Kumar Tyagi | Advanced AI Technologies for Improving Education Systems | Buch | 978-1-041-07061-0 | www.sack.de

Buch, Englisch, 346 Seiten, Format (B × H): 156 mm x 234 mm

Kumar Tyagi

Advanced AI Technologies for Improving Education Systems


1. Auflage 2026
ISBN: 978-1-041-07061-0
Verlag: Taylor & Francis

Buch, Englisch, 346 Seiten, Format (B × H): 156 mm x 234 mm

ISBN: 978-1-041-07061-0
Verlag: Taylor & Francis


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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Zielgruppe


Academic, General, Postgraduate, Professional Practice & Development, Professional Reference, Undergraduate Advanced, and Undergraduate Core


Autoren/Hrsg.


Weitere Infos & Material


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.


Amit Kumar Tyagi has a B Tech in Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India (2009), and M Tech and PhD in Computer Science and Engineering from Pondicherry University in 2012 and 2018 respectively. He has served in academia since 2019, and is working in Department of Fashion Technology, National Institute of Fashion Technology (NIFT), New Delhi, 110016, Delhi, India since 2022. He e He HE has contributed to several projects such as “AARIN” (https://doi.org/10.1016/j.ijin.2021.09.007) and “P3- Block” (https://doi.org/10.1007/978-3-030-58817-5_56) to address some of the open issues related to the privacy breaches in Medical Cyber Physical Systems (MCPS) and Vehicular Applications (such as Parking, Toll Plaza, etc.) and he is currently working on Project “IndiaSize”, Funded by Ministry of Textiles, Government of India. He has published 6 books so far with reputed publishers and has several more in the pipeline. His research interests include Smart and Secure Computing, Network and Information Security, Privacy, and Trust in Autonomous Vehicles.



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