A Study on the Dynamic Characteristics of Willingness to Communicate—Student Clustering Analysis Based on EM Algorithm
- DOI
- 10.2991/978-94-6463-238-5_18How to use a DOI?
- Keywords
- Complicated Dynamical systems theory (CDST); Characteristics of willingness to communicate; Em Algorithm; cluster analysis(CA)
- Abstract
Based on the complex dynamical systems theory, this study used the EM iterative algorithm in order to study the willingness to communicate of second language learners from a dynamic perspective. The students are assigned to a certain cluster according to the characteristics of their willingness to communicate and the representative categories of their willingness to communicate are classified. Then the cluster analysis is carried out. The results show that the diversity of different groups’ willingness to communicate is obvious, showing a dynamic development, and has a high correlation with the level of oral proficiency. The research has certain guiding significance for seeking the countermeasure to promote the willingne to communicate, deepening the research of Oral English teaching and improving the language teaching method.
- Copyright
- © 2024 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 - Liang Gu AU - Jie Wang PY - 2023 DA - 2023/09/26 TI - A Study on the Dynamic Characteristics of Willingness to Communicate—Student Clustering Analysis Based on EM Algorithm BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 138 EP - 143 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_18 DO - 10.2991/978-94-6463-238-5_18 ID - Gu2023 ER -