The advancement of Artificial Intelligence in Education: Insights from a 1976–2024 bibliometric analysis
Roshasfarizan Che Ghazali, Mohd Fadzil Abdul Hanid, Mohd Nihra Haruzuan Mohamad Said, Huan Yik Lee
Abstract
Artificial Intelligence (AI) is transforming the realm of education, offering unparalleled prospects for enhancing teaching and learning processes. This study aims to illuminate the current trends in AI within education by utilizing a bibliometric analysis approach. An extensive examination was conducted on AI-related academic works sourced from the Scopus database, spanning from 1976 to 2024. Focusing on the keywords “Artificial Intelligence in Education” and “Artificial Intelligence in Teaching and Learning,” a total of 1,063 publications were selected for analysis. Various analytical tools were employed, including biblioMagika® for frequency analysis, OpenRefine to clean and harmonize the authors’ keywords data, and VOSviewer for data visualization. The study utilized bibliometric indicators to present data on annual research trends, keyword trends, leading countries, prominent institutions, active publication venues, citation patterns, and authorship. Findings indicate significant growth in AI-related educational literature from 1976 to 2024, with the United States leading in contributions, closely followed by China. The results revealed a dynamic interplay between AI and education, emphasizing the potential of adaptive technologies and challenges, such as data privacy and the human element. It advocates for a balanced approach, integrating AI with core educational values.