Adopting Artificial Intelligence Tools in Higher Education

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Adaptive Learning Systems
Age Group_Uncategorized
Age Group_Uncategorized
AI in Higher Education
AI-driven academic performance analysis
Augmented Reality and Virtual Reality
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B01=A.M. Abirami
B01=Karthikeyan Periasamy
B01=Thangavel Murugan
Category1=Non-Fiction
Category=A
Category=JNM
Category=JNT
Category=JNV
Category=UB
Category=UGN
Category=UYQ
cognitive assessment tools
COP=United Kingdom
Delivery_Pre-order
Digital learning environment
digital pedagogy strategies
educational data mining
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eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Gamification and AI in Higher Education
Inclusive Learning and Assessment in the Era of AI
Intelligent Tutoring Systems
Language_English
Learner-Centric Pedagogy
machine learning in education
mental health detection algorithms
PA=Not yet available
Personalized Learning: Leveraging AI
Price_€100 and above
PS=Forthcoming
softlaunch
student engagement analytics
Virtual Assistants and Chatbots in Higher Education

Product details

  • ISBN 9781032744643
  • Weight: 800g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Jan 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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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.

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.