Research on the Application of Clustering Algorithm in the Analysis of College English Achievement

DOI

10.2991/978-94-6463-417-4_36How to use a DOI?

Keywords

k-means; clustering algorithm; College English Achievement; Big data

Abstract

With the rapid development of educational informatization, teachers in colleges and universities are paying more attention to make use of big data technology in the field of education. It is worthwhile for teachers to take advantage of K-means clustering algorithm in College English achievement data analysis to process and analyze their students’ college English performance, integrating and classifying the performance data of different types to have a more comprehensive understanding of students’ achievement and progress in English learning. The experimental results show that K-means clustering algorithm are of great significance in data analysis and decision-making in college English teaching which can effectively identify different types of students’ College English achievement distribution, and reveal the characteristics and trends of each college English achievement type. Through analyzing different types of scores, teachers will have a more comprehensive understanding of students’ performance and progress in college English learning, and valuable reference information can be provided for them to reform their teaching models and develop more personalized teaching strategies based on the K-means clustering analysis of students’ College English achievement evaluation results, which is conducive to improving the quality and the effectiveness of College English teaching.

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.

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TY  - CONF
AU  - Xiaoling Cao
PY  - 2024
DA  - 2024/05/07
TI  - Research on the Application of Clustering Algorithm in the Analysis of College English Achievement
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 393
EP  - 401
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_36
DO  - 10.2991/978-94-6463-417-4_36
ID  - Cao2024
ER  -