AI-Driven Mathematics Education: From Digital Tools to Ethical Teaching Practices

Manoj Sahni · Ernesto Leon Castro · Walayat Hussain

Aug 2026 · Springer Nature

Ebook

262

Pages

About this ebook

This book presents a comprehensive interdisciplinary compilation of creative strategies, actionable frameworks, and thoughtful insights on incorporating artificial intelligence (AI) into the field of mathematics education. The book covers a wide range of topics, namely, AI-supported teaching methods and digital literacy to ethical considerations, animation, and cultural stories—offering practical guidance on contemporary educational practices to educators, researchers, and policymakers. This book unites theory and practice by combining cutting-edge viewpoints on education, learning, and moral obligation in the AI age with empirical research. The book gives stakeholders forward-thinking strategies that not only improve learning outcomes but also encourage the responsible and inclusive deployment of AI in math classrooms, drawing on case studies from India and other parts of the world.

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About the author

Prof. (Dr.) Manoj Sahni is working in the Department of Mathematics at Pandit Deendayal Energy University for more than eleven years. He has more than 20 years of research and teaching experience. He has published more than 120 research papers in highly reputed international Journals of repute. He has edited than 8 books and 3 are accepted with reputed publishers like Springer, Taylor and Francis, NOVA and River.

Prof. (Dr.) Ernesto Leon Castro is associated to UCSC, Chile. He has more than 100 publications in different journals indexed in the Web of Science and Scopus and has participated in different international conferences. He is a part of the Ibero-American Network for Competitiveness, Innovation, and Development (REDCID). In addition, he has participated as a guest editor of different special editions of journals indexed in the Web of Science, Scopus, and books in prestigious publishers.

Dr. Walayat Hussain is an associate professor of information technology at Australian Catholic University, bringing over two decades of experience in academia and industry. He has supervised thirteen HDR students to completion and has published over 90 high-quality papers, including extensive contributions in ERA-A and JCR/SJR Q1 journals. Globally recognized, as of May 2025, his Google Scholar H-index is 32, with over 2,958 citations and an i10-index of 57.

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