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Transforming Education in the Digital Age: An Analysis of Artificial Intelligence and Deep Learning Through Bibliometric and Systematic Literature Review
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Author(s): Qi Pan (University Technology Malaysia, Malaysia), Nurul Farhana Jumaat (Independent Researcher, Malaysia), Hassan Abuhassna (Independent Researcher, Malaysia)and Liu Tao (Zaozhuang University, China)
Copyright: 2026
Pages: 30
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch004
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Abstract
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.
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