Adopting Artificial Intelligence Tools in Higher Education

This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. This book will appeal to educators, administrators, academics, and technology experts working in institutes of higher learning.

Thangavel Murugan is Assistant Professor in the Department of Information Systems and Security, College of Information Technology, and a Faculty Fellow of the Center for Excellence in Teaching and Learning at United Arab Emirates University. He holds a Doctorate from Madras Institute of Technology, Anna University, Chennai, and has over 11 years of teaching and research experience. His research specialization includes information security, high-performance computing, blockchain, and educational technology. Karthikeyan Periasamy is Associate Professor at Thiagarajar College of Engineering (TCE), Madurai, since 2007. He completed his Ph.D. program in Information and Communication Engineering at Anna University in 2015. His research interests include computational intelligence algorithms and educational technology (ET). He has published over 55 papers in international journals, conferences, and book chapters. A.M. Abirami is Associate Professor at Thiagarajar College of Engineering. She holds a PhD in Text Analytics and Semantic Web. Her interests include data analytics, natural language processing, and engineering education. She has several publications in these areas and has received awards for her work in engineering education.

Table of Contents Editor Biographies Contributors Biographies Preface Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student Practices Sajida Sultana. Sk, Dr. Renugadevi Rajaram, Maridu Bhargavi and Shaik Abdul Afzal BIyabani Chapter 2. Inclusive Learning and Assessment in the era of AI Minal Patil, R H Goudar, Anand Nayyar, Dhananjaya G M and Vijayalaxmi N Rathod Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency in Student Assessments SC Vetrivel, VP Arun, Ramya Ambikapathi, TP Saravanan Chapter 4. The Potential and Drawbacks of Machine Learning for Student Assessment K.Kartheeban, Aanandaram V, Lakshminarasimman D, Kabalishwaran D Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback Nikhil V, Annamalai R and Senthil Jayapal Chapter 6. Enhancing Learning Outcomes for the dyslexic students using AI-Powered Assistants Anjali Mathur Chapter 7. Transforming Education Through AI-Powered Personalized Assessment Models Kanthimathi S, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan and Sivaraman Eswaran Chapter 8. Enhancing Student Engagement and Success in Post-Covid19 through AI Technologies A. Peter Soosai Anandaraj, V. Murugananthan, A. Judith Arockiya Gladies, S. Sridevi, V. Vijayalakshmi and B. Senthilkumaran Chapter 9. AI Tools for Plagiarism Detection and Academic Integrity S. Baghavathi Priya, B. Kavya Sai, and TamilSelvi Madeswaran Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with Cutting-Edge Technologies Renugadevi. R, Maridu Bhargavi, G.Kalaiarasi, P.Ranjith Kumar, A. Arul Edwin Raj and B.Saritha