Transforming Digital Education

Amit Kumar Tyagi, PhD is an Assistant Professor at the School of Law, Forensic Justice and Policy Studies, National Forensic Sciences University, Gandhinagar, Gujarat, India. He has published over 350 papers in refereed international journals, conferences, authored five books and edited more than 40 books. He has also filed more than 15 patents (nationally and internationally) in the areas of deep learning, Internet of Things, cyber-physical systems and computer vision.

• Preface xxixAcknowledgments xxxiPart 1: Fundamentals 11 Introduction to AI-Driven Smart Facilities for Modern Schools 3Atchaya M., B. Nandhitha, Praveen Joe I. R. and Vijay John1.1 Introduction 41.2 Historical Context of Technology in Education 91.3 Digital Transformation in Schools: Challenges and Opportunities 161.4 The Role of AI in Modernizing Educational Environments 201.5 Overview of Intelligent School Facility Design 261.6 Conclusion 302 AI-Driven Smart Facilities for Modern Schools in Today's Era 35D. Kalaiabirami, M. Marikkannan, S.D. Prabu Ragavendiran, K. Sumathi and S. Ramesh2.1 Introduction to AI-Driven Smart Facilities 362.2 Digital Transformation in Schools 462.3 Intelligent School Facility Design 502.4 Components of Modern School 562.5 Integrating Future Work Skills 592.6 Comparison between Traditional and Modern Education Systems 592.7 Conclusion 623 Understanding AI Technologies and Smart Systems 65R. Felista Sugirtha Lizy, R. Vadivukarasi, Punit Pathak and Gusti Bagus Yosia Wiryakusuma3.1 Introduction 663.2 Related Works 683.3 AI Technologies in Machine Learning 723.4 AI Technologies in Computer Vision 763.5 The Internet of Things (IoT) in Educational Facilities 793.6 Data Analytics and Predictive Modeling in AI and Smart Systems 803.7 Integrating AI with Existing Educational Infrastructure 813.8 Applications of Machine Learning 823.9 Challenges and Future of Machine Learning 833.10 Future Trends in AI and Smart Systems 863.11 Conclusion and Future Work 914 A Comprehensive System for Multi-Source Content Extraction and Question Generation with LLM Validation 95Suresh Manic K., Ahmed Al-Balushi, Al-Bemani, A.S., Saleh Alaraimi, Balaji G., Asiya Najeeb and Uma Suresh4.1 Introduction 964.2 Literature Review 974.3 Methodology 1004.4 Implementation and Results 1084.5 Conclusion 1134.6 Future Work 1145 AI-Driven Analytics for Student Performance and Behavior 117Mohan Singh, Seema Singh, Kapil Dev Tyagi and Vaibhav Bhushan Tyagi5.1 Introduction 1185.2 Understanding AI-Driven Analytics in Education 1225.3 Applications of AI in Student Performance Analytics 1245.4 Artificial Intelligence in Behavioral Analysis for Students 1275.5 Data Sources and AI Techniques 1295.6 Case Studies and Real-World Implementations 1335.7 Challenges and Ethical Considerations 135.8 Future Trends and Innovations 1405.9 Conclusion 1436 Few-Shot Learning and Zero-Shot Learning Paradigms 147Shrikant Tiwari, Kanchan Naithani, Vinay Dwivedi and Ramesh Wadawadagi6.1 Introduction 1486.2 Foundations of Machine Learning 1506.3 Few-Shot Learning 1566.4 Zero-Shot Learning 1646.5 Hybrid Approaches 1706.6 Few-Shot and Zero-Shot Learning in Computer Vision 1776.7 Conclusion 1827 Future of Human-AI Interaction in Education 189Perarasi T., Manoj R., Deepika M., Kishore Bingi and Ramkumar R.7.1 Introduction 1907.2 AI as a Collaborative Partner in Education 1917.3 Envisioning AI-Enhanced Hybrid Classrooms 1937.4 AI-Driven Virtual and Augmented Reality in Learning 1977.5 Social and Emotional Dimensions of AI in Learning 2017.6 Building Human-AI Trust into the Learning Process 2027.7 The Impact of AI on Student Collaboration and Peer Learning 2067.8 AI in Inclusive Education for Special Needs 2107.9 Conclusion 2128 Leveraging Generative AI for Computer Science Education 217M. K. Abiodun, Amit Kumar Tyagi, J. B. Awotunde, A. E. Adeniyi, D. R. Aremu and S. Ejimogu8.1 Introduction 2188.2 Related Works 2198.3 Proposed Solution 2278.4 Implementation and Results 2348.5 Conclusion and Future Work 2449 Personalized Learning Environments in AI-Driven Smart Facilities for Modern Schools 249Vidish Kumar, Garima Jain, Ankush Jain and Sanny Kumar9.1 Introduction 2509.2 Dynamic Classroom Configurations through AI 2519.3 AI-Enabled Adaptive Learning Spaces 2539.4 Merging Physical and Virtual Learning: Blended Models 2559.5 AI-Driven AR/VR Experiential Learning 2569.6 Methodology and Implementation 2589.7 Expanded Case Studies and Data Analysis 2619.8 Conclusion and Future Directions 26410 Smart Classroom Using AI-Experimental Analysis 269Swathi Gowroju, S. Sowjanya Chintalapati, B. Suresh Babu and Fateh Mebarek-Oudina10.1 Introduction 27010.2 Literature Survey 27110.3 Proposed System 27410.4 Proposed Architecture 27610.5 Analysis and Results 28010.6 Discussion 28810.7 Conclusion 289Part 2: Methods and Principles 29111 Gamification and AI-Driven Engagement Tools 293S.S. Sivaraju, B. Shuriya, Prabhu D., P. Vetrivelan, S. Sridharan and Ismail Musirin11.1 Introduction 29411.2 The Role of Gamification in Education 29411.3 AI-Driven Engagement Tools in Education 30011.4 Enacting AI-Driven Gamification in Learning Environments 31011.5 Future Opportunities and Challenges 31512 AI for Student Engagement and Motivation 319Jimit Patel, Meet Patel and Aniket Patel12.1 Introduction 31912.2 Related Works 32112.3 Case Studies: Increasing Engagement with AI 33112.4 Conclusion and Future Work 33513 Hardware and Firmware Design of a Smart Classroom Automation System 339Naman Tanwar, Monish Kumar H. S., Mohit Banka, Sushmit Sanskar, Vidhya S. and Konguvel E.13.1 Introduction 33913.2 Related Works 34113.3 Hardware Design 34313.4 Firmware Design 35513.5 Results and Discussions 36213.6 Future Improvements 36513.7 Conclusion 36514 Internal Service Quality in Higher Education: Exploring Key Determinants and Implications 369Parthiban R. and Shefali Srivastava14.1 Introduction 37014.2 Theoretical Framework and Hypothesis Development 37214.3 Research Methodology 38014.4 Result 38714.5 Discussion 39814.6 Conclusion 402Part 3: Applications 41315 Role of Artificial Intelligence in the Development of Education Industry 4.0: A Systematic Review 415Aashka Thakkar, Axita Thakkar and Tsegaye Mayhewos15.1 Introduction 41615.2 Bibliometric Literature Review 41815.3 The Need if Integration of AI in Higher Education 42115.4 Usage of AI Tools for Education 42315.5 Increasing Role of AI in Personalized Education 42715.6 Challenges of Using AI in Education 4.0 42915.7 Why AI and Education Should Go Hand in Hand 43116 Generative AI Technologies, Models and Applications 437Shruti Mehra and Avinash Kumar Sharma16.1 Introduction 43816.2 Literature Review 44016.3 Generative AI Technologies 44416.4 Transformer-Based Models for Generation 45416.5 Applications of Generative AI 46416.6 Conclusion 46617 Machine Learning and Deep Learning-Based Intelligent Tutoring Systems 469Vikram Singh, Sangeeta Rani and Sanjay Singh17.1 Intelligent Tutoring Systems 47017.2 Related Works 47217.3 Learner Profiling Model 47617.4 Question-Topic Mapping Model 48417.5 A Framework for ITS 48817.6 Conclusion 49418 Integrating Digital Twin for Acquiring Smart Classroom Facilities to Enhance Teaching-Learning Process 499Ramya Perumal, Kaladevi A.C. and V. Lathika18.1 Introduction 50018.2 General Framework for Digital Twin 50718.3 Creating Digital Twins for School Buildings and Classrooms 51318.4 Predictive Maintenance and Real-Time Facility Management 51918.5 Simulating Learning Environments for Research and Training 52118.6 Future Potentials of Using Digital Twins in the Education Domain 52618.7 Conclusion 52719 Bridging Realities with AI-Enabled Software Development: Generative AI, Digital Twins, and the Future of Privacy 531Yashendra Rajput, M.H. Razi and Avinash Kumar Sharma19.1 Introduction 53219.2 The Rise of AI in Software Development 53419.3 Generative AI: Powering the Code Revolution 53919.4 Digital Twins: Simulating Reality in Real Time 54119.5 The Future of AI-Enhanced Software Development 54919.6 Conclusion 552Part 4: Challenges and Future Research Directions 55720 Beyond the AI Hype: Practical and Ethical Dimensions of AI in Education 559Ashu Verma, Anushka Gupta and Amit Kumar Tyagi20.1 Introduction 56020.2 Background Work 56220.3 Literature Review 56420.4 Problem Definition 57120.5 Objectives 57220.6 Comparative Analysis of Literatures 57220.7 Proposed Solution 57520.8 Discussion 57720.9 Limitations and Future Work 57920.10 Conclusion 57921 Emotion-Driven Music Recommendations Using Speech Recognition and an Interactive Gradio Interface for Personalized Content Delivery 583Rukmani P and Rachana Supriya Nandipati21.1 Introduction 58421.2 Related Work 58521.3 Existing Work 58721.4 Proposed Work 58821.5 Methodology 59021.6 Evaluation Metrics 59921.7 Results and Discussion 60221.8 Conclusion 60721.9 Challenges and Future Scope 60822 Transforming Students into Ethical Leaders through AI-Enhanced Pedagogical Practices and a Model for the Future of Education 611P. Kiruthika, D. Sivabalaselvamani, D. Selvakarthi and Ranjit Singh Sarban Singh22.1 Introduction 61222.2 Related Works 61522.3 Transforming Education through AI Enhanced Outcome Based Learning 62322.4 Implementation 62622.5 Academic Performance 63022.6 Conclusion and Future Work 63523 Artificial Intelligence - Natural Language Processing Based Business Intelligence 639Pooja Bhatt, Shabnam Kumari and Amit Kumar Tyagi23.1 Introduction to Business Intelligence 64023.2 Foundations of NLP in Business Intelligence 64223.3 Applications of NLP in Business Intelligence 64623.4 NLP Techniques for Data Preparation and Analysis 64923.5 Implementation Strategies for NLP-Based BI 65023.6 Open Issues and Challenges and Future Directions for NLP Based BI 65223.7 Conclusion 65424 Securing the Modern World Using AI-Based Quantum Computing 659D. Kalaiabirami, M. Marikkannan and K. Sumathi24.1 Introduction to AI-Based Quantum Security 66024.2 Fundamentals of Quantum Security 66324.3 AI's Role in Quantum Security 66624.4 Applications of AI-Based Quantum Security 67124.5 Detecting and Responding to Threats Using AI and Quantum Computing 67424.6 Challenges and Future Directions 67624.7 Conclusion 68125 AI in Security and Safety Management 685R. Felista Sugirtha Lizy, R. Vadivukarasi, Punit Pathak and Ir. Bambang Sugiyono Agus Purwono25.1 Introduction to AI in Security and Safety Management 68625.2 Literature Review: AI in Security and Safety Management 69025.3 AI in Cybersecurity 69225.4 AI in Physical Security 69625.5 AI in Workplace Safety 69925.6 Ethical and Legal Challenges of AI in Security and Safety 70425.7 Conclusion 70626 The Future of Intelligent School Facilities: Emerging AI Technologies in Education 709S. Umamageswari, L. Sangeetha, V. Shyamala Susan and I Gusti Bagus Yosia Wiryakusuma26.1 Introduction 71026.2 Literature Review: The Evolution of AI in Education 71126.3 The Role of AR, VR, and XR in Transforming Education 71226.4 Benefits of AI and Smart Learning Technologies in Education 71426.5 AI in School Facility Management 71626.6 Challenges and Barriers to the Integration of AI and Smart Technologies in Education 72326.7 Future Directions for AI and Smart Learning Technology 72826.8 Conclusion 733References 734Index 739