Preface xiii
Pushan KUMAR DUTTA, Vasileios PALIKTZOGLOU and Sonal TRIVEDI

Part 1. Foundations of AI-Enabled Education Transformation 1

Chapter 1. From Automation to Augmentation: AI and the Human-centered Transformation of Education 3
Doaa Sami KHAFAGA

1.1. Introduction 4
1.2. Literature review 9
1.3. Discussion 13
1.4. Conclusion and future directions 19
1.5. References 20

Chapter 2. Smart Classrooms, Wise Choices: AI, Ethics and Human–AI Collaboration in Education 25
Amal H. ALHARBI

2.1. Introduction 26
2.2. Literature review 30
2.3. Discussion 34
2.4. Conclusion and future work 38
2.5. References 41

Chapter 3. AI and the Digital Drive in Higher Education: A Dual-Driven Framework for Innovation and Entrepreneurship Learning 45
Amel Ali ALHUSSAN

3.1. Introduction 46
3.2. Literature review 49
3.3. Discussion 55
3.4. Conclusion and future work 58
3.5. References 60

Chapter 4. From Static Classrooms to Living Systems: AI-Driven Digital Twins as the Backbone of Adaptive, Human-centric Education 63
Marwa M. EID

4.1. Introduction 64
4.2. Literature review 69
4.3. Discussion 74
4.4. Conclusion and future work 80
4.5. References 81

Chapter 5. Exploring AI and Digital Divide in Education 85
Pushan KUMAR DUTTA, Saurabh CHANDRA and Bhupinder SINGH

5.1. Introduction 85
5.2. Digital divide in education: dimensions of the digital divide and access inequality: devices, connectivity and infrastructure 87
5.3. Impacts of AI on the digital divide: AI as a tool for personalized learning and inclusion 88
5.4. Bridging the AI-driven digital divide: strategies for expanding access to AI education and tools 89
5.5. Role of the government, institutions and private sector in digital education and the role of AI 91
5.6. Building digital literacy and AI competence in marginalized communities 93
5.7. Conclusion and future prospects 94
5.8. References 96

Part 2. AI-Driven Pedagogy, Learning Innovation and Digital Experiences 99

Chapter 6. AI-Driven Pedagogy in Education: A Bibliometric and Focused Analysis of the Impact of Integrating ChatGPT 101
Ayesha Mubarak ALDHABAH ALKETBI and Hassan ABUHASSNA

6.1. Introduction 101
6.2. Literature review 103
6.3. Methodology 104
6.4. Results 109
6.5. Discussion 118
6.6. Conclusion 119
6.7. References 120

Chapter 7. The Role of Generative AI in Higher Education: A Systematic Literature Review and Bibliometric Analysis of Opportunities, Challenges and Pedagogical Implications 123
Fatema AL NABHANI, Mahizer Bin HAMZAH and Hassan ABUHASSNA

7.1. Introduction 124
7.2. Materials and methods 125
7.3. Results 130
7.4. Discussion 150
7.5. Conclusion 153
7.6. References 154

Chapter 8. Exploring AI-based E-Government Decision-Making for the Development of Education 159
Muhammad YOUNUS, Halimah Abdul MANAF, Andi ADAWIAH and Ni Putu Tirka WIDANTI

8.1. Introduction 159
8.2. Literature review 161
8.3. Research method 166
8.4. Results and discussion 167
8.5. Conclusion 178
8.6. References 179

Chapter 9. AR and VR Enhanced Personalized Digital Education Fostering Sustainable Education System 187
Bhupinder SINGH, Pushan KUMAR DUTTA and Saurabh CHANDRA

9.1. Introduction 187
9.2. Conceptual foundations of AR and VR in education 189
9.3. Personalization through AI-driven adaptive learning 190
9.4. Immersive sustainability education 192
9.5. Enhancing accessibility and inclusion 194
9.6. Incorporation in STEM and professional training 195
9.7. Challenges and ethical considerations 196
9.8. Conclusion 197
9.9. Future scope 197
9.10. References 198

Part 3. Applications and Socio-Economic-Global Perspectives 201

Chapter 10. Advancing Academic Research and Student Scholarship through AI 203
R.G. ABASZADE, V.H. ABDULLAYEV and I.X. NORMATOV

10.1. Introduction 203
10.2. AI technologies in academic research 204
10.3. AI applications in students' scholarly work 206
10.4. Conclusion 207
10.5. References 208

Chapter 11. Critical Digital Literacy and AI Training for Faculty and Students: Building Competence, Ethics and Resilience in Higher Education 213
Saed Adnan MUSTAFA, Abdallah ALTRAD and Aseel ABUHAIJA

11.1. Introduction 214
11.2. Theoretical foundations 215
11.3. Current landscape of AI use in higher education 218
11.4. Critical issues in AI-inspired higher education 221
11.5. Multilevel framework for critical AI literacy (CALF model) 225
11.6. Practical recommendations 229
11.7. Future directions and conclusions 233
11.8. References 236

Chapter 12. The Future of AI in Education 239
Tareq N. HASHEM, Kuldeep BHALERAO, Sunday CLEMENT and Asokan VASUDEVAN

12.1. Introduction 239
12.2. Literature review 242
12.3. Methodology 245
12.4. Findings and discussion 245
12.5. Conclusion 246
12.6. References 246

List of Authors 249
Index 253