Enhancing STEM learning with ChatGPT and Bing Chat as objects to think with: A case study
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Published:2023-07-01
Issue:7
Volume:19
Page:em2296
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ISSN:1305-8215
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Container-title:Eurasia Journal of Mathematics, Science and Technology Education
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language:
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Short-container-title:EURASIA J Math Sci Tech Ed
Author:
Vasconcelos Marco Antonio Rodrigues12ORCID, dos Santos Renato P.3ORCID
Affiliation:
1. PPGECIM–Doctoral Program in Science and Mathematics Education ULBRA–Lutheran University of Brazil, Canoas, RS, BRAZIL 2. Secretaria Municipal de Educação, Fortaleza, CE, BRAZIL 3. CIAGE–Center for Generative Artificial Intelligence in Cognition and Education ULBRA–Lutheran University of Brazil, Canoas, RS, BRAZIL
Abstract
This study investigates the potential of ChatGPT and Bing Chat, advanced conversational AIs, as “objects-to-think-with,” resources that foster reflective and critical thinking, and concept comprehension in enhancing STEM education, using a constructionist theoretical framework. A single-case study methodology was used to analyze extensive interaction logs between students and both AI systems in simulated STEM learning experiences. The results highlight the ability of ChatGPT and Bing Chat to help learners develop reflective and critical thinking, creativity, problem-solving skills, and concept comprehension. However, integrating AIs with collaborative learning and other educational activities is crucial, as is addressing potential limitations like concerns about AI information accuracy and reliability of the AIs’ information and diminished human interaction. The study concludes that ChatGPT and Bing Chat as objects-to-think-with offer promising avenues to revolutionize STEM education through a constructionist lens, fostering engagement in inclusive and accessible learning environments.
Subject
Applied Mathematics,Education
Reference33 articles.
1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152 2. Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN. https://doi.org/10.2139/ssrn.4337484 3. Bitzenbauer, P. (2023). ChatGPT in physics education: A pilot study on easy-to-implement activities. Contemporary Educational Technology, 15(3), ep430. https://doi.org/10.30935/cedtech/13176 4. Borji, A. (2023). A categorical archive of ChatGPT failures. ArXiv. https://doi.org/10.21203/rs.3.rs-2895792/v1 5. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language models are few-shot learners. ArXiv. https://doi.org/10.48550/arXiv.2005.14165
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