Artificial Intelligence Applications in Higher Education: Theories, Ethics, and Case Studies for Universities
by: Helen Crompton (Editor),Diane Burke (Editor)
Publisher: Routledge
Edition: 1st
Publication Date: 2024/10/31
Language: English
Print Length: 340 pages
ISBN-10: 1032576146
ISBN-13: 9781032576145
Book Description
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 leaing, institutional administration, student data management, and beyond. Its collected case studies fuish actionable insights into enhancing academic institutions and addressing diverse leaing 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 leaing, intelligent tutoring systems, chatbots, predictive technologies, remote leaing, and more.
About the Author
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 leaing, institutional administration, student data management, and beyond. Its collected case studies fuish actionable insights into enhancing academic institutions and addressing diverse leaing 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 leaing, intelligent tutoring systems, chatbots, predictive technologies, remote leaing, and more.