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Using the Social Cognitive Theory Framework to Chart Gender Differences in the Developmental Trajectory of STEM Self-Efficacy in Science and Engineering Students

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Abstract

According to Bandura’s social cognitive theory, a student’s self-efficacy influences his or her academic and career decisions, and his or her performance outcomes; as such, a student’s self-efficacy changes with time in response to the student’s experiences. Self-efficacy may also vary by academic domain. Differences in STEM self-efficacy have often been reported between men and women. The purpose of this study is to explore the evolution of domain-specific STEM self-efficacy in students in gateway physics and mathematics courses and how academic feedback influences the evolution of these differences with time. Further, this study explored whether gender differences in self-efficacy are consistent across STEM domains and how these differences change in response to academic feedback. Self-efficacy in multiple academic domains (current mathematics/science class, other STEM classes, and intended profession) was assessed at multiple time points with subscales adapted from the Motivated Strategies for Learning Questionnaire. Linear mixed effects modeling was used to understand how academic feedback provided by test scores influenced changes in self-efficacy. Students in all classes expressed different levels of self-efficacy toward different domains with the lowest self-efficacy toward their current class and the highest toward their intended profession. Only the current math/science class self-efficacy of men and women differed significantly, with women expressing lower self-efficacy. The differences in current class self-efficacy were evident very early in the class before substantive class feedback was received. The evolution of self-efficacy within the class and between classes was the same for men and women.

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References

  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.

    Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Upper Saddle River: Prentice-Hall, Inc..

    Google Scholar 

  • Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148.

    Google Scholar 

  • Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of Human Behavior (Vol. 4, pp. 71–81). New York: Academic Press.

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The Exercise of Control. New York: Freeman.

    Google Scholar 

  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823.

  • Besterfield-Sacre, M., Moreno, M., Shuman, L. J., & Atman, C. J. (2001). Gender and ethnicity differences in freshmen engineering student attitudes: a cross-institutional study. Journal of Engineering Education, 90(4), 477–489.

    Google Scholar 

  • Betz, N. E., & Hackett, G. (1981). The relationship of career-related self-efficacy expectations to perceived career options in college women and men. Journal of Counseling Psychology, 28(5), 399–410.

    Google Scholar 

  • Britner, S. L., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485–499.

    Google Scholar 

  • Britner, S. L. (2008). Motivation in high school science students: a comparison of gender differences in life, physical, and earth science classes. Journal of Research in Science Teaching, 45(8), 955–970. https://doi.org/10.1002/tea.20249.

    Article  Google Scholar 

  • Brown, S. D., Tramayne, S., Hoxha, D., Telander, K., Fan, X., & Lent, R. W. (2008). Social cognitive predictors of college students’ academic performance and persistence: a meta-analytic path analysis. Journal of Vocational Behavior, 72(3), 298–308.

    Google Scholar 

  • Byars-Winston, A., Diestelmann, J., Savoy, J. N., & Hoyt, W. T. (2017). Unique effects and moderators of effects of sources on self-efficacy: a model-based meta-analysis. Journal of Counseling Psychology, 64(6), 645–658.

    Google Scholar 

  • Caprara, G. V., Vecchione, M., Alessandri, G., Gerbino, M., & Barbaranelli, C. (2011). The contribution of personality traits and self-efficacy beliefs to academic achievement: longitudinal study. British Journal of Educational Psychology, 81(1), 78–96.

    Google Scholar 

  • Cavallo, A. M., Potter, W. H., & Rozman, M. (2004). Gender differences in learning constructs, shifts in learning constructs, and their relationship to course achievement in a structured inquiry, yearlong college physics course for life science majors. School Science and Mathematics, 104(6), 288–300.

    Google Scholar 

  • Cech, E., Rubineau, B., Silbey, S., & Seron, C. (2011). Professional role confidence and gendered persistence in engineering. American Sociological Review, 76(5), 641–666.

    Google Scholar 

  • Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35.

    Google Scholar 

  • Concannon, J. P., & Barrow, L. H. (2009). A cross-sectional study of engineering students’ self-efficacy by gender, ethnicity, year, and transfer status. Journal of Science Education and Technology, 18(2), 163–172.

    Google Scholar 

  • Concannon, J. P., & Barrow, L. H. (2012). A reanalysis of engineering majors’ self-efficacy beliefs. Journal of Science Education and Technology, 21(6), 742–753.

    Google Scholar 

  • Dalgety, J., & Coll, R. K. (2006). Exploring first-year science students’ chemistry self-efficacy. International Journal of Science and Mathematics Education, 4(1), 97–116.

    Google Scholar 

  • Duncan, T. G., & McKeachie, W. J. (2005). The making of the Motivated Strategies for Learning Questionnaire. Educational Psychologist, 40(2), 117–128.

    Google Scholar 

  • Hackett, G., Betz, N. E., Casas, J. M., & Rocha-Singh, I. A. (1992). Gender, ethnicity, and social cognitive factors predicting the academic achievement of students in engineering. Journal of Counseling Psychology, 39(4), 527–538.

    Google Scholar 

  • Hall, J. M., & Ponton, M. K. (2005). Mathematics self-efficacy of college freshman. Journal of Developmental Education, 28(3), 26–32.

    Google Scholar 

  • Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. C. (2010). Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: a gender study. Journal of Research in Science Teaching, 47(8), 978–1003.

    Google Scholar 

  • Hilpert, J. C., Stempien, J., van der Hoeven Kraft, K. J., & Husman, J. (2013). Evidence for the latent factor structure of the MSLQ: a new conceptualization of an established questionnaire. SAGE Open, 3(4), 2158244013510305.

    Google Scholar 

  • Huang, C. (2013). Gender differences in academic self-efficacy: a meta-analysis. European Journal of Psychology of Education, 28(1), 1–35.

    Google Scholar 

  • Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self-efficacy beliefs of first-year engineering students. Journal of Engineering Education, 95(1), 39–47.

    Google Scholar 

  • Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children’s self-competence and values: gender and domain differences across grades one through twelve. Child Development, 73(2), 509–527.

    Google Scholar 

  • Jagacinski, C. M. (2013). Women engineering students: competence perceptions and achievement goals in the freshman engineering course. Sex Roles, 69(11–12), 644–657.

    Google Scholar 

  • Kost, L. E., Pollock, S. J., & Finkelstein, N. D. (2009). Unpacking gender differences in students’ perceived experiences in introductory physics. In AIP Conference Proceedings, 1179(1), 177–180. College Park: AIP Publishing.

  • Larose, S., Ratelle, C. F., Guay, F., Senécal, C., & Harvey, M. (2006). Trajectories of science self-efficacy beliefs during the college transition and academic and vocational adjustment in science and technology programs. Educational Research and Evaluation, 12(4), 373–393.

    Google Scholar 

  • Larson, L. M., Pesch, K. M., Surapaneni, S., Bonitz, V. S., Wu, T. F., & Werbel, J. D. (2014). Predicting graduation: the role of mathematics/science self-efficacy. Journal of Career Assessment, 23(3), 399–409.

    Google Scholar 

  • Lent, R. W., Brown, S. D., & Larkin, K. C. (1986). Self-efficacy in the prediction of academic performance and perceived career options. Journal of Counseling Psychology, 33(3), 265.

    Google Scholar 

  • Lent, R. W., Brown, S. D., & Larkin, K. C. (1987). Comparison of three theoretically derived variables in predicting career and academic behavior: self-efficacy, interest congruence, and consequence thinking. Journal of Counseling Psychology, 34(3), 293.

    Google Scholar 

  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122.

    Google Scholar 

  • Lent, R. W., Sheu, H. B., Singley, D., Schmidt, J. A., Schmidt, L. C., & Gloster, C. S. (2008). Longitudinal relations of self-efficacy to outcome expectations, interests, and major choice goals in engineering students. Journal of Vocational Behavior, 73(2), 328–335.

    Google Scholar 

  • Lindstrøm, C., & Sharma, M. D. (2011). Self-efficacy of first year university physics students: do gender and prior formal instruction in physics matter?. International Journal of Innovation in Science and. Mathematics Education, 19(2), 1–19.

    Google Scholar 

  • Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students’ engineering self-efficacy: a validation study. Journal of Engineering Education, 105(2), 366–395.

    Google Scholar 

  • Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009). Women engineering students and self-efficacy: a multi-year, multi-institution study of women engineering student self-efficacy. Journal of Engineering Education, 98(1), 27–38.

    Google Scholar 

  • Marshman, E. M., Kalender, Z. Y., Nokes-Malach, T., Schunn, C., & Singh, C. (2018). Female students with A’s have similar physics self-efficacy as male students with C’s in introductory courses: a cause for alarm? Physical Review Physics Education Research, 14(2), 020123.

    Google Scholar 

  • Nissen, J. M. (2019). Gender differences in self-efficacy states in high school physics. Physical Review Physics Education Research, 15(1), 013102.

    Google Scholar 

  • Pajares, F., & Graham, L. (1999). Self-efficacy, motivation constructs, and mathematics performance of entering middle school students. Contemporary Educational Psychology, 24(2), 124–139.

    Google Scholar 

  • Pajares, F., & Miller, M. D. (1995). Mathematics self-efficacy and mathematics performances: the need for specificity of assessments. Journal of Counseling Psychology, 42(2), 190–198.

    Google Scholar 

  • Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1991). A Manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor: National Center for Research to Improve Postsecondary Teaching and Learning.

    Google Scholar 

  • Pintrich, P. R., Smith, D. A., García, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813.

    Google Scholar 

  • Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: a systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387.

    Google Scholar 

  • Sawtelle, V., Brewe, E., Goertzen, R. M., & Kramer, L. H. (2012a). Identifying events that impact self-efficacy in physics learning. Physical Review Physics Education Research, 8(2), 020111.

    Google Scholar 

  • Sawtelle, V., Brewe, E., & Kramer, L. H. (2012b). Exploring the relationship between self-efficacy and retention in introductory physics. Journal of Research in Science Teaching, 49(9), 1096–1121.

    Google Scholar 

  • Schunk, D. H., & Ertmer, P. (2000). Self-regulation and academic learning: self-efficacy enhancing interventions. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-regulation (pp. 631–649). NY: Academic Press.

    Google Scholar 

  • Schunk, D. H., & Pajares, F. (2007). The development of academic self-efficacy. In A. Wigfield & J. Eccles (Eds.), Development of Achievement Motivation. Hoboken, NJ: Wiley.

    Google Scholar 

  • Shaw, K. A. (2004). The development of a physics self-efficacy instrument for use in the introductory classroom. In Physics Education Research Conference Proceedings, 720(1), 137–140. College Park: AIP Publishing.

    Google Scholar 

  • Uitto, A. (2014). Interest, attitudes and self-efficacy beliefs explaining upper-secondary school students’ orientation toward biology-related careers. International Journal of Science and Mathematics Education, 12(6), 1425–1444.

    Google Scholar 

  • Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: critical review of the literature and future directions. Review of Educational Research, 78(4), 751–796.

    Google Scholar 

  • Vermeer, H. J., Boekaerts, M., & Seegers, G. (2000). Motivational and gender differences: sixth-grade students’ mathematical problem-solving behavior. Journal of Educational Psychology, 92(2), 308–315.

    Google Scholar 

  • Villafañe, S. M., Garcia, C. A., & Lewis, J. E. (2014). Exploring diverse students’ trends in chemistry self-efficacy throughout a semester of college-level preparatory chemistry. Chemistry Education Research and Practice, 15(2), 114–127.

    Google Scholar 

  • Vogt, C. M., Hocevar, D., & Hagedorn, L. S. (2007). A social cognitive construct validation: determining women’s and men’s success in engineering programs. The Journal of Higher Education, 78(3), 337–364.

    Google Scholar 

  • Zeldin, A. L., Britner, S. L., & Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology careers. Journal of Research in Science Teaching, 45(9), 1036–1058.

    Google Scholar 

  • Zeldin, A. L., & Pajares, F. (2000). Against the odds: self-efficacy beliefs of women in mathematical, scientific, and technological careers. American Educational Research Journal, 37, 215–246.

    Google Scholar 

  • Zimmerman, B. J. (2000). Self-efficacy: an essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91.

    Google Scholar 

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Acknowledgements

John Stewart and Rachel Henderson should be considered co-first authors of this manuscript.

Funding

This work was partially supported by the National Science Foundation Education and Human Resources Core Research grant (ECR-1561517).

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Correspondence to John Stewart.

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Stewart, J., Henderson, R., Michaluk, L. et al. Using the Social Cognitive Theory Framework to Chart Gender Differences in the Developmental Trajectory of STEM Self-Efficacy in Science and Engineering Students. J Sci Educ Technol 29, 758–773 (2020). https://doi.org/10.1007/s10956-020-09853-5

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