000			01950nam a22002057a 4500
008			241210b |||||||| |||| 00| 0 eng d
020			_a9781032576145
082			_a006.3 _bCRO
245			_aArtificial intelligence applications in higher education: _btheories, ethics, and case studies for universities
260			_aNew York _bRoutledge _c2025
300			_axviii, 339p. _bpbk.
500			_ahttps://www.routledge.com/Artificial-Intelligence-Applications-in-Higher-Education-Theories-Ethics-and-Case-Studies-for-Universities/Crompton-Burke/p/book/9781032576145?srsltid=AfmBOorHEWq3QccYXl2Y29YQUePi4JfJgnYtLrK13hAiKry7QfH4aHQD
520			_aArtificial 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.
650			_aArtificial Intelligence
650			_aAI Applications in Higher Education _912591
650			_aAI Ethics _912592
700			_aCrompton, Helen (Editor) _912593
700			_aBurke, Diane (Editor) _912594
942			_cBK
999			_c10978 _d10978