Static and dynamic assessment of STEM gender stereotypes in secondary education using a novel cluster-based analysis
Author:
Funder
universitat politècnica de valència
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,Education
Link
https://link.springer.com/content/pdf/10.1007/s10798-022-09746-1.pdf
Reference37 articles.
1. Andrews, M. E., Patrick, A. D., & Borrego, M. (2021). Engineering students’ attitudinal beliefs by gender and student division: A methodological comparison of changes over time. International Journal of STEM Education. https://doi.org/10.1186/s40594-020-00269-6
2. Barth, J. M., Guadagno, R. E., Rice, L., Eno, C. A., & Minney, J. A. (2015). Untangling life goals and occupational stereotypes in men’s and women’s career interest. Sex Roles, 73, 502–518. https://doi.org/10.1007/s11199-015-0537-2
3. Berg, T., Sharpe, A., & Aitkin, E. (2018). Females in computing: Understanding stereotypes through collaborative picturing. Computers & Education, 126, 105–114.
4. Bezdek, J. C. (1981). Pattern recognition with fuzzy objective function algorithms. Plenum Press.
5. Botella, C., Rueda, S., López-Iñesta, E., & Marzal, P. (2019). Gender diversity in STEM disciplines: A multiple factor problem. Entropy, 21, 30. https://doi.org/10.3390/e21010030
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