Adopting Artificial Intelligence Tools in Higher Education

Teaching and Learning
1. Auflage 2025
ISBN: 978-1-032-74464-3
Verlag: CRC Press

Buch, Englisch, 345 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 658 g

This book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education.

Each chapter discusses a different area where AI can enhance the educational landscape, such as AI integration in higher education and immersive virtual reality-based learning environments. The book also emphasizes student-centered learning, AI-powered frameworks for academic excellence, and learner-centric pedagogies. Furthermore, it delves into the role of AI in personalized learning in STEM courses, the development of AI-based tutoring systems, and the use of machine learning to identify students’ mental health status. The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education.

This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. Adopting Artificial Intelligence Tools in Higher Education provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.

Zielgruppe

Professional Practice & Development, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Murugan, Thangavel

Periasamy, Karthikeyan

Abirami, A M

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

1. Artificial Intelligence Integration in Higher Education. 2. Student-Centered Learning in the Digital Age: An AI-Infused Framework for Educational Excellence. 3. Embracing Learner-Centric Pedagogy in the Age of Artificial Intelligence. 4. Instructional Design with Artificial Intelligence Tools to Support Student-Centered Learning. 5. Designing Portfolios for Adaptive Learning Environments. 6. From Classroom to Cloud: Using AI in Education. 7. A Comprehensive Study on AI-Enhanced Personalized Learning in STEM Courses. 8. BHELS: Bot for Higher Education Learning System. 9. Tutor Ward Mentoring Chatbot: Incubating Social and Moral Values to the Students. 10. Immersive Virtual Reality-Based Learning Environment: An Innovative Framework. 11. Intelligent Tutoring Systems: AI-Based Tools for Individualized Instruction. 12. Navigating Emotional Landscapes: Enhancing Communication through Facial Emotion Analysis in Presentations. 13. Identifying Students’ Mental Health Status Using Machine Learning Techniques. 14. Dynamic Horizon: AI and Gamification for Reshaping Higher Education.

Über Autor(innen)

Thangavel Murugan is an Assistant Professor in the Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Abu Dhabi, United Arab Emirates. He earned a PhD at Madras Institute of Technology (MIT) Campus, Anna University, Chennai, and has more than 10 years of teaching and research experience. Dr. Murugan’s research specializations include information security, high-performance computing, ethical hacking, cyberforensics, blockchain, cybersecurity intelligence, and educational technology.

Karthikeyan Periasamy is an Associate Professor in the Department of Information Technology at Thiagarajar College of Engineering (TCE), Madurai. In 2015, he earned a PhD in information and communication engineering at Anna University, Chennai, Tamil Nadu, India. He has published more than 55 papers in refereed international journals, conferences, and book chapters. Dr. Periasamy’s research interests include computational intelligence algorithms and educational technology (ET).

A.M. Abirami is an Associate Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai. In 2018, she earned a PhD in text analytics and semantic web at Anna University Chennai. Dr. Abirami has nearly 25 national/international conference publications, 10 national/international journal publications, and five book chapters in the area of text analytics and engineering education. Her research interests include data analytics, natural language processing, text analytics, semantic web technologies, and education technology.