Artificial Intelligence-Powered Learning Analytics and Student Feedback Mechanisms for Dynamic Curriculum Enhancement and Continuous Quality Improvement in Outcome-Based Education
Dr. Anshad A. S , Dr. Julius Irudayasamy , Dr. Raj Kumar Gupta , Nisha Rathore
Indexed In: google scholar
Release Date: 2025 | Copyright:©2025 | Pages: 502
DOI: 10.71443/9789349552531
ISBN10: 9349552531 | ISBN13: 9789349552531
This book explores the integration of Artificial Intelligence (AI) in learning analytics and student feedback systems to enhance curriculum design and ensure continuous quality improvement within Outcome-Based Education (OBE). It delves into AI-driven tools that monitor student performance, personalize learning pathways, and analyze real-time feedback to dynamically update instructional content. Emphasizing data-driven decision-making, the book presents frameworks and case studies that demonstrate how AI can align learning outcomes with educational objectives. Designed for educators, academic administrators, and policymakers, it provides practical insights into fostering adaptive learning environments, improving teaching effectiveness, and ensuring academic excellence in a rapidly evolving educational landscape.
This book presents a comprehensive overview of how Artificial Intelligence can revolutionize learning analytics and student feedback systems to drive dynamic curriculum enhancement within the framework of Outcome-Based Education (OBE). It examines the use of AI tools to collect, analyze, and interpret student data, enabling educators to make informed decisions for continuous improvement. By integrating intelligent feedback loops, the book highlights strategies for real-time curriculum adjustments and personalized learning pathways. It also explores the potential of AI in measuring learning outcomes, enhancing instructional quality, and promoting accountability. This resource is essential for modern educators, academic leaders, and education technology innovators.
Dr. Anshad A. S. is an energetic and young individual who holds a doctoral degree in electronics engineering and has significant academic and administrative experience in Engineering Colleges. He currently serves as the Principal of the John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala, under APJ Abdul Kalam Technological University (KTU). He is passionate about research, believes in learning, and strives to enhance OBE skills. His research areas include Wireless Sensor Networks (WSNs), Artificial Intelligence, Medical Imaging, Biomedical, and Communication. He is an approved research supervisor at APJA KTU and has 16+ years of academic experience in teaching and managerial positions. His research findings have been published in SCIE, SCOPUS, UGC care and other Google-indexed journals. He has authored some books and patented some designs and utilities. He has attended and presented many research articles at international conferences.He is updating his knowledge by organizing and undergoing many FDPs, PDP’s, workshops, seminars, and MOOCs to comply with the current scenario. He has memberships in several professional institutions like FIETE, MISTE, CSI, IAENG, ABCD Index, ITA, AMIEE, IFERP, IISD, etc. He is a reviewer for some reputed journal publications and conferences. He is also a part of some funded projects.
Dr.Julius Irudayasamy is an Assistant Professor at the Department of English Language and Literature at Dhofar University. He teaches both undergraduate and postgraduate students and has presented papers at various international conferences. Additionally, he has published book chapters and research papers in Web of Science and Scopus-indexed journals on topics related to ELT, English language proficiency, and Computer-Assisted Language Learning.
Dr.Raj Kumar Gupta is currently an Senior Assistant Professor, Sardar Vallabhbhai Patel College, Bhabhua, Constituent unit of Veer Kunwar Singh University, Ara, Bihar. He completed his Ph. D. from University of Delhi, delhi.His area of interest is Material Science & Computing, IoT. He has 10 years of experience in teaching and research. He is a Life Member of STAMI. He has co-authored & published patent, copyright, also participated in national & international conferences like AICTE, ISTE approved-sponsored, IEEE and published research papers in renowned international journals including Scopus indexed. He has participated in AICTE, and university sponsored FDP & workshops including material Science, AI related studies. He has been worked as a Reviewer of research papers in Conference. He has delivered Expert Talks various seminars.
Nisha Rathore is an Assistant Professor at Amity School of Engineering and Technology, Amity University Chhattisgarh, Raipur. With a distinguished academic background in Computer Science and Engineering, including a B.Tech. from Pranveer Singh Institute of Technology, Kanpur, an M.Tech. from National Institute of Technology, Patna, and enrolled as Ph.D. scholar at IIT (ISM) Dhanbad, Nisha has established herself as a leading expert in her field. Her impressive credentials are complemented by a slew of achievements, including GATE and UGC-NET success, numerous research publications, a book, multiple book chapters, and three patents. Her research interests span brain-computer interface, soft computing, computer networks, fuzzy logic, and machine learning. As a member of IAENG and the Institutional Innovation Council, Nisha actively promotes computer science education and innovation. With her self-help book, 'The Paradise of Ultimate Happiness,' Nisha extends her expertise beyond academics, empowering students to prioritize their well-being and happiness.