Generative AI in education and research: A systematic mapping review

Abstract

Given 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.

Author(s)

Abdullahi Yusuf

Year

2024

Countries

Nigeria

Language

English

Research Method

Literature Review

Article Type

Peer-Reviewed Articles

Keywords

ICT in education | Primary education | Excel Import

Full Citation Style

Yusuf, A. (2024). Generative AI in education and research: A systematic mapping review. Strategic Research Journal. https://doi.org/10.1002/rev3.3489
Yusuf, A., 2024. Generative AI in education and research: A systematic mapping review. Strategic Research Journal. Available at: <https://doi.org/10.1002/rev3.3489>
Yusuf, A.. "Generative AI in education and research: A systematic mapping review." Strategic Research Journal (2024). https://doi.org/10.1002/rev3.3489
Yusuf A. Generative AI in education and research: A systematic mapping review. Strategic Research Journal. 2024; https://doi.org/10.1002/rev3.3489

Research Team

Abdullahi Yusuf

Abdullahi Yusuf

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