Driving Quality Education Through AI and Data Science

Thangavel Murugan (United Arab Emirates University, UAE), Karthikeyan P. (Thiagarajar College of Engineering, India), and A.M. Abirami (Thiagarajar College of Engineering, India)

Indexed In: SCOPUS

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Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9798369382929

ISBN13 Softcover: 9798369382936

EISBN13: 9798369382943

DOI: 10.4018/979-8-3693-8292-9

Description:

Artificial intelligence (AI) and data science have the potential to address the challenges the education field faces. By integrating AI into the educational system, such as through personalized learning experiences to intelligent tutoring systems, AI can help tailor educational content to individual students' needs, improving engagement and outcomes. Data science can be used to analyze educational data, uncover insights, and inform decision-making. The result is that teachers may be given the tools and knowledge they need to excel in the classroom. This shift not only improves educational outcomes but also prepares students for a data-driven future.

Driving Quality Education Through AI and Data Science explores how advancements in AI and data science can be utilized to enhance the quality of education. It provides insights, strategies, and best practices for leveraging AI and data science technologies to enhance teaching and learning. Covering topics such as data-driven decisions, at-risk students, and student performance prediction, this book is an excellent resource for educators, policymakers, professionals, researchers, scholars, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Adaptive Learning Systems
AI-Driven Face Recognition
AI-Enhanced Gamification
AI-Powered Classrooms
Artificial Intelligence (AI)
At-Risk Students
Communication Technology
Data Science
Data-Driven Decisions
Higher Education
Learning Ecosystems
Personalized Education
QR Code Integration
Rural School Districts
Special Education
Streamlining Administration
Student Performance Prediction
Teacher Productivity
Teacher Roles
Virtual Reality

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Thangavel Murugan , a Senior Member of IEEE, serves as an Assistant Professor in the Department of Information Systems and Security at the College of Information Technology, United Arab Emirates University. He holds a Ph.D. from Madras Institute of Technology (MIT) Campus, Anna University, and has published extensively in international journals and conferences. His academic and research expertise spans Information Security, High-Performance Computing, Ethical Hacking, Cyberforensics, Blockchain, Data Science for Cybersecurity, and Educational Technology. His contributions to the field are commendable, and he actively participates in workshops, conferences, and industry-based courses. He presently holds 12+ years of Teaching and Research experience from various academic institutions. He has published 8+ Edited Books, 3+ Authored Books, 17+ International Journals, 27+ book chapters in International Publishers, 47+ in International Conferences and 3 in National conferences /seminars.

Karthikeyan Periasamy is working as an Associate Professor in Department of IT, Thiagarajar College of Engineering (TCE), Madurai from 2007 onwards. TCE aims at creating quality professionals to meet the emerging industrial and societal needs through innovative teaching, applied research and industrial interaction. He is very proud to be a part of TCE. He has completed the Ph.D. programme in Information and Communication Engineering under Anna University, Chennai, Tamilnadu, India in the year 2015. He received his M.E. degree in Computer Science and Engineering from Anna University, Chennai, Tamilnadu, India in the year 2004. He also received the B.E. degree in Computer Science and Engineering from Madurai Kamaraj University, Madurai, Tamilnadu, India in the year 2002. He has published 55+ papers in refereed international journals, conferences and book chapters. His research interests include Computational Intelligence Algorithms and Educational Technology (ET).

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