Integration of Artificial Intelligence (ChatGPT) into Science Teaching and Learning
Abstract
Keywords
Full Text:
PDFReferences
Adams, W. K., & Wieman, C. E. (2007). Problem Solving Skill Evaluation Instrument—Validation Studies. AIP Conference Proceedings, 883, 18–21. https://doi.org/10.1063/1.2508681
Akram, B., Yoder, S., Tatar, C., Boorugu, S., Aderemi, I., & Jiang, S. (2022). Towards an ai-infused interdisciplinary curriculum for middle-grade classrooms. Proceedings of the Aaai Conference on Artificial Intelligence, 36(11), 12681-12688. https://doi.org/10.1609/aaai.v36i11.21544
Alshorman, S. (2024). The readiness to use ai in teaching science: science teachers' perspective. Journal of Baltic Science Education, 23(3), 432-448. https://doi.org/10.33225/jbse/24.23.432
Araújo, J. L., & Saúde, I. (2024). Can ChatGPT Enhance Chemistry Laboratory Teaching? Using Prompt Engineering to Enable AI in Generating Laboratory Activities. Journal of Chemical Education, 101(5), 1858–1864. https://doi.org/10.1021/acs.jchemed.3c00745
Bedolla, E., Padierna, L. C., & Castañeda-Priego, R. (2021). Machine learning for condensed matter physics. Journal of Physics: Condensed Matter, 33(5), 053001. https://doi.org/10.1088/1361-648X/abb895
Borisova, M., Hadzhikoleva, S., & Hadzhikolev, E. (2023). Use of Artificial Intelligence technologies in studying the phenomenon of electric current in physics education. 18, 215–224. https://doi.org/10.58503/icvl-v18y202318
Carrasquilla, J. (2020). Machine learning for quantum matter. Advances in Physics: X, 5(1), 1797528. https://doi.org/10.1080/23746149.2020.1797528
Clark, T. M., Fhaner, M., Stoltzfus, M., & Queen, M. S. (2024). Using ChatGPT to Support Lesson Planning for the Historical Experiments of Thomson, Millikan, and Rutherford. Journal of Chemical Education, 101(5), 1992–1999. https://doi.org/10.1021/acs.jchemed.4c00200
Cui, S., Tseng, H., Pakela, J., Ten Haken, R. K., & El Naqa, I. (2020). Introduction to machine and deep learning for medical physicists. Medical Physics, 47(5). https://doi.org/10.1002/mp.14140
Ding, L., Li, T., Jiang, S., & Gapud, A. (2023). Students’ perceptions of using ChatGPT in a physics class as a virtual tutor. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00434-1
ElSayary, A. (2024). An investigation of teachers’ perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931–945. https://doi.org/10.1111/jcal.12926
Eysenbach, G. (2023). The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation with ChatGPT and a Call for Papers. JMIR Medical Education, 9, e46885. https://doi.org/10.2196/46885
Fahy, S., Niemann, M., Böhm, P., Winkler, T., & Oehme, S. (2024). Assessment of the Quality and Readability of Information Provided by ChatGPT in Relation to the Use of Platelet-Rich Plasma Therapy for Osteoarthritis. Journal of Personalized Medicine, 14(5), 1-12. https://doi.org/10.3390/jpm14050495
Guha, A., Grewal, D., & Atlas, S. (2024). Generative AI and Marketing Education: What the Future Holds. Journal of Marketing Education, 46(1), 6–17. https://doi.org/10.1177/02734753231215436
Hamdan, A. (2024). Ai and machine learning in climate change research: a review of predictive models and environmental impact. World Journal of Advanced Research and Reviews, 21(1), 1999-2008. https://doi.org/10.30574/wjarr.2024.21.1.0257
Harry, A. (2023). Role of AI in Education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268. https://doi.org/10.58631/injurity.v2i3.52
Hutchison, A. (2024). Making Artificial Intelligence Your Friend, Not Your Foe, in the Literacy Classroom. The Reading Teacher, 77(6), 899–908. https://doi.org/10.1002/trtr.2296
Kieser, F., Wulff, P., Kuhn, J., & Küchemann, S. (2023). Educational data augmentation in physics education research using ChatGPT. Physical Review Physics Education Research, 19(2), 1-13. https://doi.org/10.1103/PhysRevPhysEducRes.19.020150
Kucirkova, N., & Leaton Gray, S. (2023). Beyond Personalization: Embracing Democratic Learning Within Artificially Intelligent Systems. Educational Theory, 73(4), 469–489. https://doi.org/10.1111/edth.12590
Kumar, V. & Worsley, M. (2023). Scratch for sports: athletic drills as a platform for experiencing, understanding, and developing ai-driven apps. Proceedings of the Aaai Conference on Artificial Intelligence, 37(13), 16011-16016. https://doi.org/10.1609/aaai.v37i13.26901
Kusters, R., Misevic, D., Berry, H., Cully, A., Cunff, Y., Dandoy, L., … & Wehbi, F. (2020). Interdisciplinary research in artificial intelligence: challenges and opportunities. Frontiers in Big Data, 3. https://doi.org/10.3389/fdata.2020.577974
Liang, Y., Zou, D., Xie, H., & Wang, F. L. (2023). Exploring the potential of using ChatGPT in physics education. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00273-7
Liu, X., Bu, Y., Li, M., & Jiang, L. (2021). Is interdisciplinary collaboration research more disruptive than monodisciplinary research?. Proceedings of the Association for Information Science and Technology, 58(1), 264-272. https://doi.org/10.1002/pra2.454
Luk, C. (2024). Regulating generative AI: Ethical considerations and explainability benchmarks. https://doi.org/10.31219/osf.io/h74gw
Mahligawati, F., Allanas, E., Butarbutar, M. H., & Nordin, N. A. N. (2023). Artificial intelligence in Physics Education: A comprehensive literature review. 2596(1). https://doi.org/10.1088/1742-6596/2596/1/012080
Mardiani, E. (2023). Mapping the landscape of artificial intelligence research: a bibliometric approach. West Science Interdisciplinary Studies, 1(08), 587-599. https://doi.org/10.58812/wsis.v1i08.183
Mustofa, H. A., Bilad, M. R. & Grendis, N. W. B. (2024). Utilizing AI for Physics Problem Solving: A Literature Review and ChatGPT Experience. Lensa: Jurnal Kependidikan Fisika, 12(1), 78–97. https://dx.doi.org/10.33394/j-lkf.v12i1.11748
Muther, T., Dahaghi, A. K., Syed, F. I., & Van Pham, V. (2023). Physical laws meet machine intelligence: Current developments and future directions. Artificial Intelligence Review, 56(7), 6947–7013. https://doi.org/10.1007/s10462-022-10329-8
Oey, L., Destefano, I., Brockbank, E., & Vul, E. (2020). Formalizing interdisciplinary collaboration in the cogsci community. https://doi.org/10.31234/osf.io/y6xz4
Piccione, A., Massa, A. A., Ruggiero, M. L., Serio, M., Rinaudo, M., Marocchi, D., & Marino, T. (2024). Training teachers on new topics and new tools in Physics education. 2693(1). https://doi.org/10.1088/1742-6596/2693/1/012010
Rico, A. M. M., Regueiro, J. M. P., Garcia-Ortiz, C. E., Rabanales, E. G. A., Ontiveros, L. A. O., Lopez, O. O., & Tejeda, S. (2023). Similarities between human and artificial intelligence evaluations applied on engineering students on first-year kinematics learning through an argumentative item. 2023-May. https://doi.org/10.1109/EDUCON54358.2023.10125171
Sallam, M. (2023). ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare, 11(6), 887. https://doi.org/10.3390/healthcare11060887
Saraiva, L. (2024). Moral agency and responsibility in ai systems. International Journal of Philosophy, 3(1), 25-36. https://doi.org/10.47941/ijp.1867
Schmidt, J., Marques, M. R. G., Botti, S., & Marques, M. A. L. (2019). Recent advances and applications of machine learning in solid-state materials science. Npj Computational Materials, 5(1), 83. https://doi.org/10.1038/s41524-019-0221-0
Song, N. (2024). Higher education crisis: Academic misconduct with generative AI. Journal of Contingencies and Crisis Management, 32(1), e12532. https://doi.org/10.1111/1468-5973.12532
Thaler, J., Williams, M., & LaFleur, M. (2024). Institute for Artificial Intelligence and Fundamental Interactions (IAIFI): Infusing physics intelligence into artificial intelligence. AI Magazine, 45(1), 111–116. https://doi.org/10.1002/aaai.12150
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
Tschisgale, P., Wulff, P., & Kubsch, M. (2023). Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory. Physical Review Physics Education Research, 19(2). https://doi.org/10.1103/PhysRevPhysEducRes.19.020123
Tyson, J. (2023). Shortcomings of ChatGPT. Journal of Chemical Education, 100(8), 3098–3101. https://doi.org/10.1021/acs.jchemed.3c00361
Wang, K. D., Burkholder, E., Wieman, C., Salehi, S., & Haber, N. (2023). Examining the potential and pitfalls of ChatGPT in science and engineering problem-solving. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1330486
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716
Xu, Z., Fang, Q., Huang, Y., & Xie, M. (2024). The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling. PLOS ONE, 19(5), e0302502. https://doi.org/10.1371/journal.pone.0302502
Yeadon, W., & Hardy, T. (2024). The impact of AI in physics education: A comprehensive review from GCSE to university levels. Physics Education, 59(2). https://doi.org/10.1088/1361-6552/ad1fa2
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zhu, Y., & Yu, K. (2023). Artificial intelligence (AI) for quantum and quantum for AI. Optical and Quantum Electronics, 55(8). https://doi.org/10.1007/s11082-023-04914-6
DOI: https://doi.org/10.33394/ijete.v2i1.14195
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
International Journal of Ethnoscience and Technology in Education is licensed under CC BY-SA 4.0