AI – Driven Mathematics Education From Digital Tools to Ethical Teaching Practices | 35.02 MB
Title: AI – Driven Mathematics Education From Digital Tools to Ethical Teaching Practices
Author: Manoj Sahni, Ernesto Leon Castro, Walayat Hussain
Category: Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering, Reference & Language, Education & Teaching
Language: English | 261 Pages | ISBN: 9783032312044
Description:
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.
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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