Generative AI and Sustainability in Higher Education: Applications, Opportunities, and Challenges
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- Дата: 8-08-2026, 02:46
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Автор: Shrikaant Kulkarni, P. William, Firas Tayseer Ayasrah
Издательство: CRC Press
Год: 2027
Страниц: 216
Язык: английский
Формат: pdf (true), epub
Размер: 22.6 MB
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.
The rapid ascent of Generative Artificial Intelligence has created a moment of profound transformation, one that is reshaping how knowledge is produced, distributed, and applied across nearly every sector of society. Among the environments most immediately and deeply affected is higher education. Colleges and universities are no longer merely observers of technological change; they are laboratories, testbeds, and in many cases early adopters of generative AI tools that promise to redefine teaching, learning, research, and institutional operations. Yet, despite the excitement surrounding these innovations, there remains a crucial and often underexplored dimension: sustainability. How can Generative AI be harnessed not only to make higher education more efficient or personalized but also to support long-term environmental, economic, and social resilience? This book was born from a desire to address that question.
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 book is important to the field because it treats Generative AI not as a singular technological breakthrough but as part of a broader ecosystem that includes policy, pedagogy, infrastructure, workforce development, and global sustainability goals. It invites higher education leaders, researchers, instructors, instructional designers, IT professionals, and students to consider AI through a systems-thinking lens. Instead of isolating technological innovation from institutional values, it places them in conversation with one another. How can AI-supported analytics contribute to retention and equity? What does sustainable digital transformation look like? How can AI help universities reduce waste, optimize resource allocation, or expand access to underserved learners? What ethical frameworks and governance models are needed to ensure responsible use? These questions sit at the heart of the book.
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.
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