articleInternational Journal of Educational Technology in Higher EducationJan 19, 2024DIAMOND OA

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

MBMelissa BondHKHassan KhosraviMDMaarten de LaatNBNina BergdahlVNVioleta Negrea

University College London · University of Stavanger · +6 more institutions

Indexed incrossrefdatacitedoaj

Abstract

Abstract 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, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured…

Citation impact

513
total citations
FWCI
189.52
Percentile
100%
References
135
Citations per year

Authors

9

Topics & keywords

Topics
Keywords
  • Systematic review
  • Rigour
  • Higher education
  • Profiling (computer programming)
  • Scopus
  • Library science
  • Digital library
  • Sociology
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