Artificial intelligence applications in higher education: theories, ethics, and case studies for universities

Contributor(s):

Material type: Text

TextPublication details: New York Routledge 2025Description: xviii, 339p. pbkISBN:

9781032576145

Subject(s):

DDC classification:

006.3 CRO

Summary: Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	006.3 CRO (Browse shelf(Opens below))	Checked out	11/06/2025	005201
Book	Plaksha University Library	Computer science	006.3 CRO (Browse shelf(Opens below))	Checked out	08/07/2025	005202

https://www.routledge.com/Artificial-Intelligence-Applications-in-Higher-Education-Theories-Ethics-and-Case-Studies-for-Universities/Crompton-Burke/p/book/9781032576145?srsltid=AfmBOorHEWq3QccYXl2Y29YQUePi4JfJgnYtLrK13hAiKry7QfH4aHQD

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

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