Manuscript received February 14, 2023; revised March 27, 2023; accepted May 29, 2023.
Abstract—This paper has analyzed research trends on
personalized learning by bibliometric analysis method through
a study of 928 articles from the Scopus database. The following
issues are investigated: (1) Development scale, growth
trajectory and geographical distribution of the research; (2)
Outstanding authors and works on Personalized Learning; (3)
Outstanding magazines and books on the topic; (4) Key themes
found in these documents, and (5) Prominent
methods/technologies used for personalized learning. Research
results show that personalized learning is a fascinating topic in
education and has been overgrown in recent years. Many
researches on personalized learning comes from countries such
as the United States and China. Our bibliometric analysis has
revealed the main themes in the research works on
Personalized Learning, such as artificial intelligence, learning
style, and learning technology. The research has observed
cognitive aspects of learners like knowledge level, learning style,
preferences, etc. In most cases, the recommended tools and
methods combined the content-based filtering, collaborative
filtering, ontological approaches, etc. In addition, future
research goals, difficulties, and concerns are highlighted in our
work by examining the trends in several personalized learning
elements.
Index Terms—Personalization, personalized learning,
learning technology, bibliometric analysis
Hoa-Huy Nguyen is with Center for Education Accreditation, Viet Nam
National University (VNU-CEA), Hanoi, Vietnam.
Viet Anh Nguyen is with University of Engineering and Technology,
Vietnam National University (VNU-UET), Hanoi, Vietnam. Email:
vietanh@vnu.edu.vn (V.A.N.)
*Correspondence: huynguyen@vnu.edu.vn (H.H.N.)
Cite: Hoa-Huy Nguyen* and Viet Anh Nguyen, "Personalized Learning in the Online Learning from 2011 to 2021: A Bibliometric Analysis," International Journal of Information and Education Technology vol. 13, no. 8, pp. 1261-1272, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).