The digital transformation of higher education institutions has accelerated in the last decade due to the confluent development of digital technologies. Understanding how artificial intelligence-enabled changes and improvements in universities in relation to teaching, management, sustainability, and research allows researchers to understand the advances and identify the challenges that may arise. This knowledge provides technological instruments as well as cognitive, philosophical, and epistemological tools to address different current issues.
Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions offers both empirical and theoretical information focused on artificial intelligence and its various applications in higher education institutions. It includes research results, authoritative overview articles, high quality analysis on trends, comparative studies, and analysis of cases that focus on issues including ethical issues and risks for applying AI in higher education, policies to introduce AI in curricula, and applications in teaching and learning. Covering topics such as artificial intelligence ethics, energy efficiency, and postsecondary administrative leadership, this premier reference source is an essential resource for computer scientists, AI scientists, administration of higher education institutions, educators and faculty of higher education, pre-service teachers, researchers, IT professionals, and academicians.
Beyond the chatbot: how are universities using al nowadays?
Daniele Maria Vieira do Nascimento, Jaime Roser Chinchilla, Bosen Lily Liu, Clarisa Yerovi, Diana Morales
págs. 1-22
págs. 23-47
Let's talk about artificial intelligence: how scholarship of teaching and learning can enhance the ai scientific discourse in higher education
págs. 48-72
Postsecondary administrative leadership and educational al: an ethical shared approach
págs. 73-100
From principles to processes: lessons for higher education from the development of al ethics
págs. 101-125
How is socially responsible academic performance prediction possible?: Insights from a concept of perceived al fairness
págs. 126-155
Artificial intelligence as a general resource for all professions: towards a higher education pedagogy framework
págs. 156-180
María Ángeles Pérez Juárez, Javier M. Aguiar Pérez, Miguel Alonso Felipe, Javier del Pozo Velázquez, Saúl Rozada Raneros, Mikel Barrio Conde
págs. 181-205
Intelligent learning management systems: overview and application in mathematics education
págs. 206-232
págs. 233-258
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