Transforming education in the digital age: An analysis of artificial intelligence and deep learning through bibliometric and systematic literature review

The integration of Artificial Intelligence (AI) and Deep Learning (DL) into education is advancing rapidly, but their impact requires further research. This study combines bibliometric analysis and a systematic literature review, guided by the PRISMA framework, to explore this area. The bibliometric analysis examines publication trends, key countries, institutions, journals, leading authors, and important keywords, providing a macro-level overview. The literature review analyzes 27 high-quality academic articles, revealing that AI and DL have significant potential in education, such as personalized learning, real-time feedback, emotion prediction, and improving the overall learning experience. However, challenges like immature technology, high costs, limited human-computer interaction, data security, and ethical concerns remain. This study highlights both the vast potential and the hurdles of AI and DL in education, pointing to the need for continued research to overcome these issues and maximize their benefits in educational contexts.