Exploring intrinsic and extrinsic motivational aspects of middle school students’ aspirations for their mathematics learning
Middle school students have been pervasively described in the research literature as exhibiting disaffection, disengagement, and a lack of interest in mathematics classrooms. This study investigated this notion empirically using students’ own voice on their wishes for mathematics learning to see if they characterise themselves in this way in their self-reports. Over 3500 Australian middle school students responded to a free-format prompt and reported diverse but overwhelmingly positive aspirations related to intrinsic motivational features inherent in their disposition and to extrinsic factors in their environment, such as the learning context and activities provided. Evidence of all four goal orientations was found in the students’ responses but most noticeably for the productive mastery-approach orientation. When these students described what they wish for in their mathematics classrooms, they mentioned challenging work, interesting work, and opportunities to collaborate.
KeywordsMotivation Wishes Affect Goal orientations Achievement Middle school mathematics
We acknowledge with appreciation the student participants from the Encouraging Persistence, Maintaining Challenge project, funded by an Australian Research Council Discovery Project Grant (DP110101027), who contributed to the study on which this article is based. We thank Daya Weerasinghe for his contribution to the data analysis.
- Bazeley, P. (2007). Qualitative data analysis with NVivo. London: Sage.Google Scholar
- Commonwealth of Australia. (2008). National numeracy review report. Canberra, ACT: Human Capital Working Group, Council of Australian Governments Retrieved January 3, 2017 from https://alearningplace.com.au/wp-content/uploads/2016/02/National-Numeracy-Review.pdf Google Scholar
- Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
- Hollingsworth, H., Lokan, J., & McCrae, B. (2003). Teaching mathematics in Australia: Results from the TIMSS video study (TIMSS Australia monograph no. 5). Camberwell, Victoria: Australian Council for Educational Research.Google Scholar
- Mayring, P. (2015). Qualitative content analysis: Theoretical background and procedures. In A. Bikner-Ahsbahs, C. Knipping, & N. Presmeg (Eds.), Approaches to qualitative research in mathematics education: Examples of methodology and methods (pp. 365–380). Dordrecht: Springer.Google Scholar
- Middleton, J. A. (2013). More than motivation: The combined effects of critical motivational variables on middle school mathematics achievement. Middle Grades Research Journal, 8(1), 77–95.Google Scholar
- Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
- Skemp, R. R. (1976). Relational understanding and instrumental understanding. Mathematics Teaching, 77(1), 20–26.Google Scholar
- Skinner, E. A., Kindermann, T. A., Connell, J. P., & Wellborn, J. G. (2009). Engagement and disaffection as organisational constructs in the dynamics of motivational development. In K. Wentzel & D. Miele (Eds.), Handbook of motivation at school (pp. 223–245). New York, NY: Routledge.Google Scholar
- Turner, J. C., & Meyer, D. K. (2009). Understanding motivation in mathematics: What is happening in classrooms? In K. Wentzel & D. Miele (Eds.), Handbook of motivation at school (pp. 527–552). New York, NY: Routledge.Google Scholar
- Wish. (2016). In Oxford Living Dictionaries. Retrieved from https://en.oxforddictionaries.com/definition/wish