Article 2024

Integrating Computational Thinking Into Scaffolding Learning: An Innovative Approach to Enhance Science, Technology, Engineering, and Mathematics Hands-On Learning

Journal of Educational Computing Research
Journal · Vol. 62 · Issue 2 · pp. 431-467
Abstract

Science, Technology, Engineering, and Mathematics (STEM) education is essential for developing future-ready learners in both secondary and higher education levels. However, as students transition to higher education, many encounter challenges with independent learning and research. This can negatively impact their Higher-Order Thinking Skills (HOTS), engagement, and practical expertise. This study introduces a solution: Computational Thinking Scaffolding (CTS) in the Jupyter Notebook environment, designed to enhance STEM education at the tertiary level. CTS incorporates five phases: Decomposition, Pattern Recognition, Abstraction, Algorithm Design, and Evaluation. Utilizing a quasi-experimental method, we assessed the impact of CTS on the HOTS, engagement, and practical skills of undergraduate and postgraduate students. Our findings hold substantial relevance for university educators, academic advisors, and curriculum designers aiming to enhance students’ HOTS and hands-on capabilities in STEM disciplines. The results validate the effectiveness of CTS in elevating tertiary STEM learning outcomes, and they spotlight the adaptability of the Jupyter Notebook as a valuable tool in higher education. In conclusion, our research underscores the merits of CTS for improving outcomes in higher STEM education and sets a benchmark for future endeavors in this domain. © The Author(s) 2023.

Keywords

Author Keywords

Higher education Computational thinking Higher-order thinking skills Engagement Scaffolding learning hands-on abilities science, technology, engineering, and mathematics hands-on learning

Index Keywords

Author Affiliations
Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan
Funding & Acknowledgements
National Science and Technology Council, NSTC
Grant: 110-2511-H-006-012-MY3, NSTC 109-2511-H-006-011-MY3
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by the National Science and Technology Council (NSTC), of the Republic of China under Contract numbers NSTC 109-2511-H-006-011-MY3, NSTC 110-2511-H-006-012-MY3.
National Science and Technology Council, NSTC
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by the National Science and Technology Council (NSTC), of the Republic of China under Contract numbers NSTC 109-2511-H-006-011-MY3, NSTC 110-2511-H-006-012-MY3.
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