ISBN: 978-81-998199-9-3
AUTHOR DETAILS: DR. SIDDHARTHA CHOUBEY, DR. I. BREMNAVAS, DR. PRANJALI MADHUR, DR. VENKATESH.C.K
CHAPTER 1: INTRODUCTION TO SMART EDUCATION SYSTEMS
CHAPTER 2: THEORETICAL FOUNDATIONS OF AI, ML, AND IOT IN EDUCATION
CHAPTER 3: DATA-DRIVEN FRAMEWORKS FOR SMART LEARNING
CHAPTER 4: INTELLIGENT LEARNING MANAGEMENT SYSTEMS
CHAPTER 5: PERSONALIZED AND ADAPTIVE LEARNING MODELS
CHAPTER 6: IOT-ENABLED SMART CAMPUSES
CHAPTER 7: ENHANCING STUDENT ENGAGEMENT AND MOTIVATION
CHAPTER 8: STUDENT WELLBEING AND MENTAL HEALTH MONITORING
CHAPTER 9: LEARNING ANALYTICS AND ACADEMIC PERFORMANCE PREDICTION
CHAPTER 10: FACULTY EMPOWERMENT AND ACADEMIC INNOVATION
CHAPTER 11: ASSESSMENT, EVALUATION, AND FEEDBACK SYSTEMS
CHAPTER 12: SECURITY, PRIVACY, AND ETHICAL CHALLENGES
CHAPTER 13: IMPLEMENTING SMART EDUCATION SYSTEMS
CHAPTER 14: EMERGING TECHNOLOGIES AND FUTURE OPPORTUNITIES
CHAPTER 15: ENHANCING STUDENT LEARNING THROUGH AI AND ML
CHAPTER 16: FUTURE DIRECTIONS IN AI, ML, AND IOT FOR EDUCATION
CHAPTER 17: DATA-DRIVEN FRAMEWORKS FOR EDUCATIONAL INNOVATION
CHAPTER 18: IOT-ENABLED LEARNING ENVIRONMENTS
CHAPTER 19: DATA PRIVACY, SECURITY, AND ETHICAL CONSIDERATIONS
CHAPTER 20: IMPLEMENTING AI, ML, AND IOT IN HIGHER EDUCATION INSTITUTIONS