ISSN: 2226-6348
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This study aimed to enhance pre-service teachers’ understanding of pedagogical key ideas by integrating ChatGPT in the open and distance learning (ODL) pedagogy course tutorials. Purposive sampling was employed in this case study to select nine pre-service teachers from an ODL university. Data were collected through the participants’ reflective reports, video recordings of their presentation of reflective reports, and revised reflective reports. Descriptive statistics and Friedman test with post hoc Wilcoxon signed rank tests were used to analyze the data. The findings showed that 55.56% of the participants achieved a substantial understanding of pedagogical key ideas in their initial reflective reports and their presentation of reflective reports, respectively, while 44.45% achieved a partial understanding. The participants improved in their revised reflective reports after incorporating feedback from the tutor and peers, with 55.56% achieved a high understanding of pedagogical key ideas, 33.33% achieved a substantial understanding, while 11.10% achieved a partial understanding. The Friedman test with post hoc Wilcoxon signed rank tests showed that there was a significant difference in the participants’ understanding of pedagogical key ideas before and after, and during and after the tutorials.
Bailey, D. R., & Lee, A. R. (2020). Learning from Experience in the Midst of COVID-19: Benefits, Challenges, and Strategies in Online Teaching. Computer-Assisted Language Learning Electronic Journal, 21(2), 178-198.
Biggs, J., & Tang, C. (2011). Teaching for quality learning at university: What the student does (4th ed.). McGraw-Hill Education.
Bitzenbauer, P. (2023). ChatGPT in physics education: A pilot study on easy-to-implement activities. Contemporary Educational Technology, 15(3), ep430.
Cacicio, S., & Riggs, R. (2023). ChatGPT: Leveraging AI to support personalized teaching and learning. Adult Literacy Education, 70-74. http://doi.org/10.35847/SCacicio.RRiggs.5.2.70
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
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(63), 1-18. https://doi.org/10.1186/s41239-023-00434-1
Firat, M. (2023). How ChatGPT can transform autodidactic experiences and open education. Open Learning: The Journal of Open, Distance and e-Learning, 38(2), 105–120.
Goh, C. C. M., & Burns, A. (2012). Teaching speaking: A holistic approach. Cambridge University Press.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Globethics Publications. 10.58863/20.500.12424/4276068
Hyland, K. (2019). Second language writing (2nd ed.) Cambridge University Press.
Joseph, G. V. Athira, P., Anit Thomas, M., Jose, D., Roy, T. V., Prasad, M. (2024). Impact of digital literacy, use of AI tools and peer collaboration on AI assisted learning: Perceptions of the university students. Digital Education Review, 45, 43-49. https://doi.org/ 10.1344/der.2024.45.43-49
Kasneci, E., Sessler, K., & Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Schmidt, S. A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education, Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274.
Khosravi, H., Buckingham Shum, S., Chen, G., Conati, C., Tsai, Y-S., Kay, J., Knight, S., Martinez-Maldonado, R., Shazia Sadiq, S., & Gaševi?, D. (2022). Explainable Artificial Intelligence in education, Computers and Education: Artificial Intelligence, 3, 100074. https://doi.org/10.1016/j.caeai.2022.100074.
Kim, S., Shim, J., & Shim, J. (2023). A study on the utilization of OpenAI ChatGPT as a second language learning tool. Journal of Multimedia Information System, 10(1), 79–88. https://doi.org/10.33851/JMIS.2023.10.1.79
Knight, P. (2012). Assessment for learning in higher education. Routledge. https://doi.org/10.4324/9780203062074
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
Lee, J., & VanPatten, B. (2020). Making communicative language teaching happen (3rd ed.). McGraw-Hill Education.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
MacIntyre, P. D., & Gregersen, T. (2012). Emotions that facilitate language learning: The positive-broadening power of the imagination. Studies in Second Language Learning and Teaching, 2(2), 193-213.
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press.
Morreale, S. P., Pearson, J. C., & Nelson, P. E. (2007). Human communication: Motivation, knowledge, and skills. Wadsworth.
Paul, J., Ueno, A., & Dennis, C. (2023). ChatGPT and consumers: Benefits, pitfalls, and future research agenda. International Journal of Consumer Studies, 47(4), 1213–1225. https://doi.org/10.1111/ijcs.12928
Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait, Kuwait, 1-9. doi: 10.1109/EDUCON54358.2023.10125121.
Qureshi, B. (2023). Exploring the use of ChatGPT as a tool for learning and assessment in undergraduate computer science curriculum: Opportunities and challenges. https://doi.org/10.48550/arXiv.2304.11214
Reyna, J. (2023). AI in the classroom: A comprehensive framework for ChatGPT integration in teaching and learning in higher education. ResearchGate
Rusandi, M. A., Ahman, Saripah, I., Khairun, D. Y., & Mutmainnah. (2023). No worries with ChatGPT: Building bridges between artificial intelligence and education with critical thinking soft skills. Journal of Public Health, 45(3), e602-e603. https://doi.org/10.1093/pubmed/fdad049
Schönberger, M. (2024), "Integrating Artificial Intelligence in Higher Education: Enhancing Interactive Learning Experiences and Student Engagement Through ChatGPT", Lytras, M.D., Alkhaldi, A., Malik, S., Serban, A.C. and Aldosemani, T. (Ed.) The Evolution of Artificial Intelligence in Higher Education (Emerald Studies in Active and Transformative Learning in Higher Education), Emerald Publishing Limited, Leeds, pp. 11-34. https://doi.org/10.1108/978-1-83549-486-820241002
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Slimi, Z. (2022). The impact of Artificial Intelligence on higher education: An empirical study. European Journal of Educational Sciences, 10(1), 17-33. http://dx.doi.org/10.19044/ejes.v10no1a17
Stake, R. E. (1995). The art of case study research. SAGE Publications.
Temsah, M.-H., Jamal, A., & Al-Tawfiq, J. A. (2023). Reflection with ChatGPT about the excess death after the COVID-19 pandemic. New Microbes and New Infections. https://doi.org/10.1016/j.nmni.2023.101103
Tsai, Y.-C. (2023). Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills. arXiv preprint arXiv:2305.00821.
Wang, T., Lin, M., & Cheng, S. (2022). AI-supported writing: Impacts on students' critical thinking and self-regulated learning. Journal of Educational Computing Research, 60(5), 1033-1055. https://doi.org/10.1177/07356331221085426
Wang, C., Li, Z., & Bank, C. (2024). Understanding self-directed learning in AI-Assisted Writing: A mixed methods study of postsecondary learners. Computers and Education: Artificial Intelligence, 6 (9), 100247. https://doi.org/10.1016/j.caeai.2024.100247
Yang, S. J. H., Ogata, H., Matsui, T., & Chen, N-S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible, Computers and Education: Artificial Intelligence, 2, 1-5. https://doi.org/10.1016/j.caeai.2021.100008.
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J-B., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 1-18. https://doi.org/10.1155/2021/8812542
Zhai, X. (2023). ChatGPT for next generation science learning. XRDS: Crossroads, The ACM Magazine for Students, 29(3), 42-46. https://doi.org/10.1145/3589649
Meng, C. C., Fen, T. S., Ping, P. F., & Leong, A. F. Y. (2025). Enhancing Pre-Service Teachers’ Understanding of Pedagogical Key Ideas by Integrating ChatGPT in ODL Course Tutorials. International Journal of Academic Research in Progressive Education and Development, 14(3), 287-300.
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