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Personal Best (PB) Goal Setting and Students’ Motivation in Science: A Study of Science Valuing and Aspirations

Published online by Cambridge University Press:  11 December 2014

Andrew J. Martin*
Affiliation:
School of Education, University of New South Wales, Sydney, New South Wales, Australia
Tracy L. Durksen
Affiliation:
School of Education, University of New South Wales, Sydney, New South Wales, Australia
Derek Williamson
Affiliation:
Museum of Human Disease, University of New South Wales, Sydney, New South Wales, Australia
Julia Kiss
Affiliation:
Museum of Human Disease, University of New South Wales, Sydney, New South Wales, Australia
Paul Ginns
Affiliation:
Faculty of Education and Social Work, University of Sydney, Sydney, New South Wales, Australia
*
Address for correspondence: Professor Andrew J. Martin, School of Education, University of New South WalesNSW 2052, Australia. E-mail: [email protected]
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Abstract

To build on prior correlational research into personal best (PB) goals and motivational outcomes, an experimental study was conducted to assess the role of PB goal setting in gains (or declines) in students’ motivation in science (viz. biology, anatomy, health). The study (comprising N = 71 elementary/primary and secondary school students) applied a pre/post-treatment/control group experimental design to test whether setting a PB learning goal in a self-paced science education program (conducted in a museum context) leads to growth in science valuing and science aspirations. The treatment group (PB goal setting), but not the control group, demonstrated significant growth in science aspirations (but not valuing) between pre- and post-testing. This study provides support for the proposition that PB learning goals are associated with motivational growth in students’ lives. Findings also hold implications for museum-based education programs for students.

Type
Articles
Copyright
Copyright © Australian Psychological Society Ltd 2014 

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References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRefGoogle Scholar
Anderman, E., Anderman, L., Yough, M., & Gimbert, B. (2010). Value-added models of assessment: Implications for motivation and accountability. Educational Psychologist, 45, 123137. doi.org/10.1080/00461521003703045CrossRefGoogle Scholar
Anderman, E.M., Gimbert, B., O’Connell, A., & Riegel, L. (2014). Approaches to academic growth assessment. British Journal of Educational Psychology. Advance online publication.Google Scholar
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. 369389). Mahwah, NJ: Erlbaum.Google Scholar
Armitage, C.J., & Conner, M. (2001). Efficacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471499.CrossRefGoogle ScholarPubMed
Australian Academy of Science (2006). Mathematics and statistics: Critical skills for Australia's future. Melbourne, Australia: Australian Academy of Science.Google Scholar
Beady, C., Slavin, R., & Fennessey, G. (1981) Alternative student evaluation structures and a focused schedule of instruction in an inner-city junior high school. Journal of Educational Psychology, 73, 518523. doi.org/10.1037/0022-0663.73.4.518CrossRefGoogle Scholar
Bell, P., Lewenstein, B., Shouse, A.W., & Feder, M.A. (2009). Learning science in informal environments. Washington, DC: National Academies Press.Google Scholar
Carver, C.S., & Scheier, M.F. (1996). Perspectives on personality. Needham Heights, MA: Allyn & Bacon.Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Lawrence Erlbaum.Google Scholar
Cox-Petersen, A.M., Marsh, D.D., Kisiel, J., & Melber, L.M. (2003). Investigation of guided school tours, student learning, and science reform recommendations at a museum of natural history. Journal of Research in Science Teaching, 40, 200218.CrossRefGoogle Scholar
DeVellis, R.F. (1991). Scale development: Theory and applications (Applied Social Research Methods Series, Vol. 26). Newbury Park, CA: Sage.Google Scholar
Elliot, A.J. (2005). A conceptual history of the achievement goal construct. In Elliot, A.J. & Dweck, C.S. (Eds.), Handbook of competence and motivation (pp. 5272). New York: Guildford.Google Scholar
Elliot, A.J., Murayama, K., Kobeisy, A., & Lichtendfeld, S. (in press). Potential-based achievement goals. British Journal of Educational Psychology.Google Scholar
Elliot, A.J., Murayama, K., & Pekrun, R. (2011). A 3 × 2 achievement goal model. Journal of Educational Psychology, 103, 632648. doi.org/10.1037/a0023952CrossRefGoogle Scholar
Falk, J.H., & Dierking, L.D. (1997). School field trips: Assessing their long-term impact. Curator: The Museum Journal, 40, 211218.CrossRefGoogle Scholar
Gardner, H. (1991). The unschooled mind. New York: Basic Books.Google Scholar
Goodrum, D., Druhan, A., & Abbs, J. (2012). The status and quality of Year 11 and 12 Science in Australian schools. Report prepared for the Office of the Chief Scientist by the Australian Academy of Science, Canberra.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, 11111122.CrossRefGoogle ScholarPubMed
Harris, D.N. (2011) Value-added measures in education. Cambridge: Harvard Educational Press.Google ScholarPubMed
Hattie, J.A. (2009). Visible learning. New York: Routledge.Google Scholar
Hattie, J.A. (2012). Visible learning for teachers. New York: Routledge.CrossRefGoogle Scholar
Liem, G.A., Ginns, P., Martin, A.J., Stone, B., & Herrett, M. (2012). Personal best goals and academic and social functioning: A longitudinal perspective. Learning and Instruction, 22, 222230. doi.org/10.1016/j.learninstruc.2011.11.003CrossRefGoogle Scholar
Linnenbrink-Garcia, L., Tyson, D.F., & Patall, E.A. (2008). When are achievement goal orientations beneficial for academic achievement? A closer look at moderating factors. International Review of Social Psychology, 21, 1970.Google Scholar
Locke, E.A., & Latham, G.P. (2002). Building practically useful theory of goal setting and task motivation. American Psychologist, 57, 705717. doi.org/10.1037/0003-066X.57.9.705CrossRefGoogle ScholarPubMed
Lyons, T., & Quinn, F. (2010). Choosing science: Understanding the declines in senior high school science enrolments. Armidale, Australia: National Centre of Science, ICT and Mathematics Education for Rural and Regional Australia, University of New England.Google Scholar
Maehr, M.L., & Zusho, A. (2009). Achievement goal theory: The past, present, and future. In Wentzel, K.R. & Wigfield, A. (Eds.), Handbook of motivation at school (pp. 77104). New York: Routledge.Google Scholar
Martin, A.J. (2006). Personal bests (PBs): A proposed multidimensional model and empirical analysis. British Journal of Educational Psychology, 76, 803825. doi.org/10.1348/000709905×55389CrossRefGoogle ScholarPubMed
Martin, A.J. (2010). The Motivation and Engagement Scale. Sydney, Australia: Lifelong Achievement Group (www.lifelongachievement.com).Google Scholar
Martin, A.J. (2011). Personal best (PB) approaches to academic development: Implications for motivation and assessment. Educational Practice and Theory, 33, 9399. doi.org/10.7459/ept/33.1.06CrossRefGoogle Scholar
Martin, A.J. (2012). The role of Personal Best (PB) goals in the achievement and behavioral engagement of students with ADHD and students without ADHD. Contemporary Educational Psychology, 37, 91105. doi.org/10.1016/j.cedpsych.2012.01.002CrossRefGoogle Scholar
Martin, A.J. (2013). Improving the achievement, motivation, and engagement of students with ADHD: The role of personal best goals and other growth-based approaches. Australian Journal of Guidance and Counselling, 23, 143155. doi.org/10.1017/jgc.2013.4CrossRefGoogle Scholar
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, 118.CrossRefGoogle Scholar
Martin, A.J., & Elliot, A.J. (2014). The role of personal best (PB) goals in students’ academic outcomes: An experimental investigation of achievement growth. Manuscript submitted for publication.Google Scholar
Martin, A.J., & Liem, G.A. (2010). Academic personal bests (PBs), engagement, and achievement: A cross-lagged panel analysis. Learning and Individual Differences, 20, 265270. doi.org/10.1016/j.lindif.2010.01.001CrossRefGoogle Scholar
Masters, G.N. (2013). Towards a growth mindset in assessment (ACER Occasional Essays — October 2013). Melbourne, Australia: ACER. Retrieved from http://research.acer.edu.au/ar_misc/17Google Scholar
Minium, E.M. (1978). Statistical reasoning in psychology and education. New York: Wiley.Google Scholar
Office of the Chief Scientist. (2012). Health of Australian science. Canberra, Australia: Author.Google Scholar
Schwan, S., Grajal, A., & Lewalter, D. (2014). Understanding and engagement in places of science experience: Science museums, science centers, zoos, and aquariums. Educational Psychologist, 49 (2), 7085.CrossRefGoogle Scholar
Slavin, R. (1980). Effects of individual learning expectations on student achievement. Journal of Educational Psychology, 72, 520524. doi.org/10.1037/0022-0663.72.4.520CrossRefGoogle Scholar
Thomson, S., De Bortoli, L., Nicholas, M., Hillman, K., & Buckley, S. (2010). PISA in brief: Highlights from the full Australian report. Melbourne: ACER.Google Scholar
Watt, H.M., Shapka, J.D., Morris, Z.A., Durik, A.M., Keating, D.P., & Eccles, J.S. (2012). Gendered motivational processes affecting high school mathematics participation, educational aspirations, and career plans: A comparison of samples from Australia, Canada, and the United States. Developmental Psychology, 48, 15941611.CrossRefGoogle Scholar
Winer, B.J., Brown, D.R., & Michels, K.M. (1991). Statistical principles in experimental design. New York, NY: McGraw-Hill.Google Scholar
Yu, K., & Martin, A.J. (2014). Personal best (PB) and ‘classic’ achievement goals in the Chinese context: Their role in predicting academic motivation, engagement, and buoyancy. Educational Psychology: An International Journal of Experimental Educational Psychology, 34, 635658.CrossRefGoogle Scholar