Generative AI in education and research: A systematic mapping review

Author:

Yusuf Abdullahi1ORCID,Pervin Nasrin2ORCID,Román‐González Marcos3ORCID,Noor Norah Md4ORCID

Affiliation:

1. Department of Science Education Sokoto State University Sokoto Nigeria

2. Department of English and Modern Languages North South University Dhaka Bangladesh

3. Faculty of Education Universidad Nacional de Educación a Distancia Madrid Spain

4. School of Education, Faculty of Social Science and Humanities Universiti Teknologi Malaysia Johor Bahru Malaysia

Abstract

AbstractGiven the potential applications of generative AI (GenAI) in education and its rising interest in research, this systematic review mapped the thematic landscape of 407 publications indexed in the Web of Science, ScienceDirect and Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas and applications of GenAI were extracted. Eight discursive themes were identified, predominantly focused on ‘application, impact and potential’, ‘ethical implication and risks’, ‘perspectives and experiences’, ‘institutional and individual adoption’, and ‘performance and intelligence’. GenAI was conceptualised as a tool for ‘pedagogical enhancement’, ‘specialised training and practices’, ‘writing assistance and productivity’, ‘professional skills and development’, and as an ‘interdisciplinary learning tool’. Key gaps highlighted include a paucity of research and discussions on GenAI in K‐12 education; a limited exploration of GenAI's impact using experimental procedures; and a limited exploration of the potential and ethical concerns of GenAI from the lens of cultural dimensions. Promising opportunities for future research are highlighted.

Publisher

Wiley

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