A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

• Published in: International Journal of Educational Technology in Higher Education Vol. 21; no. 1; pp. 4 - 41
• Main Authors: Bond, Melissa, Khosravi, Hassan, De Laat, Maarten, Bergdahl, Nina, Negrea, Violeta, Oxley, Emily, Pham, Phuong, Chong, Sin Wang, Siemens, George
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2024; Springer Nature B.V; SpringerOpen
• Subjects: Adaptive systems; AIEd; Artificial Intelligence; Automatic assessment; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Continuing education; Digital systems; Educational Technology; Ethics; Evidence synthesis; Higher Education; Humanities; Information Systems Applications (incl.Internet); Intelligent tutoring systems; Interdisciplinary Approach; Law; LEADS; New advances in artificial intelligence applications in higher education; Personalisation; Prediction; Quality assessment; Research methods; Review Article; Statistics for Social Sciences; Tertiary review; Tertiary review; Adaptive systems; Artificial Intelligence; Intelligent tutoring systems; Prediction; Automatic assessment; AI; AIEd; Quality assessment; Evidence synthesis; Personalisation; Research methods

Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education,...