Generative AI and Sustainability in Higher Education

Applications, Opportunities, and Challenges
1. Auflage 2026
ISBN: 978-1-041-00632-9
Verlag: Taylor & Francis

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Higher Education and Sustainability

The integration of generative AI into higher education presents a unique opportunity to enhance sustainability. AI-driven solutions can optimize resources and processes and provide tools to tap the potential of generative AI in creating more personalized, efficient, and sustainable educational environments. This book discusses the role of Generative AI in higher education and provides a clear vision on how to integrate AI technology within the framework of sustainability. It balances theoretical insights with practical applications and ethical considerations. Readers will learn how to navigate the ethical and social implications, understand sustainability initiatives, and foresee future trends.

Features

- Provides a holistic explanation of complex AI concepts for readers without technical backgrounds.

- Includes detailed real world case studies and practical examples showcasing generative AI's impact on education.

- Incorporates sustainability and highlights eco-friendly approaches and sustainable practices in educational settings.

- Offers insights into the ethical considerations and responsible use of AI in education.

- Forecasts future trends and advancements, helping educators stay ahead in the fast-evolving educational landscape.  This is an excellent resource for everyone interested in implementing AI technologies in higher education to enhance students’ learning experience and outcomes, and for all readers who are interested in the latest trends and applications of AI in higher education.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Kulkarni, Shrikaant

William, P.

Ayasrah, Firas Tayseer

Fachgebiete

• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen

Inhaltsverzeichnis

1. Bridging Education and Industry: Ethical Implications and Opportunities of Generative AI. 2. Generative AI in Higher Education: Advancing Pedagogical Innovation and Addressing Emerging Challenges. 3. Transforming Curriculum Development in Higher Education: The Role of Generative AI. 4. Emerging Markets Research: Charting Future Directions Amid Global Challenges. 5. Fostering Critical Feedback and Evaluation Competencies in Students with Generative AI. 6. Innovative Applications of Generative AI in Career Planning for Vocational Education. 7. Exploring Chatgpt’s Potential for Professional Development in Higher Education Contexts. 8. AI-Driven Hiring Practices: Student Perceptions, Ethical Dilemmas, and Workforce Implications. 9. Safeguarding Student Privacy in AI-Driven Educational Ecosystems: Ethical Perspectives. 10. AI and Data Privacy: Analysing Ethical Impacts in Secondary Education in India. 11. Sustainable Lifelong Learning: Leveraging AI to Redefine Pedagogical Approaches. 12. Sustainability in Campus Operations: Data-Driven Evaluation of College Initiatives. 13. Designing Comprehensive Environmental Sustainability: Frameworks for Higher Education. 14. Ethical And Privacy Challenges in Artificial Intelligence: Implications for Education. 15. Equity, Transparency, and Privacy in AI-Enhanced Education: An Ethical Analysis.

Über Autor(innen)

Dr. Shrikaant Kulkarni is a research Professor at Sanjivani University, India, an adjunct professor at the Victorian Institute of Technology, Melbourne, Australia, and Lincoln University College, Malaysia. Dr. Kulkarni has been a senior academician and researcher for four decades. He has over 100 research publications to his credit in national and international journals and he has authored over 100+ book chapters and has edited 60+ edited books published by reputable publishers. He has expertise in materials science, green chemistry and engineering, analytical chemistry, green nanoscience, nanotechnology, and AI. He was invited by the United Nations to deliver a talk on Green Chemistry education for sustainable development at the International Conference in Green Chemistry held in Bangkok, Thailand.

Dr. P. William has made significant contributions in the field of Artificial Intelligence, alongside a distinguished career in academia and research. He has played a pivotal role in shaping discourse and advancements in AI research as a member of IEEE, QCFI, ISTE and other esteemed professional bodies, underscoring his standing in the global AI research community. He has contributed substantially to advancing technological innovations in AI and related fields focused on research areas based on Artificial Intelligence with Natural Language Processing, Deep Learning, Machine Learning, Soft Computing, Cyber Security, and Cloud Computing. He has published many papers in Scopus indexed journals and conference proceedings.

Dr. Firas Tayseer Ayasrah is an Associate Professor of Information and Communication Technology in Education (ICT in Education) / Educational Technology at Al Ain University, United Arab Emirates. He has over 10 years of academic and research experience across universities in Jordan, Saudi Arabia, and Malaysia, where he has taught both undergraduate and graduate students. His research and teaching interests focus on innovative areas in educational technology, including educational platforms, digital learning environments, virtual and augmented reality, and artificial intelligence in education, as well as the challenges associated with their integration in educational settings. He has published numerous research papers in the field of educational technology in prominent SCOPUS-indexed journals, including studies specializing in the application of artificial intelligence to enhance teaching and learning processes.