Abstract
This study examined the impact of several factors on the decision of 18-19 year old Canadian and Swedish students as to whether or not to enroll in STEM studies at university. Amongst the factors that were examined were: student perceptions of their learning environment in science and mathematics classes; cognitive style (systemizing); learning anxiety; and, intrinsic motivation. A theoretical model of relationships between these factors and the decision to pursue STEM studies was hypothesized. Structural Equation Modeling was used to test the model and its gender invariance. The model was determined to be gender invariant, and suggests that the “gender gap” may in fact in part be a “systemizing gap”. The root causes for any effectiveness of an interdisciplinary approach to STEM education are probably many, but it is likely that overcoming this systemizing gap may be one of them.
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Adams, W. K., Perkins, K. K., Dubson, M., Finkelstein N. D. & Wieman C. E. (2004).The Design and Validation of the Colorado Learning Attitudes about Science Survey. PERC Proceedings,retrieved from http://www.colorado.edu/sei/class/ on March 14, 2011.
Andrew J, Cooke M, Muncer SJ. The relationship between empathy and Machiavellianism: An alternative to empathizing-systemizing theory. Personality and Individual Differences. 2008;44:1203–1211.
Baron-Cohen S, Richler J, Bisarya D, Gurunathan N, Wheelwright S. The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. Philosophical Transactions of the Royal Society B: Biological Sciences. 2003;358:361–374.
Benbow, C. P., Lubinski, D., Shea D. L. &Eftekhari-Sanjani, H. (2000). Sex Differences in Mathematical Reasoning Ability at Age 13: Their Status 20 Years Later. Psychological Science, 2(6), 474-480.
Bentler PM. EQS structural equations program manual. Encino, CA: Multivariate Software; 2006.
Billington J, Baron-Cohen S, Wheelwright S. Cognitive style predicts entry into physical sciences and humanities: Questionnaire and performance tests of empathy and systemizing. Learning and Individual Differences. 2007;17:260–268.
Black AE, Deci EL. The Effects of Instructors' Autonomy Support and Students' Autonomous Motivation on Learning Organic Chemistry: Self-Determination Perspective. Science Education. 2000;84(6):740–766.
Byrne BM. Structural equation modeling with EQS and EQS/Windows: Basic concepts, application and programming. Mahwah, N.J.: Lawrence Erlbaum Associates; 2006.
Dedic, H., Rosenfield, S. &Jungert, T. (in press). The Gender Gap in Science Studies: Cognitive Skill, Not Cognitive Ability, PedagogieCollegiale.
Delisle M-N, Guay F, Senecal C, Larose S. Predicting Stereotype Endorsement and Academic Motivation in Women in Science Programs: A Longitudinal Model. Learning and Individual Differences. 2009;19:468–475.
Halloun I, Hestenes D. Interpreting VASS Dimensions and Profiles for Physics Students. Science & Education. 1998;7(6):553–577.
Halpern, D. F. &LaMay, M. L. (2000). The Smarter Sex: A Critical Review of Sex Differences in Intelligence. Educational Psychology Review, 12(2), 229-246.
Lowell, B. L., Salzman, H., Bernstein, H.& Henderson, E. (2009).Steady as she goes? Three generations of students through the science and engineering pipeline. Institute for the Study of International Migration, Georgetown University; Heldrich Center for Workforce Development, Rutgers University, & the Urban Institute. Retrieved March 4, 2011, from: http://www.heldrich.rutgers.edu/publication/steady-she-goes-three-generations-students-through-science-and-engineering-pipeline%E2%80%A8
Maehr ML, Midgley C. Enhancing Student Motivation: ASchoolwide Approach. Educational Psychologist. 1991;26(3 & 4):399–427.
Marsh HW, Richards GE, Johnson S, Roche L, Tremayne P. Physical selfdescription questionnaire: Psychometric properties and a multitrait-multimethod analysis of relations to existing instruments. Journal of Sport and Exercise Psychology. 1994;16:270–305.
National Science Foundation: Division of Science Resources Statistics(2004).Education, Women, Minorities, and Persons with Disabilities in Science and Engineering. NSF 04-317, Arlington, VA. Retrieved March 4, 2011, from http://www.nsf.gov/statistics/wmpd/pdf/nsf04317.pdf
OECD (2006).Evolution of student interest in science and technology studies (Policy report). Global Science Forum: Organization for Economic Co-operation and Development. Retrieved March 4, 2011 from: http://www.oecd.org/dataoecd/16/30/36645825.pdf.
Pekrun, R., Goetz, T., Titz, W.& Perry, R. P. (2002). Academic emotions in students' self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91-105.
Ratelle CF, Guay F, Vallerand RJ, Larose S, Senécal C. Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis. Journal of Educational Psychology. 2007;99(4):734–746.
Rosenfield, S., Dedic, H., Dickie, L. O., Rosenfield, E., Aulls, M., Koestner, R., Krishtalka, A., Milkman, K.&Abrami, P. (2005).Étude des facteurs aptes à influencer la réussite et la rétention dans les programmes de sciences aux cégeps anglophones (Rapport de recherche,FQRSC Action Concertée Grant 2003-PRS-89553.). Montréal, QC: Vanier College.
Ruthig, J. C., Hladkyj, S., Hall, N. C., Pekrun, R.& Perry, R. P. (2002,April). Profiling voluntary course withdrawal among college students: A longitudinal study with motivational implications. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA.
Ryan, R. M.& Deci, E. L. (2000). Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being. American Psychologist, 55, 1, 68-78.
Seymour E, Hewitt N. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview; 1997.
Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011).STEMing the Tide: Using Ingroup Experts to Inoculate Women's Self-Concept in Science, Technology, Engineering, and Mathematics (STEM). Journal of Personality and Social Psychology,100(2), 255-270.
Tobias, S. (1990). They’re not dumb, they're different: Stalking the second tier. An occasional paper on neglected problems in science education. Tucson, AR: Research Corporation.
Vallerand RJ, Pelletier LG, Blais MR, Brière NM, Senécal CB, Vallières EF. The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement. 1992;52:1003–1019.
Vallerand RJ, Fortier MS, Guay F. Self-determinationand persistence in a real-lifesetting: Toward a motivational model of high school dropout. Journal of Personality and Social Psychology. 1997;72:1161–1176.
Von Horn, A., Backman, L., Davidsson, T. & Hansen, S. (2010). Empathizing, systemizing and finger length ratio in a Swedish sample.Scandinavian Journal of Psychology, 51(1), 31-37.
Xie, Y. &Shauman, K. A. (2003). Women in Science: Career Processes and Outcomes.p.p. 3-4, Cambridge, MA: Harvard University Press.
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Dedic, H., Jungert, T., Rosenfield, S. (2012). Roles that Gender, Systemizing and Teacher Support Play in STEM Education. In: Béraud, A., Godfroy, AS., Michel, J. (eds) GIEE 2011: Gender and Interdisciplinary Education for Engineers. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6091-982-4_9
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DOI: https://doi.org/10.1007/978-94-6091-982-4_9
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