Three Paradigms for Learning Mathematics with the Aid of Artificial Intelligence: A Phenomenological Study of Prospective Teacher Students
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Abstract
The 21st century has seen rapid changes in educational practices, mainly due to technological advancements such as artificial intelligence. Especially in today's digital age, technology is essential in transforming education. One prominent innovation is the use of AI in the context of learning. This research aims to discover prospective teachers' learning processes using AI. In addition, this research seeks to determine the position of AI in learning mathematics for prospective teachers. The participants are Mathematics Education students of Universitas Swadaya Gunung Jati (UGJ) Cirebon. This qualitative study uses phenomenological methods by collecting data from each research subject about experiences regarding the use of AI in solving several math problems. This research provides insight into how prospective teachers can utilize AI technology in the mathematics learning process. In addition, this research is essential because it contributes to the development of technology-based pedagogy, a significant trend in global education today. This research uses data collection methods through observation, interviews, and content. The results of this study are that 3 paradigms from previous research are in line with the theory of 3 paradigms: (1) AI-directed students as recipients, (2) AI-supported students as collaborators, and (3) AI-empowered students as leaders. Most participants in this study were collaborators in these three paradigms.
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References
B. Whitby, Artificial Intelligence: A Beginner's Guide. Oxford, U.K.: Oneworld, 2008
Bai, L., Liu, X., & Su, J. (2023). ChatGPT: The cognitive effects on learning and Memory. Wiley, 1-9.
Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Retrieved from https://www.nesta.org.uk/report/education-rebooted/.
Chen, X., Xie, H., & Hwang, G. J. (2020). Multi-perspective study on artificial intelligence in education: Grants, conferences, journals, software, institutions, and researchers. Computers & Education: Artificial Intelligence, l, Article 100005.
Gartner. (2019, August). Hype cycle for emerging technologies, 2019. Gartner. https://www.gartner.com/en/documents/3956015/hype-cycle-for-emerging-tec hnologies-2019.
Hu, L. (2023). Generative AI and the Future. Retrieved on January 23 from https://pub.towardsai.net/generative-ai-and-future-c3b1695876f2.
Law, N. W. Y. (2019). Human development and augmented intelligence. In The 20th international conference on artificial intelligence in education (AIED 2019). Springer.
Petersen, J. (2021). Innovative assessment practices. Retrieved on August 2, 2022. https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad
=rja&uact=8&ved=2ahUKEwjhzbGO38T5AhW2hIkEHXPNDdoQFnoECAk QAQ&url=https%3A%2F%2Ffreshgrade.com%2Fwp- content%2Fuploads%2F2020%2F07%2FFG-Innovative-Assessment- Whitepaper-1.pdf&usg=AOvVa w1fWCFBStSE4BqDTXT5_Voi.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. Advanced online publication. doi:10.1186/s41039-017-0062-8 PMID:30595727
Riedl, M. O. (2019). Human-centered artificial intelligence and machine learning. Human Behavior and Emerging Technologies, 1(1), 33-36.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599.
Subroto, T. (2022). Abstraction in Group Theory Lectures: Hermeneutic Phenomenological Study on Prospective Teacher Students.University Swadaya Gunung Jati Cirebon. 1–163.
Yang, S. J., Ogata, H., Matsui, T., & Chen, N. S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers & Education: Artificial Intelligence, p. 2, Article 100008.