AI, Machine Learning, and IoT Applications for Academic Performance Prediction, Faculty Well-Being, and Educational Outcomes in Higher Education
Dr. Mohd. Asif Gandhi, Dr. Alka Dutt, Dr. V. Saravanan, Komal Thool Umare
Indexed In: google scholar
Release Date: 28/10/2025 | Copyright:©2025 | Pages: 389
DOI: 10.71443/9789349552258
ISBN10: 9349552256 | ISBN13: 9789349552258
This book delves into the integration of AI, Machine Learning, and the Internet of Things (IoT) in higher education, focusing on their transformative applications in academic performance prediction, faculty well-being, and overall educational outcomes. It explores how AI and ML algorithms can analyze student data to predict academic success and identify at-risk individuals, while IoT devices can enhance real-time monitoring of learning environments. Additionally, the book investigates the role of AI in supporting faculty well-being through personalized interventions. This comprehensive resource offers innovative solutions to improve education quality, faculty support, and student success in modern academic settings.
This book covers the innovative applications of AI, Machine Learning, and IoT in higher education, emphasizing their roles in academic performance prediction, faculty well-being, and improving educational outcomes. It explores how AI and ML can be leveraged to analyze student data for personalized learning pathways, identify academic trends, and predict student success. The book also highlights IoT's potential in creating smart campuses that monitor and optimize learning environments. Additionally, it examines strategies to enhance faculty well-being through data-driven insights, ultimately driving institutional improvements, fostering student success, and promoting a holistic approach to higher education management.
Dr. Mohd. Asif Gandhi is serving as Associate Professor in Department of Mechanical Engineering at Anjuman-I-Islam’s Kalsekar Technical Campus, Panvel, India; with additional charge as Controller of CIRDPI Cell (Centre of IPR; R&D Projects; Publications and Internal Revenue Generation) for the entire campus. He was formerly the HoD of Mechanical Engineering Department. He is a B.E. (Production Engineering) from M.H. Saboo Siddik College of Engineering; a M.E. (Production Engineering) (Specialization in Manufacturing Engineering) from Fr. Conceicao Rodrigues College of Engineering both affiliated to University of Mumbai; and a Ph.D. in Industrial Engineering from NITIE (now called IIM Mumbai), Mumbai, India. He has worked 10 years in the industry and 18 years in academia. He has got 50 publications to his credit in highly ranked journals. He holds 12 patents and 6 copyrights. He has authored 10 books and has 50 certifications to his credit.
Dr. Alka Dutt is an Assistant Professor at the Cluster Innovation Centre, University of Delhi, where she has been serving since 2015. She possesses more than eighteen years of extensive experience in teaching and research. Dr. Dutt earned her postgraduate degrees in Education, Psychology, and Zoology from the University of Delhi, reflecting her strong interdisciplinary academic foundation. She has published more than ten research papers in reputed national and international journals and has actively participated in various national and international conferences by presenting scholarly papers on diverse themes. Her academic contributions span multiple disciplines, with a strong focus on educational research and innovation. In addition to her publications, Dr. Dutt has successfully edited two academic books, bringing together scholarly perspectives from various domains. She has been actively involved in mentoring students and guiding research work, thereby contributing to the academic and intellectual growth of the University community. Dr. Dutt is also a member of several academic and administrative committees, where she contributes to curriculum design, research development, and institutional planning. Her commitment to higher education, interdisciplinary learning, and academic leadership continues to make a significant impact in the field.
Dr. V. Saravanan is an Associate Professor in Aeronautical Engineering at Nehru Institute of Technology, Autonomous, Coimbatore. With over 12 years of teaching experience, he has published several research papers and presented at national and international conferences. His research interests include renewable energy systems and electric power components. A passionate educator and researcher, he frequently delivers lectures, inspiring students and academic peers.
Komal Thool Umare is an Assistant Professor in the Department of Artificial Intelligence at GHRCE, Nagpur. She is pursuing her Ph.D. in Artificial Intelligence–Biomedical Image Analysis under the guidance of Prof. T. Kishore Kumar at NIT Warangal. She has around five years of academic experience along with prior industry experience in the IT sector. Her research interests include Artificial Intelligence, Machine Learning, Computer Vision and Biomedical Image & Signal Processing. She has delivered talks at international conferences and contributed to various FDPs, workshops and technical events. She is passionate about multidisciplinary innovations integrating engineering, health and technology.