Exploring the future of mathematics teaching: Insight with ChatGPT


  • Edi Supriyadi Sekolah Tinggi Teknologi Bandung, Indonesia
  • K. S. Kuncoro Universitas Pendidikan Indonesia, Indonesia




Artificial intelligence, ChatGPT, Future of mathematics teaching, OpenAI


This study aims to provide a comprehensive overview of the future of mathematics teaching from the perspective of ChatGPT, an advanced language processing artificial intelligence (AI) developed by OpenAI. The results of the chat transcripts edited with ChatGPT suggest that the future of mathematics teaching will see the integration of technology and AI to provide personalized learning experiences, blended learning environments, and computational thinking, data literacy, and statistics. Problem-solving, critical thinking, and interdisciplinary connections will continue to be emphasized, and equity and inclusion will remain crucial. AI is expected to revolutionize mathematics education, but thoughtful implementation, ongoing professional development, and pedagogical considerations are essential. However, the future of teaching mathematics will continue to evolve. Therefore, teachers and lecturers need to keep abreast of the latest developments and adapt to them while remaining committed to providing quality teaching.


Aljanabi, M. (2023). ChatGPT: Future directions and open possibilities. Mesopotamian Journal of CyberSecurity, 2023, 16–17. https://doi.org/10.58496/MJCS/2023/003 DOI: https://doi.org/10.58496/MJCS/2023/003

Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., & Chung, W. (2023). A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity. ArXiv Preprint ArXiv:2302.04023. https://doi.org/10.48550/arXiv.2302.04023

Banson, J. (2022). Co-regulated learning and online learning: A systematic review. Social Sciences & Humanities Open, 6(1), 100376. https://doi.org/10.1016/j.ssaho.2022.100376 DOI: https://doi.org/10.1016/j.ssaho.2022.100376

Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58(3), 978–988. https://doi.org/10.1016/j.compedu.2011.10.006 DOI: https://doi.org/10.1016/j.compedu.2011.10.006

Calude, C.S., Marcus, S. (2004). Mathematical Proofs at a Crossroad?. In: Karhumäki, J., Maurer, H., Păun, G., Rozenberg, G. (eds) Theory Is Forever. Lecture Notes in Computer Science, vol 3113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27812-2_2 DOI: https://doi.org/10.1007/978-3-540-27812-2_2

Corsello, A., & Santangelo, A. (2023). May Artificial Intelligence Influence Future Pediatric Research?—The Case of ChatGPT. Children, 10(4), 757. https://doi.org/10.3390/children10040757 DOI: https://doi.org/10.3390/children10040757

Deng, J., & Lin, Y. (2022). The Benefits and Challenges of ChatGPT: An Overview. Frontiers in Computing and Intelligent Systems, 2(2), 81–83. https://doi.org/10.54097/fcis.v2i2.4465 DOI: https://doi.org/10.54097/fcis.v2i2.4465

Dunleavy, M., Dede, C. & Mitchell, R. Affordances and Limitations of Immersive Participatory Augmented Reality Simulations for Teaching and Learning. J Sci Educ Technol 18, 7–22 (2009). https://doi.org/10.1007/s10956-008-9119-1 DOI: https://doi.org/10.1007/s10956-008-9119-1

English, L. D., & Gainsburg, J. (2015). Problem solving in a 21st-century mathematics curriculum. In Handbook of international research in mathematics education (pp. 325–347). Routledge. DOI: https://doi.org/10.4324/9780203448946-20

Gunawan, J. (2023). Exploring the future of nursing: Insights from the ChatGPT model. Belitung Nursing Journal, 9(1), 1–5. https://doi.org/10.33546/bnj.2551 DOI: https://doi.org/10.33546/bnj.2551

Joseph, G. G. (2010). The crest of the peacock: Non-European roots of mathematics. Princeton University Press. DOI: https://doi.org/10.1515/9781400836369

Kemmis, S., Heikkinen, H. L. T., Fransson, G., Aspfors, J., & Edwards-Groves, C. (2014). Mentoring of new teachers as a contested practice: Supervision, support and collaborative self-development. Teaching and Teacher Education, 43, 154–164. http://dx.doi.org/10.1016/j.tate.2014.07.001 DOI: https://doi.org/10.1016/j.tate.2014.07.001

Kline, M. (1964). Mathematics in western culture. Oxford University Press.

Martínez-Argüelles, MJ., Plana-Erta, D. & Fitó-Bertran, À. Impact of using authentic online learning environments on students’ perceived employability. Education Tech Research Dev 71, 605–627 (2023). https://doi.org/10.1007/s11423-022-10171-3 DOI: https://doi.org/10.1007/s11423-022-10171-3

Mattas, P. S. (2023). ChatGPT: A Study of AI Language Processing and its Implications. Journal Homepage: Www. Ijrpr. Com ISSN, 2582, 7421. http://dx.doi.org/10.55248/gengpi.2023.4218 DOI: https://doi.org/10.55248/gengpi.2023.4218

Mijwil, M., Aljanabi, M., & Ali, A. H. (2023). ChatGPT: exploring the role of cybersecurity in the protection of medical information. Mesopotamian Journal of Cybersecurity, 2023, 18–21. https://doi.org/10.58496/MJCS/2023/004 DOI: https://doi.org/10.58496/MJCS/2023/004

Omar, R., Mangukiya, O., Kalnis, P., & Mansour, E. (2023). Chatgpt versus traditional question answering for knowledge graphs: Current status and future directions towards knowledge graph chatbots. ArXiv Preprint ArXiv:2302.06466. https://doi.org/10.48550/arXiv.2302.06466

Ozcakir, B., & Cakiroglu, E. (2021). An augmented reality learning toolkit for fostering spatial ability in mathematics lesson: Design and development. European Journal of Science and Mathematics Education, 9(4), 145–167. https://doi.org/10.30935/SCIMATH/11204 DOI: https://doi.org/10.30935/scimath/11204

Russo, L. (2003). The forgotten revolution: how science was born in 300 BC and why it had to be reborn. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-18904-3 DOI: https://doi.org/10.1007/978-3-642-18904-3

Salem, S. I. (2008). Mathematics in Mesopotamia BT - Encyclopaedia of the History of Science, Technology, and Medicine in Non-Western Cultures (H. Selin (ed.); pp. 1410–1414). Springer Netherlands. https://doi.org/10.1007/978-1-4020-4425-0_9271 DOI: https://doi.org/10.1007/978-1-4020-4425-0_9271

Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. John Wiley & Sons.

Sharkey, A. J. C. (2016). Should we welcome robot teachers? Ethics and Information Technology, 18, 283–297. https://doi.org/10.1007/s10676-016-9387-z DOI: https://doi.org/10.1007/s10676-016-9387-z

Sperling, K., Stenliden, L., Nissen, J., & Heintz, F. (2022). Still w (AI) ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor‐Network Theory. European Journal of Education, 57(4), 584–600. https://doi.org/10.1111/ejed.12526 DOI: https://doi.org/10.1111/ejed.12526

Struik, D. J. (2012). A concise history of mathematics. Courier Corporation.

Supriyadi, E. (2022). Eksplorasi Penggunaan ChatGPT dalam Penulisan Artikel Pendidikan Matematika. Papanda Journal of Mathematics and Science Research, 1(2), 54–68. Retrieved from https://ejournal.papanda.org/index.php/pjmsr/article/view/252

Viraldo, J., & Shafaat, A. (2013). Technology and free media content in post-secondary engineering education. IIE Annual Conference. Proceedings, 483.




How to Cite

Supriyadi, E., & Kuncoro, K. S. (2023). Exploring the future of mathematics teaching: Insight with ChatGPT. Union: Jurnal Ilmiah Pendidikan Matematika, 11(2), 305–316. https://doi.org/10.30738/union.v11i2.14898




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