Abstract
The consideration of issues related to student engagement in classroom learning has taken on increasing importance in Western Australia since the passing of legislation to raise the school leaving age to 17 years, which came into effect in 2008. There are now more students retained at schools in Years 11 and 12 than previously. Engaging these students in learning is of the upmost importance for secondary schools. This paper presents a hypothesised model of student engagement in classroom learning that is based on the principles of Flow Theory (i.e. a person achieves a state of flow when there is a match in high skills and high challenges). The hypothesised model proposes that student engagement occurs when there is a balance between student learning capabilities (skills) and the expectations of student learning (challenges). Each of these comprised sub-constructs, of which there were 11 in total. The research sought to determine which of the 11 subconstructs that comprise the student engagement in classroom learning were the most difficult and which were easier to identify in Year 10 and 11 students. It also sought to determine whether membership of different groups of students accounted for variance in the calibrated scores (these groups being gender; school year; subject; and whether it was a favourite or least favourite subject). The sample comprised 112 Year 10 and 11 students from metropolitan and rural government schools in Western Australia. Each student was assigned a rating from zero to five by two researchers on each of the 11 sub-constructs. The Rasch Rating Scale Model was used for analysis of the quantitative data. Firstly, the raters experienced differing levels of difficulty in identifying the respective sub-constructs in the students. That is, the 11 items in the instrument presented varying levels of difficulty of affirmation. Secondly, the engagement scores differed by gender (boys displaying lower levels of engagement) and whether favourite or least favourite subject was reported (favourite subjects displaying higher levels of engagement). The year of schooling of the student and the subject area (e.g. English, Mathematics, Science, and Society and Environment) did not account for variance in engagement scores. The implications of these findings are discussed.
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References
Andrich, D. (1978). Application of a psychometric rating model to ordered categories which are scored with successive integers. Applied Psychological Measurement, 2(4), 581–594.
Andrich, D., Sheridan, B., Lyne, A., & Luo, G. (2003). RUMM2020: a Windows-based item analysis program employing Rasch unidimensional measurement models. Perth: Murdoch University.
Cavanagh, R. F., Kennish, P., & Sturgess, K. (2008). Development of theoretical frameworks to inform measurement of secondary school student engagement with learning. Paper presented at the 2008 annual conference of the Australian Association for Research in Education, Brisbane.
Csikszentmihalyi, M. (1990a). Flow: The psychology of optimal experience. New York: Harper & Row.
Csikszentmihalyi, M. (1990b). Literacy and intrinsic motivation. Daedalus, 119(2), 115–140.
Finn, D. F., & Rock, D. A. (1997). Academic success for students at risk for school failure. Journal of Applied Psychology, 82(2), 221–234.
Fullarton, S. (2002). Student engagement with school: Individual and school-level influences. Camberwell, Victoria: ACER.
Glanville, J. L., & Wildhagen, T. (2007). The measurement of school engagement: Assessing dimensionality and measurement invariance across race and ethnicity. Educational and Psychological Measurement, 67(6), 1019–1041.
Hektner, J. M., Schmidt, J. A., & Csikszentmihalyi, M. (2007). Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage Publications.
Howard, S., & Johnson, B. (1999). Tracking student resilience. Children Australia, 24(3), 14–23.
Marks, G. N., & Fleming, N. (1999). Early school leaving in Australia: Findings from the 1995 Year 9 LSAY cohort. Camberwell, Victoria: ACER.
Martin, J. (2007). The selves of educational psychology: Conceptions, contexts, and critical considerations. Educational Psychologist, 42(2), 79–89.
Marsh, H. W. (1992). Extracurricular activities: Beneficial extension of the traditional curriculum or subversion of academic goals? Journal of Educational Psychology, 84(4), 553–562.
Massimini, F., Csikszentmihalyi, M., & Carli, M. (1987). The monitoring of optimal experience. A tool for psychiatric rehabilitation. Journal of Nervous and Mental Disease, 175(9), 545–549.
Mooney, C. G. (2000). Theories of childhood. St. Paul, MN: Redleaf Press.
National Centre for Education Statistics. (1995). Extracurricular participation and student engagement, Retrieved February 19, 2008, from http://nces.ed.gov/pubs95/95741.pdf
Reeve, R., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing students’ engagement by increasing teachers’ autonomy support. Motivation and Emotion, 28(2), 147–169.
Schweinle, A., Meyer, D. K., & Turner, J. C. (2006). Striking the right balance: Students’ motivation and affect in elementary mathematics. Journal of Educational Research, 95(5), 271–293.
Shernoff, D. J., Csikszentmihalyi, M., Schneider, B., & Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of flow theory. School Psychology Quarterly, 18(2), 158–176.
Vygotsky, L. S. (1978). Mind and society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
White, B., & Frederiksen, J. (2005). A theoretical framework and approach for fostering metacognitive development. Educational Psychologist, 40(4), 211–223.
Wiggins, G., & McTighe, J. (1998). Understanding by design. Alexandra, VA: Association for Supervision and Curriculum Development.
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Kennish, P., Cavanagh, R.F. (2011). The Engagement in Classroom Learning of Year 10 and 11 Western Australian Students. In: Cavanagh, R.F., Waugh, R.F. (eds) Applications of Rasch Measurement in Learning Environments Research. Advances in Learning Environments Research, vol 2. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6091-493-5_13
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DOI: https://doi.org/10.1007/978-94-6091-493-5_13
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