 497-516.
Google Scholar | ISI
Gutman, L. M., Midgley, C. (2000). The role of protective factors in supporting the academic achievement of poor African American students during the middle school transition. Journal of Youth and Adolescence, 29, 223-248.
Google Scholar | Crossref | ISI
Harris, D. N. (2011). Value-added measures in education. Cambridge, MA: Harvard Education Press.
Google Scholar
Harter, S., Whitesell, N. R., Kowalski, P. (1992). Individual differences in the effects of educational transitions on young adolescents’ perceptions of competence and motivational orientation. American Educational Research Journal, 29, 777-807.
Google Scholar | SAGE Journals | ISI
Hattie, J. (2009). Visible learning. Oxford, UK: Routledge.
Google Scholar
Hedges, L. V., Laine, R. D., Greenwald, R. (1994). An exchange Part I: Does money matter? A meta-analysis of studies of the effects of differential school inputs on student outcomes. Educational Researcher, 23, 5-14.
Google Scholar | SAGE Journals
Hill, H. C., Ball, D. L., Schilling, S. G. (2008). Unpacking pedagogical content knowledge: Conceptualizing and measuring teacher’s topic-specific knowledge of students. Journal for Research in Mathematics Education, 39, 372-400.
Google Scholar
Jacobs, J. E., Lanza, S., Osgood, W. D., Eccles, J. S., Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through to twelve. Child Development, 73, 509-527.
Google Scholar | Crossref | Medline
Jöreskog, K. G., Sörbom, D. (2006). LISREL 8.80 [Computer software]. Chicago, IL: Scientific Software International.
Google Scholar
Khoo, S. T., Ainley, J. (2005). Attitudes, intentions, and participation: Longitudinal Surveys of Australian Youth (Research Report 41). Melbourne: Australian Council for Educational Research.
Google Scholar
Klein, K. J., Dansereau, F., Hall, R. J. (1994). Levels issues in theory development, data collection, and analysis. The Academy of Management Review, 19, 195-229.
Google Scholar | Crossref
Lam, S., Jimerson, S., Kikas, E., Cefai, C., Veiga, F. H., Nelson, B., . . .Zollneritsch, J. (2012). Do girls and boys perceive themselves as equally engaged in school? The results of an international study from 12 countries. Journal of School Psychology, 50, 77-94.
Google Scholar | Crossref | Medline
Lee, V. E., Smith, J. B. (1997). High school size: Which works best and for whom? Educational Evaluation and Policy Analysis, 19, 205-227.
Google Scholar | SAGE Journals | ISI
Li, Y., Lerner, R. M. (2011). Trajectories of school engagement during adolescence: Implications for grades, depression, delinquency, and substance use. Developmental Psychology, 47, 233-247.
Google Scholar | Crossref | Medline | ISI
Liem, G. A., Martin, A. J. (2012). The Motivation and Engagement Scale: Theoretical framework, psychometric properties, and applied yields. Australian Psychologist, 47, 3-13.
Google Scholar | Crossref | ISI
Lindberg, S. M., Hyde, J. S., Petersen, J. L., Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136, 1123-1135.
Google Scholar | Crossref | Medline | ISI
Locke, E. A., Latham, G. P. (2002). Building practically useful theory of goal setting and task motivation. American Psychologist, 57, 705-717.
Google Scholar | Crossref | Medline
Ma, X., Kishor, N. (1997). Assessing the relationship between attitude toward mathematics and achievement in mathematics: A meta-analysis. Journal for Research in Mathematics Education, 28, 26-47.
Google Scholar | Crossref | ISI
Maehr, M. L., Midgley, C. (1996). Transforming school cultures. Boulder, CO: Westview.
Google Scholar
Mansour, M., Martin, A. J. (2009). Home, parents, and achievement motivation: A study of key home and parental factors that predict student motivation and engagement. Australian Educational and Developmental Psychologist, 26, 111-126.
Google Scholar | Crossref
Marsh, H. W. (2007). Self-concept theory, measurement, and research into practice: The role of self-concept in educational psychology. Leicester, UK: British Psychological Society.
Google Scholar
Marsh, H. W., Craven, R. G. (2002). The pivotal role of frames of reference in academic self-concept formation: The Big-Fish-Little-Pond Effect. In Pajares, F., Urdan, T. (Eds.), Adolescence and education (Vol. II, pp. 83-123). Greenwich, CT: Information Age.
Google Scholar
Marsh, H. W., Martin, A. J. (2011). Academic self-concept and academic achievement: Relations and causal ordering. British Journal of Educational Psychology, 81, 59-77.
Google Scholar | Crossref | Medline | ISI
Marsh, H. W., Martin, A. J., Cheng, J. (2008). A multilevel perspective on gender in classroom motivation and climate: Potential benefits of male teachers for boys? Journal of Educational Psychology, 100, 78-95.
Google Scholar | Crossref | ISI
Marsh, H. W., Rowe, K. J. (1996). The negative effects of school-average ability on academic self-concept: An application of multilevel modeling. Australian Journal of Education, 40, 65-87.
Google Scholar | SAGE Journals | ISI
Marsh, H. W., Seaton, M., Trautwein, U., Lüdtke, O., Hau, K.-T., O’Mara, A. J., Craven, R. G. (2008). The big-fish-little-pond-effect stands up to critical scrutiny: Implications for theory, methodology, and future research. Educational Psychology Review, 20, 319-350.
Google Scholar | Crossref | ISI
Martin, A. J. (2006). Personal bests (PBs): A proposed multidimensional model and empirical analysis. British Journal of Educational Psychology, 76, 803-825.
Google Scholar | Crossref | Medline | ISI
Martin, A. J. (2007). Examining a multidimensional model of student motivation and engagement using a construct validation approach. British Journal of Educational Psychology, 77, 413-440.
Google Scholar | Crossref | Medline | ISI
Martin, A. J. (2008). The Motivation and Engagement Scale. Sydney, Australia: Lifelong Achievement Group. Available from www.lifelongachievement.com
Google Scholar
Martin, A. J. (2009). Motivation and engagement across the academic lifespan: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69, 794-824.
Google Scholar | SAGE Journals | ISI
Martin, A. J. (2012). Motivation and engagement: Conceptual, operational and empirical clarity. In Christenson, S., Reschly, A., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 303-314). New York, NY: Springer.
Google Scholar | Crossref
Martin, A. J., Anderson, J., Bobis, J., Way, J., Vellar, R. (2012). Switching on and switching off in mathematics: An ecological study of future intent and disengagement amongst middle school students. Journal of Educational Psychology, 104, 1-18.
Google Scholar | Crossref
Martin, A. J., Bobis, J., Anderson, J., Way, J., Vellar, R. (2011). Patterns of multilevel variance in psycho-educational phenomena: Exploring motivation, engagement, climate, teacher, and achievement factors. German Journal of Educational Psychology/Zeitschrift für Pädagogische Psychologie, 25, 49-61.
Google Scholar | Crossref
Martin, A. J., Dowson, M. (2009). Interpersonal relationships, motivation, engagement, and achievement: Yields for theory, current issues, and practice. Review of Educational Research, 79, 327-365.
Google Scholar | SAGE Journals | ISI
Martin, A. J., Liem, G. A. (2010). Academic Personal bests (PBs), engagement, and achievement: A cross-lagged panel analysis. Learning and Individual Differences, 20, 265-270.
Google Scholar | Crossref | ISI
Martin, A. J., Liem, G. A. D., Mok, M., Xu, J. (2012). Problem solving and immigrant student mathematics and science achievement: Multi-nation findings from the Programme for International Student Assessment (PISA). Journal of Educational Psychology, 104, 1054-1073.
Google Scholar | Crossref
Matthews, A., Pepper, D. (2005). Evaluation of participation in A-level mathematics: Interim report. London, England: Qualifications and Curriculum Authority Agency.
Google Scholar
McInerney, D. (2000). Helping kids achieve their best. Sydney, Australia: Allen & Unwin.
Google Scholar
McPhan, G., Morony, W., Pegg, J., Cooksey, R., Lynch, T. (2008). Maths? Why not? Canberra, Australia: Department of Education, Employment, and Workplace Relations.
Google Scholar
Meinhardt, J., Pekrun, R. (2003). Attentional resource allocation to emotional events. Cognition & Emotion, 17, 477-500.
Google Scholar | Crossref
Middleton, J. A., Spanias, P. A. (1999). Motivation for achievement in mathematics: Findings, generalizations, and criticisms of the research. Journal for Research in Mathematics Education, 30, 65-88.
Google Scholar | Crossref | ISI
Midgley, C., Anderman, E. M., Hicks, L. H. (1995). Differences between elementary and middle school teachers and students: A goal theory approach. Journal of Early Adolescence, 15, 90-113.
Google Scholar | SAGE Journals | ISI
National Council of Teachers of Mathematics . (2000). Principles and standards for school mathematics. Reston, VA: Author.
Google Scholar
Newman, M., Garrett, Z., Elbourne, D., Bradley, S., Noden, P., Taylor, J., West, A. (2006). Does secondary school size make a difference? A systematic review. Educational Research Review, 1, 41-60.
Google Scholar | Crossref
Organisation for Economic Co-Operation and Development . (2003). Student engagement at school: A sense of belonging and participation. Paris, France: Author.
Google Scholar
Organisation for Economic Co-Operation and Development . (2006). Where immigrant students succeed. Paris, France: Author.
Google Scholar
Pekrun, R., Elliot, A. J., Maier, M. A. (2006). Achievement goals and discrete achievement emotions: A theoretical model and prospective test. Journal of Educational Psychology, 98, 583-597.
Google Scholar | Crossref | ISI
Pekrun, R., Goetz, T., Titz, W., Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of quantitative and qualitative research. Educational Psychologist, 37, 91-106.
Google Scholar | Crossref
Perry, L., McConney, A. (2010). Does the SES of the school matter? An examination of socioeconomic status and student achievement using PISA 2003. Teachers College Record, 112, 1137-1162.
Google Scholar | ISI
Pomerantz, E., Moorman, E. (2007). The how, whom, and why of parents’ involvement in children’s academic lives: More is not always better. Review of Educational Research, 77, 373-410.
Google Scholar | SAGE Journals | ISI
Rasbash, J., Steele, F., Browne, W., Prosser, B. (2010). A user’s guide to MLwiN version 2.18. London, England: Institute of Education, University of London.
Google Scholar
Raudenbush, S. W., Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: SAGE.
Google Scholar
Reschly, A. L., Christenson, S. L. (2012). Jingle, jangle, and conceptual haziness: Evolution and future directions of the engagement construct. In Christenson, S. L., Reschly, A. L., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 3-20). New York, NY: Springer.
Google Scholar | Crossref
Reyes, M. R., Brackett, M. A., Rivers, S. E., White, M., Salovey, P. (2012). Classroom emotional climate, student engagement, and academic achievement. Journal of Educational Psychology, 104, 700-712.
Google Scholar | Crossref | ISI
Reynolds, A. J., Walberg, H. J. (1992). A process model of mathematics achievement and attitude. Journal for Research in Mathematics Education, 23, 306-328.
Google Scholar | Crossref | ISI
Ryan, R. M., Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68-78.
Google Scholar | Crossref | Medline | ISI
Schunk, D. H., Miller, S. D. (2002). Self-efficacy and adolescents’ motivation. In Pajares, F., Urdan, T. (Eds.), Academic motivation of adolescents (pp. 29-52). Greenwich, CT: Information Age.
Google Scholar
Schunk, D. H., Mullen, C. A. (2012). Self-efficacy as an engaged learner. In Christenson, S., Reschly, A., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 219-236). New York, NY: Springer.
Google Scholar | Crossref
Schwartz, A. E., Stiefel, L., Rubenstein, R., Zabel, J. (2011). The path not taken: How does school organization affect eighth-grade achievement? Educational Evaluation and Policy Analysis, 33, 293-317.
Google Scholar | SAGE Journals | ISI
Simmons, R. G., Blythe, D. A. (Eds.). (1987). Moving into adolescence: The impact of pubertal change and school context. Hawthorne, NY: Aldine de Gruyter.
Google Scholar
Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75, 417-453.
Google Scholar | SAGE Journals | ISI
Skinner, E. A., Kindermann, T. A., Connell, J. P., Wellborn, J. G. (2009). Engagement and disaffection as organizational constructs in the dynamics of motivational development. In Wentzel, K. R., Wigfield, A. (Eds.), Handbook of motivation at school (pp. 223-246). New York, NY: Routledge.
Google Scholar
Snijders, T. (2005). Fixed and random effects. In Everitt, B. S., Howell, D. C. (Eds.), Encyclopedia of statistics in behavioral science (pp. 664-665). Chichester, UK: Wiley.
Google Scholar | Crossref
Sullivan, P., Mousley, J., Zevenbergen, R. (2005). Teacher actions to maximize mathematics learning opportunities in heterogeneous classrooms. International Journal of Science and Mathematics Education, 4, 117-143.
Google Scholar | Crossref
Thomson, S., De Bortoli, L., Nicholas, M., Hillman, K., Buckley, S. (2010). PISA in brief: Highlights from the full Australian report. Melbourne: Australian Council for Educational Research.
Google Scholar
Valentine, J. C., DuBois, D. L., Cooper, H. (2004). The relations between self-beliefs and academic achievement: A systematic review. Educational Psychologist, 39, 111-133.
Google Scholar | Crossref | ISI
Wang, M., Eccles, J. S. (2012). Social support matters: Longitudinal effects of social support on three dimensions of school engagement from middle to high school. Child Development, 83, 877-895.
Google Scholar | Crossref | Medline | ISI
White, K. R. (1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin, 91, 461-481.
Google Scholar | Crossref | ISI
Wigfield, A., Eccles, J. S. (2002). Expectancy-value theory of motivation. Contemporary Educational Psychology, 25, 68-81.
Google Scholar | Crossref
Wigfield, A., Eccles, J. S., Mac Iver, D., Reuman, D., Midgley, C. (1991). Transitions at early adolescence: Changes in children’s domain-specific self-perceptions and general self-esteem across the transition to junior high school. Developmental Psychology, 27, 552-565.
Google Scholar | Crossref | ISI
Wigfield, A., Lutz, S. L., Wagner, L. A. (2005). Early adolescents’ development across the middle school years: Implications for school counselors. Professional School Counseling, 9, 112-119.
Google Scholar | Crossref
Wigfield, A., Tonks, S. (2002). Adolescents’ expectancies for success and achievement task values during middle and high school years. In Pajares, F., Urdan, T. (Eds.), Academic motivation of adolescents (pp. 53-82). Greenwich, CT: Information Age.
Google Scholar
Wilkinson, G. A. (1993). Wide Range Achievement Test. Wilmington, DE: Wide Range.
Google Scholar
Zevenbergen, R. (2003). Ability grouping in mathematics classrooms: A Bourdieuian analysis. For the Learning of Mathematics, 23, 5-10.
Google Scholar

Author Biographies

Andrew J. Martin is a professor of educational psychology in the School of Education at the University of New South Wales. His research interests are student motivation, engagement, achievement, and quantitative methods.

Jennifer Way is a senior lecturer in the Faculty of Education and Social Work at the University of Sydney. She researches effective pedagogies for mathematics education, with particular interests in educational technologies and the role of motivation and engagement in student learning.

Janette Bobis is an associate professor in mathematics education in the Faculty of Education and Social Work at the University of Sydney. Her teaching, research, and publications focus on teacher learning in mathematics education and student learning in mathematics.

Judy Anderson is an associate professor in mathematics education and an associate dean of learning and teaching in the Faculty of Education and Social Work at the University of Sydney. She conducts research into in-service and pre-service teachers’ beliefs and practices with a particular focus on problem solving.

View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

JEA-article-ppv for $36.00