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AI-driven learning and engagement in...

Tariq, Muhammad Usman.

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AI-driven learning and engagement in higher education

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-driven learning and engagement in higher education/ Muhammad Usman Tariq.
remainder title:	Artificial intelligence-driven learning and engagement in higher education
Author:	Tariq, Muhammad Usman.
Published:	Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:	1 online resource (xiv, 463 p.)
[NT 15003449]:	Preface -- Chapter 1. Artificial Intelligence Terminologies -- Chapter 2. Applied AI vs. Theoretical AI -- Chapter 3. Shaping the Future of Higher Education: Emerging Trends and Technologies -- Chapter 4. Artificial Intelligence Challenges in Higher Education -- Chapter 5. A General Framework for Artificial Intelligence in Higher Education -- Chapter 6. Innovation Plans for the Use of Artificial Intelligence in Higher Education -- Chapter 7. Establishing Enterprise-Wide AI Culture -- Chapter 8. Teaching and Learning Strategies Using AI -- Chapter 9. Online and Self-Paced Learning Using AI -- Chapter 10. Personalization of Higher Education Using Artificial Intelligence -- Chapter 11. Exploration of AI Precision in Higher Education -- Chapter 12. Use of AI for Student Success and Engagement -- Chapter 13. Use of AI for Faculty Success and Engagement -- Chapter 14. Artificial Intelligence for General Administration -- Chapter 15. AI for Human Resources and Talent Acquisition -- Compilation of References -- About the Author -- Index.
Subject:	Artificial intelligence - Educational applications. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4074-5
ISBN:	9798369340752

AI-driven learning and engagement in higher education
Tariq, Muhammad Usman.

AI-driven learning and engagement in higher education[electronic resource] /Artificial intelligence-driven learning and engagement in higher educationMuhammad Usman Tariq. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xiv, 463 p.) - Advances in higher education and professional development (AHEPD) book series. - Advances in higher education and professional development (AHEPD) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. Artificial Intelligence Terminologies -- Chapter 2. Applied AI vs. Theoretical AI -- Chapter 3. Shaping the Future of Higher Education: Emerging Trends and Technologies -- Chapter 4. Artificial Intelligence Challenges in Higher Education -- Chapter 5. A General Framework for Artificial Intelligence in Higher Education -- Chapter 6. Innovation Plans for the Use of Artificial Intelligence in Higher Education -- Chapter 7. Establishing Enterprise-Wide AI Culture -- Chapter 8. Teaching and Learning Strategies Using AI -- Chapter 9. Online and Self-Paced Learning Using AI -- Chapter 10. Personalization of Higher Education Using Artificial Intelligence -- Chapter 11. Exploration of AI Precision in Higher Education -- Chapter 12. Use of AI for Student Success and Engagement -- Chapter 13. Use of AI for Faculty Success and Engagement -- Chapter 14. Artificial Intelligence for General Administration -- Chapter 15. AI for Human Resources and Talent Acquisition -- Compilation of References -- About the Author -- Index.

"Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more."--

Mode of access: World Wide Web.

ISBN: 9798369340752Subjects--Topical Terms:

567577
Artificial intelligence
--Educational applications.Subjects--Index Terms:

Applied Artificial Intelligence.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: LB1028.43 / .T37 2024eb

Dewey Class. No.: 371.334

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520 3 $a "Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more."-- $c Provided by publisher.
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