Artificial Intelligence in Higher Education Mathematics Classrooms and Its Influence on Teaching and Learning

Authors

DOI:

https://doi.org/10.55549/epess.1049

Keywords:

Artificial intelligence, Mathematics education, Teaching and learning, Generative AI

Abstract

Artificial Intelligence (AI) is increasingly influencing the way mathematics is taught and learned in higher education. From intelligent tutoring systems to generative AI tools, these technologies are creating new opportunities to support students' learning while encouraging educators to rethink traditional teaching practices. Although AI has the potential to improve engagement, provide timely feedback, and promote more personalized learning experiences, its integration into mathematics classrooms also raises important pedagogical and ethical questions.This paper discusses the growing role of AI in higher education mathematics classrooms by examining its potential benefits, current challenges, and implications for teaching and learning. Drawing on recent research and examples from the literature, it explores how AI can support mathematical reasoning, problem-solving, and conceptual understanding, while also considering issues such as academic integrity, students' critical use of AI-generated content, data privacy, and the evolving role of the lecturer.Rather than viewing AI as a replacement for educators, this paper argues that its value lies in complementing effective teaching practices. The successful use of AI depends on thoughtful pedagogical integration, digital literacy, and clear institutional guidelines that encourage its responsible and ethical use. As AI technologies continue to evolve, higher education institutions have an important opportunity to rethink mathematics education in ways that enhance learning while preserving the essential role of human interaction in the educational process.

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Published

2026-08-30

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Section

Articles

How to Cite

Artificial Intelligence in Higher Education Mathematics Classrooms and Its Influence on Teaching and Learning. (2026). The Eurasia Proceedings of Educational and Social Sciences, 51(Early Pub), 32-47. https://doi.org/10.55549/epess.1049