Abstract—Using the visual analysis of CiteSpace, and
adopting the visual analysis and content analysis as main
research methods, research on hot spots and development
trends of adaptive learning were revealed. The literatures were
collected from 2000 to 2018. The study of adaptive learning
technology in foreign countries focus on higher education, and it
is suggested to expand the scope of the research. The application
of adaptive learning technology in education should be
strengthened in China. The updating and integration of
learning style scale should be considered and the open learner
model is a new trend in future. In order to achieve the sharing
of resources and domain models or the reusability and
portability of the system, unified standards should be
established. In addition, we should pay attention to the
application of learning science theory closely related to adaptive
learning. Adaptive personalized support service with big data,
artificial intelligence, context recognition and emotion capture
are a new trend in this field.
Index Terms—Adaptive learning, CiteSpace, co-word analysis, visual analysis.
Miaomiao Zhang is with the School of Education Information Technology, Capital Normal University, Wuhan, China (e-mail: firstname.lastname@example.org).
Rui Zhang is with the Educational Information Technology Collaborative Innovation, Center Capital Normal University, Wuhan, China (e-mail: email@example.com).
Cite: Miaomiao Zhang and Rui Zhang, "The Hotspots and Trends of Adaptive Learning: A Visualized Analysis Based on CiteSpace," International Journal of Information and Education Technology vol. 10, no. 5, pp. 394-398, 2020.Copyright © 2020 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).