Building bridges to the future of learning: Exploring artificial intelligence research using R-Studio assisted bibliometrics

Abstract

Artificial intelligence (AI) has transformed education by enhancing personalization and learning efficiency. However, the application of AI in addressing its challenges and potential remains suboptimal. This study aims to provide a bibliometric analysis of AI in Education research, focusing on publications from 2017 to 2023 sourced from Scopus-indexed journals. Using R-Studio-assisted bibliometrics, the study uses descriptive analysis and co-authorship to explore publication trends, citation patterns, affiliations, institutions, and collaboration networks. Analyzing 161 documents, the study identifies key trends and growth areas of AI-based learning. The findings of this study indicate an increase in AI in learning research publications, especially in 2022 and 2023. The findings also show that developed countries such as the United States, China, and the United Kingdom dominate AI research in education. Their contributions include technology development and international research collaboration. Then, this study offers insight into the global research landscape of AI in education by highlighting areas that require further exploration to optimize the function and role of AI in enhancing the learning process. In addition, challenges regarding the impact of AI on cognitive, affective, and psychomotor domains need to be identified in further research to ensure effective integration in the context of educational sustainability.

Keywords

• Artificial intelligence (AI)
• bibliometrix
• learning transformation
• potential
• R-Studio
• Sustainability Education, Training and Leadership