Mechanistic reasoning in science education: A literature review
Author:
Affiliation:
1. Freudenthal Institute, Utrecht University, Utrecht, THE NETHERLANDS
2. Faculty of Teacher Training and Education, University of Jember, Jember, East Java, INDONESIA
Abstract
Publisher
Modestum Publishing Ltd
Subject
Applied Mathematics,Education
Link
https://www.ejmste.com/download/mechanistic-reasoning-in-science-education-a-literature-review-12512.pdf
Reference72 articles.
1. Bachtiar, R. W., Meulenbroeks, R. F. G., & van Joolingen, W. R. (2021). Stimulating mechanistic reasoning in physics using student-constructed stop-motion animations. Journal of Science Education and Technology, 30(6), 777-790. https://doi.org/10.1007/s10956-021-09918-z
2. Balabanoff, M. E., Al Fulaiti, H., Bhusal, S., Harrold, A., & Moon, A. C. (2020). An exploration of chemistry students’ conceptions of light and light-matter interactions in the context of the photoelectric effect. International Journal of Science Education, 42(6), 861-881. https://doi.org/10.1080/09500693.2020.1736358
3. Becker, N., Noyes, K., & Cooper, M. (2016). Characterizing students’ mechanistic reasoning about London dispersion forces. Journal of Chemical Education, 93(10), 1713-1724. https://doi.org/10.1021/acs.jchemed.6b00298
4. Bolger, M. S., Kobiela, M., Weinberg, P. J., & Lehrer, R. (2012). Children’s mechanistic reasoning. Cognition and Instruction, 30(2), 170-206. https://doi.org/10.1080/07370008.2012.661815
5. Brown, S. A., Ronfard, S., & Kelemen, D. (2020). Teaching natural selection in early elementary classrooms: Can a storybook intervention reduce teleological misunderstandings? Evolution: Education and Outreach, 13, 12. https://doi.org/10.1186/s12052-020-00127-7
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Understanding how student‐constructed stop‐motion animations promote mechanistic reasoning: A theoretical framework and empirical evidence;Journal of Research in Science Teaching;2023-07-18
2. When a machine detects student reasoning: a review of machine learning-based formative assessment of mechanistic reasoning;Chemistry Education Research and Practice;2023
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