International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2020 Vol.10(5): 394-398
doi: 10.18178/ijiet.2020.10.5.1396

The Hotspots and Trends of Adaptive Learning: A Visualized Analysis Based on CiteSpace

Miaomiao Zhang , Rui Zhang

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.

Keywords

  • Adaptive learning
  • CiteSpace
  • co-word analysis
  • visual analysis
1396-EF3005

How to Cite

Copied

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. https://doi.org/10.18178/ijiet.2020.10.5.1396

Copyright & License

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).

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