Full Description
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.
Contents
Chapter1.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.InvestigatingScope 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.FromConceptto 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
