Advanced AI Technologies for Improving Education Systems
Description
AI is expected to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support initiatives and lifelong learning, but educational institutions and companies need to take changing technology into account. Moving towards AI supported by digital tools requires a major shift in the concept of learning, expertise, and its business applications.
The book explores the concepts of advancements in teaching and learning. It comprises the latest research on AI and how it is changing learning and education. The book focuses on the opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. It also deals with ethical challenges related to learning and education, while connecting human learning and machine learning. It will be of use to a range of readers, including researchers, AI users, companies, and policy makers.
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Person
Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India which he obtained in 2018. Currently, he is working as Assistant Professor, at National Forensic Sciences University, Gandhinagar, India. Prior to this he served as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.
Content
Preface.1. Revolutionizing Education: AI-driven Smart Facilities for Modern Schools. 2. Artificial Intelligence in the Development of Education Industry 4.0: A Systematic Review. 3. A New Era of Machine Intelligence in Education Industry: Towards a Sustainable Multifaceted Revolution. 4. Artificial Intelligence in Education Technologies: New Developments and Innovative Practices. 5. Future of AI-based Applications in Education Sector: Challenges and Scope. 6. Artificial Intelligence Techniques for Supporting Face-to-Face and Online Collaborative Learning. 7. AI-driven Collaborative Learning: Enhancing Group Dynamics, Participation, and Emotional Awareness in Hybrid Education. 8. Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings. 9. Edge AI for IoT in Education: A Smart School - An Advanced Research Study. 10. The Framework Design of Intelligent Assessment Tasks Recommendation System for Personalized Learning. 11. An Investigation of AI's Influence on Contemporary Pedagogy via Advanced Deep Learning and Sensor-driven Educational Institutions. 12. Roadmap of Artificial Intelligence in Education and Teaching for 5G-enabled Ecosystems: Challenges, Opportunities, and Solutions. 13. AI in Education Technologies: New Development and Innovative Practices. 14. Transforming Learning Environments: The Synergistic Roles of AI and 5G Technologies in Education. 15. Integrating Generative AI into the Curriculum and Learning Design. 16. A Comprehensive Review of Automated Learning Systems to Monitor the Pervasiveness of Musculoskeletal Pain Among Students in the Classroom.
