What’s Self-Belief Got to Do, Got to Do with It?
Abstract
Adult learners face many challenges in education, and successful completion of mathematics courses continues to be one of these challenges. While there are many reasons for these challenges, two critical challenges are learners’ mathematical self-concept and mathematical self-efficacy. Why are these beliefs so important for a learner to successfully complete college mathematics courses? What are some possible ways to improve these beliefs? Join me for “What’s self-belief got to do, got to do with it?” and we will answer some of these questions, examine some of the existing research to help our students, and share some other strategies that have worked for you.
Outline
- What is mathematical self-concept?
- What is mathematical self-efficacy?
- How bad is it really?
- Why are these beliefs so important for a learner?
- What are some possible ways to improve these beliefs?
- Examine some of the existing research to help our students.
- Share some other strategies that have worked for you.
References
Azar, F. S., & Mahmoudi, L. (2014). Relationship between mathematics, self-efficacy and students’ performance in statistics : The meditational role of attitude toward mathematics and mathematics anxiety. Journal of Educational Sciences & Psychology, IV(1), 32–42.
Betz, N. E., & Hackett, G. (1983). The relationship of mathematics self-efficacy expectations to the selection of science-based college majors. Journal of Vocational Behavior, 23(3), 329–345. http://doi.org/10.1016/0001-8791(83)90046-5
Boaler, J., & Sengupta-Irving, T. (2016). The many colors of algebra: The impact of equity focused teaching upon student learning and engagement. Journal of Mathematical Behavior. http://doi.org/10.1016/j.jmathb.2015.10.007
Finlayson, M. (2014). Addressing math anxiety in the classroom. Improving Schools, 17(1), 99–115. http://doi.org/10.1177/1365480214521457
Franceschini, G., Galli, S., Chiesi, F., & Primi, C. (2014). Implicit gender–math stereotype and women’s susceptibility to stereotype threat and stereotype lift. Learning and Individual Differences, 32, 273–277. http://doi.org/10.1016/j.lindif.2014.03.020
Guo, J., Parker, P. D., Marsh, H. W., & Morin, A. J. S. (2015). Achievement, motivation, and educational choices: A longitudinal study of expectancy and value using a multiplicative perspective. Developmental Psychology, 51(8), 1163–1176. http://doi.org/10.1037/a0039440
Knowles, M., Holton, E., & Swanson, R. (2015). The adult learner: The definitive classic in adult education and human resource development. The Adult Learner The Definitive Classic in Adult Education and Human Resources Development. Routledge. http://doi.org/9780750678377 ET – 6th LA – English
Jackson, D. C., & Johnson, E. D. (2013). A hybrid model of mathematics support for science students emphasizing basic skills and discipline relevance. International Journal of Mathematical Education in Science and Technology, 44(6), 846–864. http://doi.org/10.1080/0020739X.2013.808769
Jameson, M. M., & Fusco, B. R. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Education Quarterly, 64(4), 306–322. http://doi.org/10.1177/0741713614541461
Ke, F. (2013). Computer-game-based tutoring of mathematics. Computers and Education, 60(1), 448–457. http://doi.org/10.1016/j.compedu.2012.08.012
Lazarides, R., & Watt, H. M. G. (2015). Girls’ and boys’ perceived mathematics teacher beliefs, classroom learning environments and mathematical career intentions. Contemporary Educational Psychology, 41, 51–61. http://doi.org/10.1016/j.cedpsych.2014.11.005
McDonald, B. (2013). A Step-by-Step teaching technique for teachers with adult students of mathematics. Adult Education Quarterly, 63(4), 357–372. http://doi.org/10.1177/0741713613490222
Mesa, V. (2012). Achievement goal orientations of community college mathematics students and the misalignment of instructor perceptions. Community College Review, 40(1), 46–74. http://doi.org/10.1177/0091552111435663
Musu-Gillette, L. E., Wigfield, A., Harring, J. R., & Eccles, J. S. (2015). Trajectories of change in students’ self-concepts of ability and values in math and college major choice. Educational Research and Evaluation, 21(4), 343–370. http://doi.org/http://dx.doi.org/10.1080/13803611.2015.1057161
Pareto, L., Haake, M., Lindström, P., Sjödén, B., & Gulz, A. (2012). A teachable-agent-based game affording collaboration and competition: Evaluating math comprehension and motivation. Educational Technology Research and Development, 60, 723–751. http://doi.org/10.1007/s11423-012-9246-5
Parker, P. D., Marsh, H. W., Ciarrochi, J., Marshall, S., & Abduljabbar, A. S. (2014). Juxtaposing math self-efficacy and self-concept as predictors of long-term achievement outcomes. Educational Psychology, 34(1), 29–48. http://doi.org/10.1080/01443410.2013.797339
Raelin, J. A., Bailey, M. B., Hamann, J., Pendleton, L. K., Reisberg, R., & Whitman, D. L. (2014). The Gendered Effect of Cooperative Education, Contextual Support, and Self-Efficacy on Undergraduate Retention. Journal of Engineering Education, 103(4), 599–624. http://doi.org/10.1002/jee.20060
Stankov, L., Lee, J., Luo, W., & Hogan, D. J. (2012). Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety? Learning and Individual Differences, 22(6), 747–758. http://doi.org/10.1016/j.lindif.2012.05.013
Presented:
November 2016 Innovations in Teaching Symposium, Harrisburg, PA
October 2016: Kaplan University Village, online