Mapping the Educational Revolution: A Bibliometric Analysis of ChatGPT's Impact on Teaching and Learning

This study provides a succinct overview of the research conducted on the impact of ChatGPT in education. A bibliometric analysis reveals a significant increase in research activity between November 2022 and April 2024. The study identified and analysed the most relevant papers from this period, focusing on 745 relevant studies sourced from the Scopus database. Key findings include the model's contribution to enhancing learner engagement and optimising knowledge acquisition through personalised learning. The study also examines the influence of ChatGPT on curriculum design, assessment strategies, and the emergence of AI-powered educational tools, such as intelligent tutoring systems and chatbots. While highlighting the transformative potential of ChatGPT in education, ethical considerations are acknowledged, including concerns about assessment value reduction, data privacy, and algorithmic bias. Responsible AI integration is emphasised for a balanced and ethical use in learning environments. The bibliometric analysis identifies prominent authors, countries, and subject areas contributing to the field. Kleebayoon, emerges as a prolific contributor, and the United States leads in citations. Co-word and co-citation analyses reveal clusters of keywords and authors, illustrating interconnected themes and relationships in the literature. The study underscores ChatGPT's transformative potential in education, quantifies research trends through bibliometric analysis, and emphasises the importance of responsible AI integration and addressing ethical considerations in the evolving educational landscape.