Digitalizing Learning explores the transformative role of big data, artificial intelligence, IoT, and emerging technologies in reshaping modern education. This comprehensive volume presents innovative teaching–learning strategies, data-driven decision-making frameworks, and real-world applications that enhance personalized learning and academic outcomes.

Covering topics such as educational analytics, smart classrooms, augmented reality, generative AI, gamification, and ethical considerations, the book bridges theory with practice. Designed for educators, researchers, policymakers, and ed-tech professionals, it offers valuable insights into building efficient, inclusive, and future-ready education systems powered by data and intelligent technologies.

Dr. Ashish Kumar (Ph.D.) is currently working as an Associate Professor at Bennett University since 2022. Prior to this, he served at Bharati Vidyapeeth’s College of Engineering (affiliated with Guru Gobind Singh Indraprastha University) from August 2009 to July 2022.He earned his Ph.D. in Computer Science and Engineering from Delhi Technological University (formerly DCE) in 2020 and received the Best Researcher Award for his contributions to the field of computer vision. He also holds an M.Tech. with distinction in Computer Science and Engineering from GGSIPU, New Delhi.

Dr. Kumar has published more than 25 research papers in reputed national and international journals and conferences, along with over 15 book chapters in Scopus-indexed volumes. He has authored and edited several books in the domains of artificial intelligence, computer vision, and healthcare technologies.He is an active member of various international professional societies and serves as a reviewer for reputed journals. He has also contributed to the academic community as a technical program committee member and session chair at several national and international conferences.His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Dr. Alka Leekha is an Associate Professor at Bharati Vidyapeeth’s College of Engineering, New Delhi, with over 22 years of experience in Computer Science and Information Technology. She earned her Ph.D. in Computer and Information Sciences from Visvesvaraya Technological University in 2024, focusing on secure and efficient cloud storage models for big data. She holds an M.Tech. (IT) with distinction from Guru Gobind Singh Indraprastha University and a B.E. from Maharshi Dayanand University.

Dr. Leekha holds two patents in Big Data Analytics and Object Detection and has published extensively in international journals and conferences. Her research interests include Big Data Analytics, Data Security, Computer Vision, Cloud Computing, Deep Learning, and Artificial Intelligence. She has actively contributed to academic leadership, mentored a winning team in the Smart India Hackathon 2019, and coordinated various technical programs. She is a life member of Indian Society for Technical Education and regularly participates in advanced faculty development initiatives.

Dr. Rachna Jain is currently serving as an Associate Professor at Bhagwan Parshuram Institute of Technology (affiliated with Guru Gobind Singh Indraprastha University) since August 2021. She previously worked as an Assistant Professor at Bharati Vidyapeeth’s College of Engineering from 2007 to 2021. She completed her Ph.D. in Computer Science from Banasthali Vidyapith in 2017.

She holds an M.E. degree from Delhi College of Engineering (now DTU) and a B.Tech. from Kurukshetra University. With over 15 years of academic and research experience, Dr. Jain has published more than 50 research papers in reputed journals and conferences (Scopus/SCI indexed) and contributed over 10 book chapters. She has also served as a session chair at various international conferences and was Co-Principal Investigator of a Department of Science and Technology India funded project on autonomous intelligent drone systems for city surveillance.

Her research interests include Cloud Computing, Fuzzy Logic, Network and Information Security, Swarm Intelligence, Big Data and IoT, Deep Learning, and Machine Learning.

Chapter 1.Understanding Big Data in Education
Chapter 2.From Data to Insight: The Analytics Pipeline
Chapter 3.Artificial Intelligence in Educational Analytics: Predicting Student
Chapter 4.Early Warning Systems to Predict Student Attrition: A Cross-Domain Framework
Chapter 5.Emerging Trends in Artificial Intelligence for Education Analytics 
Chapter 6.Enhancing Learning Results with Augmented Reality in E-Learning 
Chapter 7.Investigating Scope of Lot and Big Data in Smart Classroom
Chapter 8.Ed Tech Innovations: The Future of Teaching and Learning
Chapter 9.Data Privacy and Ethical Considerations in the AI Era: From Principles to Practice 
Chapter 10.Improving Educators Effectiveness and Analytics
Chapter 11.From  Concept  to campus: Real-World Implementations    of Generative Artificial
Chapter 12.Ed Tech Innovations: The Future of Teaching and Learning
Chapter 13.Gamification    and Big Data Engaging Learners: Through Play 
Chapter 14.A Decade of Artificial Intelligence in Education: A Bibliometric Analysis
Chapter 15.The Future of Education: A Vision for Smarter Teaching