Embedding Computational Thinking in STEM Education: A Comprehensive Literature Review
DOI:
https://doi.org/10.61142/esj.v3i1.203Keywords:
Computational thinking, STEM Education, Literature ReviewAbstract
The study of incorporating computational thinking (CT) into science, technology, engineering, and mathematics (STEM) education has gained interest. We carried out a semi-systematic review of 50 empirical papers on this topic. Our findings highlighted the following crucial points: (a) the majority of research utilized domain-general descriptions for CT, while a few studies suggested domain-specific terms that addressed STEM education; (b) problem-based instruction developed as the most common teaching approach, with popular contextual topics including game design, robotics, and computational modelling; (c) assessments of student learning in combined CT and STEM varied in objectives and formats, with approximately one-third evaluating both CT and STEM integration. Based on our findings, we make recommendations for future study and implementation, with an emphasis on defining and evaluating CT in STEM contexts, developing successful instructional strategies for incorporating CT into STEM, and investigating approaches to promote inclusiveness in integrated CT and STEM education.
References
Basu, S., Biswas, G., Sengupta, P., Dickes, A., Kinnebrew, J. S., & Clark, D. (2016). Identifying middle school students’ challenges in computational thinking-based science learning. Research and Practice in Technology Enhanced Learning, 11(1), 13. https://doi.org/10.1186/s41039-016-0036-2
Bybee, R. W. (2013). The case for STEM education: Challenges and opportunities.
Chondrogiannis, E., Symeonaki, E., Papachristos, D., Loukatos, D., & Arvanitis, K. G. (2021). Computational thinking and STEM in agriculture vocational training: A case study in a Greek vocational education institution. European Journal of Investigation in Health, Psychology and Education, 11(1), 230–250. https://doi.org/10.3390/ejihpe11010018
Çiftçi, A., & Topçu, M. S. (2023). Improving early childhood pre-service teachers’ computational thinking teaching self-efficacy beliefs in a STEM course. Research in Science & Technological Education, 41(4), 1215–1241. https://doi.org/10.1080/02635143.2022.2036117
Dolgopolovas, V., & Dagiene, V. (2024). Competency‐based TPACK approaches to computational thinking and integrated STEM: A conceptual exploration. Computer Applications in Engineering Education, 32(6), e22788. https://doi.org/10.1002/cae.22788
Günbatar, M. S. (2019). Computational thinking within the context of professional life: Change in CT skill from the viewpoint of teachers. Education and Information Technologies, 24(5), 2629–2652. https://doi.org/10.1007/s10639-019-09919-x
Hidayat, F. A., Isnawati, I., & Ramadany, L. D. (2024). Profile of science practicum course, logical thinking ability, and systems thinking for prospective science teacher students in sorong regency. Equator Science Journal, 2(2), 39–48. https://doi.org/10.61142/esj.v2i2.114
Hoeg, D. G., & Bencze, J. L. (2017). Values underpinning STEM education in the USA: An analysis of the next generation science standards. Science Education, 101(2), 278–301. https://doi.org/10.1002/sce.21260
Li, Y., Schoenfeld, A. H., diSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). On computational thinking and STEM education. Journal for STEM Education Research, 3(2), 147–166. https://doi.org/10.1007/s41979-020-00044-w
Mahardika, N. A., Ariani, T., & Lovisia, E. (2024). Analysis of student learning motivation through the predict, observe, explain (POE) learning model. Equator Science Journal, 2(1), 1–6. https://doi.org/10.61142/esj.v2i1.110
Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence, and 21st century skills when learning programming in K-9. Education Inquiry, 11(1), 1–17. https://doi.org/10.1080/20004508.2019.1627844
Ogegbo, A. A., & Ramnarain, U. (2022). A systematic review of computational thinking in science classrooms. Studies in Science Education, 58(2), 203–230. https://doi.org/10.1080/03057267.2021.1963580
Penuel, W. R., Harris, C. J., & DeBarger, A. H. (2015). Implementing the next generation science standards. Phi Delta Kappan, 96(6), 45–49. https://doi.org/10.1177/0031721715575299
Swaid, S. I. (2015). Bringing computational thinking to STEM education. Procedia Manufacturing, 3, 3657–3662. https://doi.org/10.1016/j.promfg.2015.07.761
Wang, C., Shen, J., & Chao, J. (2022). Integrating computational thinking in STEM education: A literature review. International Journal of Science and Mathematics Education, 20(8), 1949–1972. https://doi.org/10.1007/s10763-021-10227-5
Zunder, T. H. (2021). A semi-systematic literature review, identifying research opportunities for more sustainable, receiver-led inbound urban logistics flows to large higher education institutions. European Transport Research Review, 13(1), 28. https://doi.org/10.1186/s12544-021-00487-1
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