Abstract
Student motivation and self-beliefs in relation to school are important constructs when it comes to student learning and achievement. Adaptive motivational dispositions can be valued not only as predictors of performance but also as outcomes of schooling. Thus, it is not surprising that ILSAs from the very start have attempted to assess aspects related to student motivation and self-beliefs in addition to scholastic proficiency and literacy.
In this chapter, the motivational frameworks used in different ILSAs, with emphasis on those used in PISA and TIMSS/PIRLS, are briefly described together with the characteristics of contemporary motivation theory in order to give a context to research that has been published on the topic.
The main part of this chapter is then devoted to a review of findings from studies using ILSA data to explore motivational aspects such as intrinsic and extrinsic motivation, self-concept, and self-efficacy. The ambition is not to cover all existing research across time and ILSAs but rather to provide a representative and informative overview of salient research questions and main findings in relation to student motivation and beliefs in ILSA studies. In particular, findings regarding the relevance of motivational constructs for student achievement are reviewed across studies and contexts.
On a more general level, an attempt is also made to situate the ILSA motivation research within the larger achievement motivation research field. It will be argued that provided that the measured motivational constructs are properly defined and operationalized, secondary analyses using ILSA data can contribute to motivation research, in particular regarding the generalizability and universality of theoretical assumption and corroboration of findings using large-scale data.
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References
Artelt, C. (2005). Cross-cultural approaches to measuring motivation. Educational Assessment, 10(3), 231–255.
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
Boe, E. E., Turner, H. M., May, H., Leow, C., & Barkanic, G. (1999). The role of student attitudes and beliefs about mathematics and science learning in academic achievement: Evidence from TIMSS for six nations. CRESP data analysis report. Retrieved from http://repository.upenn.edu/gse_pubs/413
Brown, G. T. L., & Harris, L. R. (2013). Student self-assessment. In J. H. McMillan (Ed.), The SAGE handbook of research on classroom assessment (pp. 367–393). Sage.
Çiftçi, Ş. K., & Yıldız, P. (2019). The effect of self-confidence on mathematics achievement: The Meta-analysis of trends in international mathematics and science study (TIMSS). International Journal of Instruction, 12, 683–694.
De Naeghel, J., Valcke, M., De Meyer, I., et al. (2014). The role of teacher behavior in adolescents’ intrinsic reading motivation. Reading and Writing, 27, 1547–1565.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum Press.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.
Eklöf, H., & Knekta, E. (2018). Using large-scale educational data to test motivation theories: A synthesis of findings from Swedish studies on test-taking motivation. International Journal of Quantitative Research in Education, 4, 52–71.
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136, 103–127.
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.
Ganley, C. M., & Lubienski, S. T. (2016). Mathematics confidence, interest, and performance: Examining gender patterns and reciprocal relations. Learning and Individual Differences, 47, 182–193.
Hattie, J. A. C. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
He, J., Barrera-Pedemonte, F., & Buchholz, J. (2019). Cross-cultural comparability of noncognitive constructs in TIMSS and PISA. Assessment in Education: Principles, Policy & Practice, 26, 369–385.
He, J., & Van de Vijver, F. (2012). Bias and equivalence in cross-cultural research. Online Readings in Psychology and Culture., 2. https://doi.org/10.9707/2307-0919.1111
Hooper, M., Mullis, I. V. S., Martin, M. O., & Fishbein, B. (2017). TIMSS 2019 context questionnaire framework. In I. V. S. Mullis & M. O. Martin (Eds.), TIMSS 2019 assessment frameworks (pp. 57–78). TIMSS & PIRLS International Study Center.
Ker, H.-V. (2017). The effects of motivational constructs and engagement on mathematics achievements: A comparative study using TIMSS 2011 data of Chinese Taipei, Singapore, and the USA. Asica Pacific Journal of Education, 37, 135–149.
Kuger, S., & Klieme, E. (2016). Dimensions of context assessment. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: An international perspective. Springer International Publishing.
Lee, J. (2009). Universals and specifics of math self-concept, math self-efficacy, and math anxiety across 41 PISA 2003 participating countries. Learning and Individual Differences, 19, 355–365.
Lee, J., & Stankov, L. (2018). Non-cognitive predictors of academic achievement: Evidence from TIMSS and PISA. Learning and Individual Differences, 65, 50–64.
Liem, G. A. D., & McInerney, D. M. (Eds.). (2018). Big theories revisited 2. Information Age Publishing.
Liou, P.-Y. (2017). Profiles of adolescents’ motivational beliefs in science learning and science achievement in 26 countries: Results from TIMSS 2011 data. International Journal of Educational Research, 81, 83–96.
Marsh, H. W. (2006). Self-concept theory, measurement and research into practice: The role of self-concept in Educational Psychology. British Psychological Society.
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1, 133–163.
McInerney, D. M., & Van Etten, S. (2004). Big theories revisited. Connecticut, Information Age Publishing.
Meece, J. L., Glienke, B. B., & Burg, S. (2006). Gender and motivation. Journal of School Psychology, 44, 351–373.
Michaelides, M. P., Brown, G. T. L., Eklöf, H., & Papanastasiou, E. C. (2019). Motivational profiles in TIMSS mathematics. Exploring student clusters across countries and time (IEA research for education) (Vol. 7). Springer Open.
Mullis, I. V. S., Martin, M. O., Smith, T. A., Garden, R. A., Gregory, K. D., Gonzalez, E. J., Chrostowski, S. J., & O’Connor, K. M. (2001). TIMSS asssessment frameworks and specifications 2003. Chestnut Hill.
Murphy, P. K., & Alexander, P. A. (2000). A motivated look at motivational terminology. Contemporary Educational Psychology, 25, 3–53.
Nagengast, B., & Marsh, H. W. (2011). The negative effect of school-average ability on science self-concept in the UK, the UK countries and the world: The big-fish-little-pond effect for PISA 2006. Educational Psychology, 31, 629–656.
Nagengast, B., & Marsh, H. W. (2013). Motivation and engagement in science around the globe: Testing measurement invariance with multigroup structural equation models across 57 countries using PISA 2006. In L. Rutkowski, M. von Davier, & D. Rutkowski (Eds.), Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis (pp. 318–344) Chapman and Hall xxx.
Nagengast, B., Marsh, H. W., Scalas, L. F., Xu, M. K., Hau, K.-T., & Trautwein, U. (2011). Who took the “x” out of the expectancy-value theory? A psychological mystery, a substantive-methodological synergy and a cross-national generalization. Psychological Science, 22, 1058–1066.
OECD. (2003). PISA 2003 assessment framework: Mathematics, Reading, science and problem solving knowledge and skills. OECD Publishing.
OECD. (2019). PISA 2018 assessment and analytical framework. OECD Publishing.
Oskarsson, M., Kjaernsli, M., Sørensen, H., & Eklöf, H. (2018). Nordic students interest and self-belief in science. In Nordic council of ministers, northern lights on TIMSS and PISA 2018. Nordic Council of Ministers.
Papanastasiou, E. C., & Zembylas, M. (2004). Differential effects of science attitudes and science achievement in Australia, Cyprus, and the USA. International Journal of Science Education, 26, 259–280.
Park, Y. (2011). How motivational constructs interact to predict elementary students’ reading performance: Examples from attitudes and self-concept in reading. Learning and Individual Differences, 21, 347–358.
Pekrun, R. (2018). Control-value theory: A social-cognitive approach to achievement emotions. In G. A. D. Liem & D. M. McInerney (Eds.), Big theories revisited 2. Information Age Publishing.
Pintrich, P. R. (2003). Motivation and classroom learning. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of psychology: Educational psychology, Vol. 7 (pp. 103–122). John Wiley & Sons.
Rutkowski, L. (2016) (ed.). Special issue on causal inferences with cross-sectional large-scale assessment data. Large-scale Assessments in Education, 4(8). Retrieved from https://www.springeropen.com/collections/LsAE
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivation: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.
Scheerens, J. (1990). School effectiveness and the development of process indicators of school functioning. School Effectiveness and School Improvement, 1, 61–80.
Scherer, R., & Nilsen, T. (2016). The relations among school climate, instructional quality, and achievement motivation in mathematics. In T. Nilsen & J.-E. Gustafsson (Eds.), Teacher quality, instructional quality and student outcomes (IEA research for education 2). Springer Open.
Schiefele, U., Schaffner, E., Möller, J., & Wigfield, A. (2012). Dimensions of reading motivation and their relation to reading behavior and competence. Reading Research Quarterly, 47, 427–463.
Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2010). Motivation in education: Theory, research, and applications (3rd ed.). Pearson Education.
Sjöberg, S., & Schreiner, C. (2010). The ROSE project. An overview and key findings. Oslo University. Retrieved from http://www.cemf.ca/%5C/PDFs/SjobergSchreinerOverview2010.pdf
Stankov, L. (2013). Noncognitive predictors of intelligence and academic achievement: An important role of confidence. Personality and Individual Differences, 55, 727–732.
Tonks, S. M., Wigfield, A., & Eccles, J. S. (2018). Expectancy-value theory in cross-cultural perspective: What have we learned in the last 15 years? In G. A. D. Liem & D. M. McInerney (Eds.), Big theories revisited 2. Information Age Publishing.
Valentine, J. C., DuBois, D. L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: A meta-analytic review. Educational Psychologist, 39, 111–133.
Wentzel, K. R., & Wigfield, A. (2009). Handbook of motivation in school. Routledge.
Wigfield, A., & Eccles, J. S. (2002). Development of achievement motivation. In San Diego. Academic Press.
Yang, G., Badri, M., Al Rashedi, A., & Almazroui, K. M. (2018). The role of reading motivation, self-efficacy, and home influence in students’ literacy achievement: A preliminary examination of fourth graders in Abu Dhabi. Large-Scale Assessments in Education, 6, 1–19.
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Eklöf, H. (2021). Student Motivation and Self-Beliefs. In: Nilsen, T., Stancel-Piątak, A., Gustafsson, JE. (eds) International Handbook of Comparative Large-Scale Studies in Education. Springer International Handbooks of Education. Springer, Cham. https://doi.org/10.1007/978-3-030-38298-8_44-1
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