Research on the Possibility and Path of Artificial Intelligence for the Development of Mathematics Education
Research Article
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Research on the Possibility and Path of Artificial Intelligence for the Development of Mathematics Education

Yawen Yang 1*
1 Liaocheng University
*Corresponding author: Yangyawen669@outlook.com
Published on 19 August 2025
Volume Cover
LNEP Vol.113
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-313-0
ISBN (Online): 978-1-80590-314-7
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Abstract

The rapid development of artificial intelligence (AI) is profoundly transforming the field of education, presenting unprecedented opportunities and challenges for mathematics education. Currently, the role of AI in promoting educational development has attracted widespread attention. However, existing literature mostly focuses on the macro-level discussions of AI in education, with relatively insufficient in-depth exploration of specific disciplines. This paper focuses on mathematics as a specific discipline, exploring how AI technology can empower mathematics education, systematically analyzing its potential possibilities and possible challenges, and exploring feasible implementation paths. The research finds that the core value of AI in mathematics education is significantly reflected in the precise customization of personalized learning paths and the deep innovation of teaching models. However, its wide application also faces key challenges such as the maturity of technology, the insufficient AI literacy of teachers, and data privacy and ethical risks. Based on in-depth analysis, this study proposes that the core path for the deep integration of AI and mathematics education requires technological iteration, the upgrading of teachers' educational concepts, and the construction of a teacher-student-AI collaborative classroom.

Keywords:

Artificial intelligence, mathematics education, path

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Yang,Y. (2025). Research on the Possibility and Path of Artificial Intelligence for the Development of Mathematics Education. Lecture Notes in Education Psychology and Public Media,113,44-50.

References

[1]. Xiong, Z.X. (2025) Research on the Impact of Generative Artificial Intelligence on Teaching and Responses: A Case Study of ChatGPT. Educational Exploration, 6, 87-93.

[2]. Qiao, S.H., Gao, Z.X. (2025) Empowering School Education Transformation with Artificial Intelligence: Value, Limits and Practical Approaches. Journal of Zhejiang Normal University (Social Sciences Edition), 4, 101-109.

[3]. Hu, H., Yang, L. (2025) AI Empowering a Strong Education Nation: Innovation in AI Teaching and Application. Journal of Teacher Education, 12, 62-70.

[4]. Gabriel, F., Kennedy, J., Marrone, R., et al. (2025) Pragmatic AI in Education and Its Role in Mathematics Learning and Teaching. NPJ Science of Learning, 10, 26.

[5]. Huang, M.Y., Ye, S. (2023) Artificial Intelligence Empowering the "Classroom Revolution" in Higher Vocational Colleges: Technical Logic and Action Framework. Education and Career, 1, 82-89.

[6]. Zuo, T., Wu, T., Song, X.W., et al. (2025) The Dilemma and Path Exploration of Artificial Intelligence Empowering the Transformation of Higher Education. Higher Education Development and Evaluation, 41, 30-41+130-131.

[7]. Ucar, Ş.S., Gazpio, L.I., Gazpio, L.J. (2020) Evaluating and Challenging the Reasoning Capabilities of Generative Artificial Intelligence for Technology-Assisted Chemistry Education. Education and Information Technologies, 30, 1-20.

[8]. Taylor, Z., Wang, C. (2025) How to Build and Utilize Big Data to Promote Educational Equity: Collaboration and Response in the Context of Globalization. Comparative Education Research, 47, 41-52+62.

[9]. Liu, F.H., Wei, Z.F., Gu, J. (2024) Logical Deconstruction, Perspective on Predicaments and Path Innovation of Adaptability in Digital Professional Talent Cultivation. Education and Career, 18, 57-64.

[10]. Henkel, O., Lee, A., Rising Academies. (2024) Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI-Math Tutor in Ghana. arXiv.

[11]. School of Information and Software Engineering, University of Electronic Science and Technology of China. (2025) [AI+ Undergraduate Teaching] Wang, Q.X.: AI Empowers Discrete Mathematics, Sounding a Strong Note for the Intelligent Transformation of Education. Retrieved from https: //sise.uestc.edu.cn/info/1017/13277.htm

[12]. Fang, X.J., Wang, Y., Chen, Y.M. (2022) Logical Analysis, Practical Challenges and Contemporary Approaches to Classroom Teaching Reform in Vocational Education in the Era of Artificial Intelligence. Education and Occupation, 12, 80-86.

[13]. Du, L., Xu, S., Xu, Z.B. (2025) Teacher-Student-AI Collaborative Classroom: A Carrier and Practice of Empowering University Mathematics Education with Artificial Intelligence. Chinese University Teaching, 4, 59-65+81.

[14]. Southwest College of Mathematics and Statistics. (2025). The Institute of Mathematics in Chongqing First Map Construction New Paradigm Can Make AI Fu Education. Retrieved from https: //math.swu.edu.cn/info/1068/3913.htm

References

[1]. Xiong, Z.X. (2025) Research on the Impact of Generative Artificial Intelligence on Teaching and Responses: A Case Study of ChatGPT. Educational Exploration, 6, 87-93.

[2]. Qiao, S.H., Gao, Z.X. (2025) Empowering School Education Transformation with Artificial Intelligence: Value, Limits and Practical Approaches. Journal of Zhejiang Normal University (Social Sciences Edition), 4, 101-109.

[3]. Hu, H., Yang, L. (2025) AI Empowering a Strong Education Nation: Innovation in AI Teaching and Application. Journal of Teacher Education, 12, 62-70.

[4]. Gabriel, F., Kennedy, J., Marrone, R., et al. (2025) Pragmatic AI in Education and Its Role in Mathematics Learning and Teaching. NPJ Science of Learning, 10, 26.

[5]. Huang, M.Y., Ye, S. (2023) Artificial Intelligence Empowering the "Classroom Revolution" in Higher Vocational Colleges: Technical Logic and Action Framework. Education and Career, 1, 82-89.

[6]. Zuo, T., Wu, T., Song, X.W., et al. (2025) The Dilemma and Path Exploration of Artificial Intelligence Empowering the Transformation of Higher Education. Higher Education Development and Evaluation, 41, 30-41+130-131.

[7]. Ucar, Ş.S., Gazpio, L.I., Gazpio, L.J. (2020) Evaluating and Challenging the Reasoning Capabilities of Generative Artificial Intelligence for Technology-Assisted Chemistry Education. Education and Information Technologies, 30, 1-20.

[8]. Taylor, Z., Wang, C. (2025) How to Build and Utilize Big Data to Promote Educational Equity: Collaboration and Response in the Context of Globalization. Comparative Education Research, 47, 41-52+62.

[9]. Liu, F.H., Wei, Z.F., Gu, J. (2024) Logical Deconstruction, Perspective on Predicaments and Path Innovation of Adaptability in Digital Professional Talent Cultivation. Education and Career, 18, 57-64.

[10]. Henkel, O., Lee, A., Rising Academies. (2024) Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI-Math Tutor in Ghana. arXiv.

[11]. School of Information and Software Engineering, University of Electronic Science and Technology of China. (2025) [AI+ Undergraduate Teaching] Wang, Q.X.: AI Empowers Discrete Mathematics, Sounding a Strong Note for the Intelligent Transformation of Education. Retrieved from https: //sise.uestc.edu.cn/info/1017/13277.htm

[12]. Fang, X.J., Wang, Y., Chen, Y.M. (2022) Logical Analysis, Practical Challenges and Contemporary Approaches to Classroom Teaching Reform in Vocational Education in the Era of Artificial Intelligence. Education and Occupation, 12, 80-86.

[13]. Du, L., Xu, S., Xu, Z.B. (2025) Teacher-Student-AI Collaborative Classroom: A Carrier and Practice of Empowering University Mathematics Education with Artificial Intelligence. Chinese University Teaching, 4, 59-65+81.

[14]. Southwest College of Mathematics and Statistics. (2025). The Institute of Mathematics in Chongqing First Map Construction New Paradigm Can Make AI Fu Education. Retrieved from https: //math.swu.edu.cn/info/1068/3913.htm

Cite this article

Yang,Y. (2025). Research on the Possibility and Path of Artificial Intelligence for the Development of Mathematics Education. Lecture Notes in Education Psychology and Public Media,113,44-50.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICILLP 2025 Symposium: Psychological Perspectives on Teacher-Student Relationships in Educational Contexts

ISBN: 978-1-80590-313-0(Print) / 978-1-80590-314-7(Online)
Editor: Renuka Thakore, Abdullah Laghari
Conference website: https://2025.icillp.org/Nawabshah.html
Conference date: 17 October 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.113
ISSN: 2753-7048(Print) / 2753-7056(Online)

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