Artificial Intelligence and Metaverse in Education

Santosh Kumar Behera, PhD is an Associate Professor in the Department of Education at Kazi Nazrul University with more than 14 years of teaching experience. He has contributed a number of articles and edited volumes in the educational field. His research interests include educational technology, philosophy of education, peace education, and measurement and evaluation in education. Mega Novita, PhD is an Associate Professor and the Head of Foreign Cooperation at Universitas PGRI Semarang. Her study focuses on first-principles calculations of transition metal and rare earth ions using the discrete variational multi-electron method. Establishing standards for new red phosphor materials is the main goal of her research. Pranay Pandey, PhD is an Assistant Professor at the Department of Education at Bhatter College. He has authored many books and published more than 70 research articles and book chapters in various esteemed journals and edited volumes. Additionally, he holds copyrights for eight literary works and has developed ten psychological scales, further cementing his impact in the field of education. Zaffar Ahmad Nadaf, PhD is an Assistant Professor in the School of Education at the Central University of Kashmir. He is the author of three books and has contributed extensively to internationally recognized journals. He is also a board member and editor for several prestigious international journals. Afsana Jerin Shayery is a Lecturer in the Department of English at Daffodil International University. She has published her research works in reputed journals and presented at international conferences. She is an expert in institutional internationalization by profession, and a social activist working for social business, three zeros, and digital equity for all ages.

• Preface xxiii1 Artificial Intelligence: An Educational Frontier 1Mohamed Saud Mira1.1 Introduction 21.2 Role of AI in Education 31.3 Generating Smart Content 61.4 Universal Approaches 71.5 AI's Benefits to Students 71.6 Impartial and Objective Evaluation 91.7 Trends of AI in Education 111.8 Research Gap and Prospects for Future Research 121.9 Conclusion 132 Artificial Intelligence in Education 19Shahzad Rizwan, Chee Ken Nee, Salem Garfan and Muhammad Muzammil2.1 Introduction 202.2 Chapter Organization 352.3 Literature Review 352.4 Objectives of the Study 412.5 Trending Applications 422.6 Challenges and Ethical Concerns in AI-Based Education 472.7 Ethical Use of AI in Decision-Making 502.8 Future Directions and Opportunities for AI in Education 512.9 Limitations 562.10 Educational Implications 562.11 Conclusion 573 Cyborg Intellectuals: Combining Humans and Artificial Intelligence (AI) in Scientific-Article Writing 67Jordy Satria Widodo and Henny Suharyati3.1 Introduction 683.2 Literature Review 703.3 Objectives of The Study 723.4 Research Questions 723.5 Methodology 723.6 Results and Discussion 763.7 Conclusion 874 Intelligent Tutoring Systems: A Five-Year Overview of Research in Developing Countries 91Maylia Fatmawati, Febrian Murti Dewanto, Bambang Agus Herlambang and Noora Qotrun Nada4.1 Introduction 924.2 Literature Review 954.3 Objectives of the Study 974.4 Research Questions 984.5 Methodology 984.6 Result and Discussion 1014.7 Limitations 1114.8 Educational Implications 1114.9 Conclusion 1125 Artificial-Intelligence-Based Tutoring System 117Agus Supriyanto5.1 Introduction 1185.2 Literature Review 1205.3 Objectives of the Study 1235.4 Results and Discussion 1235.5 Conclusion 1326 Personalized Adaptive Learning: A Nascent Pedagogical Approach in Education 137Rufus Olanrewaju Adebisi and Ugochi Nnenna Ndoh6.1 Introduction 1386.2 The Practice of Personalized Adaptive Learning in Education 1426.3 Core Principles of Personalized Adaptive Learning (PAL) 1436.4 Benefits of Personalized Adaptive Learning (PAL) 1446.5 Technologies Underpinning Personalized Adaptive Learning (PAL) 1466.6 Learning Technology in Adaptive Learning Environments 1486.7 Challenges and Ethical Issues in Personalized and Adaptive Learning 1606.8 Psychological and Social Impact of Personalized Learning 1626.9 Ethical Considerations in Digital Learning Environments 1666.10 Implications for Educational Practice 1706.11 Conclusion 1747 Artificial Intelligence in Educational Assessment and Evaluation 183Sari Ayu Wulandari and Jumanto Jumanto7.1 Definition and Concept of AI in Educational Evaluation 1847.2 Application of AI in Various Sectors 1877.3 Relevance of AI in Education 1897.4 Challenges and Opportunities for Integrating AI into Educational Assessment 1917.5 AI in Non-Cognitive Assessment 1977.6 Data Security, Ethics, and Privacy in AI 1998 AI for Administrative Efficiency 207Waewalee Waewchimplee8.1 Introduction 2078.2 Literature Review 2088.3 Automating Administrative Processes for Greater Efficiency 2118.4 AI in Higher Education: Curriculum Development, Ethical Considerations, and Administrative Innovation 2138.5 Advantages of Integrating AI in Administration 2188.6 Highlighting Regional Contexts 2228.7 Trends and Innovations in Problem-Solving with AI 2269 AI and Virtual Learning Advancement in Nigerian Universities 237Basil Osayin Daudu, Jude Zeal Adegoke and Daniel Yakubu Usman9.1 Introduction 2389.2 Review of the Literature 2409.3 Adoption and Challenges of Virtual Learning in Nigerian Universities 2449.4 Results and Analysis 2469.5 Conclusion 2529.6 Recommendations 25310 The Role of Virtual and Augmented Reality in Young Learners' Motivation in English Learning 259Mai Sri Lena10.1 Introduction 26010.2 Literature Review 26110.3 Objectives of the Research 26510.4 Research Questions 26610.5 Methodology 26610.6 Results and Discussion 26910.7 Limitations 27810.8 Educational Implications 27910.9 Conclusion 28011 Virtual Reality (VR) and Augmented Reality (AR) in Education 285J. Vijila, Godfrey Winster Sathianesan and Gnanavel S.11.1 Introduction 28611.2 Foundations of VR and AR 29111.3 Educational Theories and Frameworks 29611.4 Applications of VR in Education 29911.5 Applications of AR in Education 30111.6 Design and Development of VR/AR Educational Content 31211.7 Implementation and Integration 31411.8 Challenges and Barriers 31611.9 Future Trends and Innovations 31911.10 Conclusion 32312 Transformation of Reality to Virtuality: Collaboration in the Realm of Metaverse 327Jayashree Mahanti, Mazhar Shamsi Ansary, Ayush Mazumdar, Soma Saha and Sadat Ali Khan12.1 Introduction 32812.2 Review of the Related Literature 33012.3 Objectives of the Present Research 33212.4 Research Questions 33212.5 Methodology 33212.6 Discussion 33212.7 Conclusion 34713 The Use of Simulation and Gamification in Education: Transforming Learning for the 21st Century 355Tika Ram Pokhrel, Nara Hari Acharya and Rajendra Kuwar13.1 Background 35613.2 MDA Framework 35713.4 Levels of Gamification 36013.5 Simulated Gamification 36213.6 The Future of Simulation and Gamification in Education 36413.7 Conclusion 36514 Demystifying Ethical Issues and Concerns of Artificial Intelligence in Education Systems with Education 4.0: A Scientific Study 369P.K. Paul, K.L. Dangwal, Tatayya Bommali, Sanjukta Chakraborty, Mustafa Kayyali, Ujan Pradhan and S.K. Sharma14.1 Introduction 37014.2 Objectives of the Chapter 37214.3 Methodology 37214.4 Review of Existing Works 37314.5 AI and Knowledge Management: Context of the Education Sector 37514.6 AI, Allied Technology, and Education: Some Perspectives 38014.7 The Impact of AI in Education and Digital Learning: Understanding Knowledge Management 38214.8 Ethical Issues of AI in Education and Online and Digital Education 38614.9 Ethical and Future Use of AI in Student Assessment 39514.10 Issues and Challenges of AI in Traditional Education 39614.11 Education 4.0: Challenges and Ethical Considerations in AI Integration 40114.12 Core Findings, Suggestions, and Future Potentialities 40214.13 Concluding Remarks 40415 Ethical and Legal Challenges in Implementing Artificial Intelligence (AI) and Metaverse in Education 411Mujiono and Riza Weganofa15.1 Introduction 41215.2 Literature Review 41315.3 Methodology 41715.4 Results 41915.5 Discussion 42915.6 Conclusion 43116 Technical and Ethical Challenges in Integrating AI and the Metaverse in Education 437Papiya Upadhyay and Sudipta Karmakar16.1 Introduction 43816.2 Objectives of the Study 43916.3 Methodology 43916.4 The Concept of Artificial Intelligence 44016.5 The Expanding Scope of AI Applications 44116.6 The Role of AI in Education: Transforming Learning and Administration 44216.7 Future Prospects of AI 44616.8 The Metaverse: Transforming Digital Learning and Human Development 44616.9 Technological Integration and Future Development 44816.10 Worldwide Overview of E-Learning Ecosystem 44916.11 Technical Challenges of AI in Education 45016.12 Ethical Challenges of AI in Education 45716.13 Addressing the Challenges of AI Adoption 46316.14 Concluding Remarks 46517 Evaluating the Impact of AI and the Metaverse: Metrics, Costs, and Behavioral Outcomes 473Durgeshwary Kolhe and Arshad Bhat17.1 Introduction 47417.2 Review of Literature 47717.3 Key Metrics for Evaluating AI and Metaverse in Education 47717.4 Cost Evaluation: Economic Considerations of AI and the Metaverse 48117.5 Psychological and Behavioral Outcomes 48317.6 Neurodiversity and Inclusivity: Leveraging AI and Metaverse 48517.7 Gamification and Motivation in Virtual Learning 48717.8 Intergenerational Dynamics in Adopting AI and Metaverse 49017.9 Psychological Safety in Virtual Learning Environments 49217.10 AI and Metaverse Integration for Lifelong Learning 49317.11 Future Directions: Enhancing Impact Assessment 49417.12 Conclusion 49618 The Future of Education in the Digital Era 503A.B. Prabowo Kusumo Adi and Jumanto Jumanto18.1 Introduction 50418.2 Methodology: Elaborating on These Accounts 50818.3 Technological Drivers of Change in Education 51018.4 Student-Centered Learning in the Digital Age 51418.5 The Evolution of the Classroom 51818.6 Stakeholders in the Future of Education 52118.7 The Role of Education in Preparing for the Future Job Market 52518.8 Challenges and Barriers to the Future of Education 52918.9 What's Next: Results and Discussion 53218.10 Conclusion 53519 Redefining Learning in the Digital Era 539Ouafa Ouarniki and Houda Boumediene19.1 Introduction 54019.2 Review of Literature 54219.3 Methodology 54419.4 Results 54619.5 Discussion 55019.6 The Future of Education 55119.7 Practical Recommendations 55419.8 Conclusion 55519.9 Limitations of the Study 55620 Enhancing Quality Education through Artificial Intelligence: A Sustainable Approach toward Global Learning Challenges 559Subhankar Ghosh and Sekh Nur Hossain20.1 Introduction 56020.2 Artificial Intelligence: A Conceptual Framework 56020.3 AI in Education (AIED): Historical Evolution 56220.4 AIED and NEP-2020 56520.5 Transformative Role of AIED 56520.6 Sustainable Approach toward Global Learning Challenges 56820.7 Challenges and Ethical Considerations 57020.8 Future Directions for AIED 57220.9 Conclusion 574References 576Index 581