The Impact of AI on Education: A Dual Approach of Systematic Review and Bibliometric Mapping

Anip Febtriko; Syafrijon

doi:10.59934/jaiea.v4i3.1105

Authors

Anip Febtriko Universitas Putra Indonesia YPTK Padang
Syafrijon Universitas Negeri Padang

DOI:

https://doi.org/10.59934/jaiea.v4i3.1105

Keywords:

Artificial Intelligence Education, Bibliometric Analysis, Curriculum Design, Systematic Review, Technology Integration

Abstract

This study aims to analyze the development of literature on Artificial Intelligence Education through a systematic review and bibliometric mapping approach. The method used involves screening articles from the Scopus database with the keywords "artificial intelligence AND education", resulting in 111 selected articles. The analysis was carried out using the PRISMA protocol and VOSviewer visualization to identify publication trends, geographical distribution, institutional affiliation, and keyword relevance. The results showed a significant increase in the number of publications over the past decade, with contributions from China, South Korea, and the United States dominating. Higher education institutions in Finland and Hong Kong were also recorded as active in publications. Frequently emerging topics include AI literacy, curriculum design, the role of teachers and students, and computational thinking. This study found that Artificial Intelligence Education not only includes learning about AI, but also the use of AI as a learning tool. The conclusion of this study emphasizes that the integration of AI in education is a systemic transformation that requires a multidisciplinary approach, competency-based learning, and strong ethical policies to support the development of inclusive and adaptive 21st century education.

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