Adopting Artificial Intelligence Tools in Higher Education (eBook, PDF)

Teaching and Learning
Redaktion: Murugan, Thangavel; Abirami, A. M.; Periasamy, Karthikeyan

• Format: PDF

Produktbeschreibung

The 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 345
• Erscheinungstermin: 24. Januar 2025
• Englisch
• ISBN-13: 9781040252079
• Artikelnr.: 72520353

Autorenporträt

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.

Inhaltsangabe

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.