AI, Personalization, Equity, and the Future of Learning

Viktor Wang

ISBN 13: 9798337350974

Published by IGI Global, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.

Seller Inventory # 9798337350974

Bibliographic Details

• Title: AI, Personalization, Equity, and the Future of Learning
• Publisher: IGI Global
• Publication Date: 2025
• Language: English
• ISBN 13: 9798337350974
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 35D millimeters 260 millimeters width by 183 millimeters height by 35 millimeters depth
• Weight: 1250 grams

About this title

Synopsis

The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.