1st Edition

Adopting Artificial Intelligence Tools in Higher Education Student Assessment

240 Pages 10 B/W Illustrations
by CRC Press

240 Pages 10 B/W Illustrations
by CRC Press

240 Pages 10 B/W Illustrations
by CRC Press

This edited volume explores the adoption of artificial intelligence (AI) tools in higher education, specifically focusing on student assessment. It examines the integration of various AI tools within higher education, discussing the challenges and opportunities they present and the innovative solutions they offer. The chapters explore various issues surrounding the use of AI in higher education... Read more

Table of Contents

Editor Biographies

Contributors Biographies

Preface

Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student Practices
S. K. Sajida Sultana, R. Renugadevi, 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, G. M. Dhananjaya, and Vijayalaxmi N. Rathod

Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency in Student Assessments
S. C. Vetrivel, V. P. Arun, Ramya Ambikapathi, and T. P. Saravanan

Chapter 4. The Potential and Drawbacks of Machine Learning for Student Assessment
K. Kartheeban, V. Aanandaram, D. Lakshminarasimman, and D. Kabalishwaran

Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback
V. Nikhil, R. Annamalai, 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
S. Kanthimathi, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan, and Sivaraman Eswaran

Chapter 8. Enhancing Student Engagement and Success in Post-COVID-19 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 Tamil Selvi Madeswaran

Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with Cutting-Edge Technologies
R. Renugadevi, Maridu Bhargavi, G. Kalaiarasi, P. Ranjith Kumar, A. Arul Edwin Raj, and B. Saritha

Biography

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.