Generative AI and Sustainability in Higher Education

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 into 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 of 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.

Dr. Shrikaant Kulkarni is a research professor at Sanjivani University, India, and 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 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 assistant professor of educational technology at Al-Ain University in the UAE. He has over 10 years of academic and research experience from Jordanian, Saudi, and Malaysian universities teaching undergraduate and graduate students. He has also extensive experience in modern topics in educational technology such as educational platforms, digital learning environments, virtual and augmented reality, and their challenges. He has published many research papers in the field of educational technology in different SCOPUS-indexed journals.