Visualizing Trends in Chat Generative Pretrained Transformer Research in Higher Education: Early-Stage Bibliometric Analysis

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Muhammad Aizri Fadillah, Muhammad Husin, Usmeldi Usmeldi, Asrizal Asrizal

2026 International Journal of Educational Reform Article Cited by 0

Abstract

The rapid emergence of chat generative pretrained transformer (ChatGPT) has attracted considerable attention in higher education (HE), yet its research development remains insufficiently understood. This study provides an early-stage bibliometric analysis of 140 Scopus-indexed articles to map research trends in this field. The results show a sharp increase in publications, with China, the United States, and the United Kingdom as the leading contributors. Co-occurrence analysis identified three major themes: educational applications, learner interactions, and technological dimensions. Overlay visualization revealed emerging topics such as intention, relationship, and social influence, indicating a growing focus on adoption and behavioral aspects of ChatGPT in HE. © The Author(s) 2026

Affiliations

Department of Science Education, Universitas Negeri Padang, Padang, Indonesia; Department of Electronics Engineering, Universitas Negeri Padang, Padang, Indonesia; Department of Electrical Engineering, Universitas Negeri Padang, Padang, Indonesia; Department of Physics Education, Universitas Negeri Padang, Padang, Indonesia