How Behavioral and Psychological Factors Influence STEM Performance in K-12 Schools: A Mediation Model
Author:
Funder
the National Social Science Fund of China project
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,Education
Link
https://link.springer.com/content/pdf/10.1007/s10956-023-10034-3.pdf
Reference61 articles.
1. Aesaert, K., & van Braak, J. (2014). Exploring factors related to primary school pupils’ ICT self-efficacy: A multilevel approach. Computers in Human Behavior, 41, 327–341. https://doi.org/10.1016/j.chb.2014.10.006
2. Allen, P. J., Chang, R., Gorrall, B. K., Waggenspack, L., Fukuda, E., Little, T. D., & Noam, G. G. (2019). From quality to outcomes: A national study of after school STEM programming. International Journal of STEM Education, 6(1), 37. https://doi.org/10.1186/s40594-019-0191-2
3. Amriza, R., Saintika, Y., & Firmansyah, A. (2022). The Investigation of Student Engagement as Mediator in Ict Readiness and Experience on e- Learning Effectiveness in Post-Pandemic Recovery. https://doi.org/10.1109/ICISS55894.2022.9915172
4. Areepattamannil, S., & Khine, M. S. (2017). Early adolescents’ use of information and communication technologies (ICTs) for social communication in 20 countries: Examining the roles of ICT-related behavioral and motivational characteristics. Computers in Human Behavior, 73, 263–272. https://doi.org/10.1016/j.chb.2017.03.058
5. Bandura, A. (1978). The self system in reciprocal determinism. American Psychologist, 33, 344–358.
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