The Role of Artificial Intelligence in Advancing Education and Scientific Research: A Cross-Disciplinary Bibliometric Review
Zatman Payung1, Yaya Sukjaya Kusumah2, Endang Cahya Mulyaning3, Bambang Avip4

Universitas Pendidikan Indonesia

Abstract

This study aims to analyze the role of artificial intelligence (AI) in advancing scientific education and research through a cross-disciplinary bibliometric approach. The method used is bibliometric analysis to map the development and dynamics of AI-related research in the field of education and scientific research using data obtained from Scopus. The results show that AI has changed the paradigm of education by enabling more personalized and adaptive learning and improving the efficiency of scientific research by accelerating big data analysis and scientific discovery. Cross-disciplinary collaboration is proving to be key to maximizing the potential of AI involving various fields such as computer science, pedagogy, and psychology. Recent research trends lead to topics such as generative AI, AI ethics, as well as the application of AI in education and health. The conclusion that AI has great potential in supporting sustainable development, particularly in improving the quality of education and scientific research, with the importance of bibliometrics to understand global research patterns that encourage cross-disciplinary collaboration

Keywords: artificial intelligence, education, scientific research, cross-disciplinary collaboration, bibliometrics

Topic: Mathematics and Mathematics Education