Construction of General Development Model of Learning Analytics--Data Visualization Analysis Based on Citespace
- DOI
- 10.2991/978-94-6463-040-4_104How to use a DOI?
- Keywords
- Learning Analytics; Citespace; Visual analysis; Knowledge map; Development model
- Abstract
With the development of educational informatization, a lot of data has become an important basis for researchers to discover the learning law of learners. Therefore, Learning Analytics (LA) emerged. It has become an important tool and starting point for researchers to know the students’ learning process in education. However, researchers have not conducted in-depth research on the development and evolution law of LA. The study makes a visual analysis of the literature about LA from 2011 to 2022 by using Citespace software. Firstly, according to the cluster map and co-occurrence map of key words, the research hot spots are summarized in LA. According to the time zone map and the number of articles published, four development stages of LA are summarized. Secondly, according to the research hotspots and development stages, the internal development logic of LA is deduced. Thirdly, the general model of LA development is constructed. Finally, the author summarized and looked forward to the development direction of LA in the future.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lingyan Liu AU - Bo Zhao AU - Yan Li AU - Handong Wang PY - 2022 DA - 2022/12/27 TI - Construction of General Development Model of Learning Analytics--Data Visualization Analysis Based on Citespace BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 683 EP - 689 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_104 DO - 10.2991/978-94-6463-040-4_104 ID - Liu2022 ER -