Artificial Intelligence in Personalised Learning: A Bibliometric Analysis
Abstract
Purpose: This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices. Design/methodology/approach: A bibliometric analysis was conducted to cover publications on AI in personalised learning published from 2000 to 2022, including a total of 1,005 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analysed. Findings: Research on AI in personalised learning has been widely published in various sources. The intellectual bases of related work were mostly on studies on the application of AI technologies in education and personalised learning. The relevant research covered mainly AI technologies and techniques, as well as the design and development of AI systems to support personalised learning. The emerging topics have addressed areas such as big data, learning analytics and deep learning. Originality/value: This study depicted the research hotspots of personalisation in learning with the support of AI and illustrated the evolution and emerging trends in the field. The results highlight its latest developments and the need for future work on diverse means to support personalised learning with AI, the pedagogical issues, as well as teachers’ roles and teaching strategies.
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Personalised learning approaches lead to improved student engagement, better understanding of material, and enhanced academic performance.
“The use of personalised learning approaches leads to improved student engagement, better understanding of the material, and enhanced academic performance [26, 30–33].”
From Generative AI in Higher Education: Balancing Innovation and Integrity (2025) · cites this paper as [30]
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- Authors
- Li, K. C., & Wong, B. T.-M.
- Affiliations
- Hong Kong Metropolitan University (HK)
- Venue
- Interactive Technology and Smart Education
- Publisher
- Emerald
- Published
- 2023-05-26
- Volume
- 20
- Issue
- 3
- Pages
- 422-445
- ISSN
- 1741-5659 (ISSN-L)
- OpenAlex
- W4378231370
- Cited by
- 88
- References
- 75
- Citations by year
- 2026: 33 · 2025: 31 · 2024: 23 · 2023: 1
- FWCI
- 20.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interactive Technology and Smart Education (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- artificial intelligence in education, personalized learning, research trends, learning analytics, big data in education, deep learning, AI system design, research hotspots, teacher role, pedagogy
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