Preface xxix
Acknowledgments xxxi

Part 1: Fundamentals 1

1 Introduction to AI-Driven Smart Facilities for Modern Schools 3
Atchaya M., B. Nandhitha, Praveen Joe I. R. and Vijay John

1.1 Introduction 4
1.2 Historical Context of Technology in Education 9
1.3 Digital Transformation in Schools: Challenges and Opportunities 16
1.4 The Role of AI in Modernizing Educational Environments 20
1.5 Overview of Intelligent School Facility Design 26
1.6 Conclusion 30

2 AI-Driven Smart Facilities for Modern Schools in Today's Era 35
D. Kalaiabirami, M. Marikkannan, S.D. Prabu Ragavendiran, K. Sumathi and S. Ramesh

2.1 Introduction to AI-Driven Smart Facilities 36
2.2 Digital Transformation in Schools 46
2.3 Intelligent School Facility Design 50
2.4 Components of Modern School 56
2.5 Integrating Future Work Skills 59
2.6 Comparison between Traditional and Modern Education Systems 59
2.7 Conclusion 62

3 Understanding AI Technologies and Smart Systems 65
R. Felista Sugirtha Lizy, R. Vadivukarasi, Punit Pathak and Gusti Bagus Yosia Wiryakusuma

3.1 Introduction 66
3.2 Related Works 68
3.3 AI Technologies in Machine Learning 72
3.4 AI Technologies in Computer Vision 76
3.5 The Internet of Things (IoT) in Educational Facilities 79
3.6 Data Analytics and Predictive Modeling in AI and Smart Systems 80
3.7 Integrating AI with Existing Educational Infrastructure 81
3.8 Applications of Machine Learning 82
3.9 Challenges and Future of Machine Learning 83
3.10 Future Trends in AI and Smart Systems 86
3.11 Conclusion and Future Work 91

4 A Comprehensive System for Multi-Source Content Extraction and Question Generation with LLM Validation 95
Suresh Manic K., Ahmed Al-Balushi, Al-Bemani, A.S., Saleh Alaraimi, Balaji G., Asiya Najeeb and Uma Suresh

4.1 Introduction 96
4.2 Literature Review 97
4.3 Methodology 100
4.4 Implementation and Results 108
4.5 Conclusion 113
4.6 Future Work 114

5 AI-Driven Analytics for Student Performance and Behavior 117
Mohan Singh, Seema Singh, Kapil Dev Tyagi and Vaibhav Bhushan Tyagi

5.1 Introduction 118
5.2 Understanding AI-Driven Analytics in Education 122
5.3 Applications of AI in Student Performance Analytics 124
5.4 Artificial Intelligence in Behavioral Analysis for Students 127
5.5 Data Sources and AI Techniques 129
5.6 Case Studies and Real-World Implementations 133
5.7 Challenges and Ethical Considerations 13
5.8 Future Trends and Innovations 140
5.9 Conclusion 143

6 Few-Shot Learning and Zero-Shot Learning Paradigms 147
Shrikant Tiwari, Kanchan Naithani, Vinay Dwivedi and Ramesh Wadawadagi

6.1 Introduction 148
6.2 Foundations of Machine Learning 150
6.3 Few-Shot Learning 156
6.4 Zero-Shot Learning 164
6.5 Hybrid Approaches 170
6.6 Few-Shot and Zero-Shot Learning in Computer Vision 177
6.7 Conclusion 182

7 Future of Human-AI Interaction in Education 189
Perarasi T., Manoj R., Deepika M., Kishore Bingi and Ramkumar R.

7.1 Introduction 190
7.2 AI as a Collaborative Partner in Education 191
7.3 Envisioning AI-Enhanced Hybrid Classrooms 193
7.4 AI-Driven Virtual and Augmented Reality in Learning 197
7.5 Social and Emotional Dimensions of AI in Learning 201
7.6 Building Human-AI Trust into the Learning Process 202
7.7 The Impact of AI on Student Collaboration and Peer Learning 206
7.8 AI in Inclusive Education for Special Needs 210
7.9 Conclusion 212

8 Leveraging Generative AI for Computer Science Education 217
M. K. Abiodun, Amit Kumar Tyagi, J. B. Awotunde, A. E. Adeniyi, D. R. Aremu and S. Ejimogu

8.1 Introduction 218
8.2 Related Works 219
8.3 Proposed Solution 227
8.4 Implementation and Results 234
8.5 Conclusion and Future Work 244

9 Personalized Learning Environments in AI-Driven Smart Facilities for Modern Schools 249
Vidish Kumar, Garima Jain, Ankush Jain and Sanny Kumar

9.1 Introduction 250
9.2 Dynamic Classroom Configurations through AI 251
9.3 AI-Enabled Adaptive Learning Spaces 253
9.4 Merging Physical and Virtual Learning: Blended Models 255
9.5 AI-Driven AR/VR Experiential Learning 256
9.6 Methodology and Implementation 258
9.7 Expanded Case Studies and Data Analysis 261
9.8 Conclusion and Future Directions 264

10 Smart Classroom Using AI-Experimental Analysis 269
Swathi Gowroju, S. Sowjanya Chintalapati, B. Suresh Babu and Fateh Mebarek-Oudina

10.1 Introduction 270
10.2 Literature Survey 271
10.3 Proposed System 274
10.4 Proposed Architecture 276
10.5 Analysis and Results 280
10.6 Discussion 288
10.7 Conclusion 289

Part 2: Methods and Principles 291

11 Gamification and AI-Driven Engagement Tools 293
S.S. Sivaraju, B. Shuriya, Prabhu D., P. Vetrivelan, S. Sridharan and Ismail Musirin

11.1 Introduction 294
11.2 The Role of Gamification in Education 294
11.3 AI-Driven Engagement Tools in Education 300
11.4 Enacting AI-Driven Gamification in Learning Environments 310
11.5 Future Opportunities and Challenges 315

12 AI for Student Engagement and Motivation 319
Jimit Patel, Meet Patel and Aniket Patel

12.1 Introduction 319
12.2 Related Works 321
12.3 Case Studies: Increasing Engagement with AI 331
12.4 Conclusion and Future Work 335

13 Hardware and Firmware Design of a Smart Classroom Automation System 339
Naman Tanwar, Monish Kumar H. S., Mohit Banka, Sushmit Sanskar, Vidhya S. and Konguvel E.

13.1 Introduction 339
13.2 Related Works 341
13.3 Hardware Design 343
13.4 Firmware Design 355
13.5 Results and Discussions 362
13.6 Future Improvements 365
13.7 Conclusion 365

14 Internal Service Quality in Higher Education: Exploring Key Determinants and Implications 369
Parthiban R. and Shefali Srivastava

14.1 Introduction 370
14.2 Theoretical Framework and Hypothesis Development 372
14.3 Research Methodology 380
14.4 Result 387
14.5 Discussion 398
14.6 Conclusion 402

Part 3: Applications 413

15 Role of Artificial Intelligence in the Development of Education Industry 4.0: A Systematic Review 415
Aashka Thakkar, Axita Thakkar and Tsegaye Mayhewos

15.1 Introduction 416
15.2 Bibliometric Literature Review 418
15.3 The Need if Integration of AI in Higher Education 421
15.4 Usage of AI Tools for Education 423
15.5 Increasing Role of AI in Personalized Education 427
15.6 Challenges of Using AI in Education 4.0 429
15.7 Why AI and Education Should Go Hand in Hand 431

16 Generative AI Technologies, Models and Applications 437
Shruti Mehra and Avinash Kumar Sharma

16.1 Introduction 438
16.2 Literature Review 440
16.3 Generative AI Technologies 444
16.4 Transformer-Based Models for Generation 454
16.5 Applications of Generative AI 464
16.6 Conclusion 466

17 Machine Learning and Deep Learning-Based Intelligent Tutoring Systems 469
Vikram Singh, Sangeeta Rani and Sanjay Singh

17.1 Intelligent Tutoring Systems 470
17.2 Related Works 472
17.3 Learner Profiling Model 476
17.4 Question-Topic Mapping Model 484
17.5 A Framework for ITS 488
17.6 Conclusion 494

18 Integrating Digital Twin for Acquiring Smart Classroom Facilities to Enhance Teaching-Learning Process 499
Ramya Perumal, Kaladevi A.C. and V. Lathika

18.1 Introduction 500
18.2 General Framework for Digital Twin 507
18.3 Creating Digital Twins for School Buildings and Classrooms 513
18.4 Predictive Maintenance and Real-Time Facility Management 519
18.5 Simulating Learning Environments for Research and Training 521
18.6 Future Potentials of Using Digital Twins in the Education Domain 526
18.7 Conclusion 527

19 Bridging Realities with AI-Enabled Software Development: Generative AI, Digital Twins, and the Future of Privacy 531
Yashendra Rajput, M.H. Razi and Avinash Kumar Sharma

19.1 Introduction 532
19.2 The Rise of AI in Software Development 534
19.3 Generative AI: Powering the Code Revolution 539
19.4 Digital Twins: Simulating Reality in Real Time 541
19.5 The Future of AI-Enhanced Software Development 549
19.6 Conclusion 552

Part 4: Challenges and Future Research Directions 557

20 Beyond the AI Hype: Practical and Ethical Dimensions of AI in Education 559
Ashu Verma, Anushka Gupta and Amit Kumar Tyagi

20.1 Introduction 560
20.2 Background Work 562
20.3 Literature Review 564
20.4 Problem Definition 571
20.5 Objectives 572
20.6 Comparative Analysis of Literatures 572
20.7 Proposed Solution 575
20.8 Discussion 577
20.9 Limitations and Future Work 579
20.10 Conclusion 579

21 Emotion-Driven Music Recommendations Using Speech Recognition and an Interactive Gradio Interface for Personalized Content Delivery 583
Rukmani P and Rachana Supriya Nandipati

21.1 Introduction 584
21.2 Related Work 585
21.3 Existing Work 587
21.4 Proposed Work 588
21.5 Methodology 590
21.6 Evaluation Metrics 599
21.7 Results and Discussion 602
21.8 Conclusion 607
21.9 Challenges and Future Scope 608

22 Transforming Students into Ethical Leaders through AI-Enhanced Pedagogical Practices and a Model for the Future of Education 611
P. Kiruthika, D. Sivabalaselvamani, D. Selvakarthi and Ranjit Singh Sarban Singh

22.1 Introduction 612
22.2 Related Works 615
22.3 Transforming Education through AI Enhanced Outcome Based Learning 623
22.4 Implementation 626
22.5 Academic Performance 630
22.6 Conclusion and Future Work 635

23 Artificial Intelligence - Natural Language Processing Based Business Intelligence 639
Pooja Bhatt, Shabnam Kumari and Amit Kumar Tyagi

23.1 Introduction to Business Intelligence 640
23.2 Foundations of NLP in Business Intelligence 642
23.3 Applications of NLP in Business Intelligence 646
23.4 NLP Techniques for Data Preparation and Analysis 649
23.5 Implementation Strategies for NLP-Based BI 650
23.6 Open Issues and Challenges and Future Directions for NLP Based BI 652
23.7 Conclusion 654

24 Securing the Modern World Using AI-Based Quantum Computing 659
D. Kalaiabirami, M. Marikkannan and K. Sumathi

24.1 Introduction to AI-Based Quantum Security 660
24.2 Fundamentals of Quantum Security 663
24.3 AI's Role in Quantum Security 666
24.4 Applications of AI-Based Quantum Security 671
24.5 Detecting and Responding to Threats Using AI and Quantum Computing 674
24.6 Challenges and Future Directions 676
24.7 Conclusion 681

25 AI in Security and Safety Management 685
R. Felista Sugirtha Lizy, R. Vadivukarasi, Punit Pathak and Ir. Bambang Sugiyono Agus Purwono

25.1 Introduction to AI in Security and Safety Management 686
25.2 Literature Review: AI in Security and Safety Management 690
25.3 AI in Cybersecurity 692
25.4 AI in Physical Security 696
25.5 AI in Workplace Safety 699
25.6 Ethical and Legal Challenges of AI in Security and Safety 704
25.7 Conclusion 706

26 The Future of Intelligent School Facilities: Emerging AI Technologies in Education 709
S. Umamageswari, L. Sangeetha, V. Shyamala Susan and I Gusti Bagus Yosia Wiryakusuma

26.1 Introduction 710
26.2 Literature Review: The Evolution of AI in Education 711
26.3 The Role of AR, VR, and XR in Transforming Education 712
26.4 Benefits of AI and Smart Learning Technologies in Education 714
26.5 AI in School Facility Management 716
26.6 Challenges and Barriers to the Integration of AI and Smart Technologies in Education 723
26.7 Future Directions for AI and Smart Learning Technology 728
26.8 Conclusion 733

References 734
Index 739