Analysis of Chinese Learners’ Learning Behavior Patterns Based on Data Mining

DOI

10.2991/978-2-38476-384-9_41How to use a DOI?

Keywords

data mining; Chinese language learners; behavioral patterns; learning achievement prediction

Abstract

In order to deeply explore the influence of Chinese learners’ learning behavior patterns on learning outcomes, this study adopts data mining technology to extract typical learning behavior patterns through the collection, preprocessing and clustering analysis of a large amount of learners’ behavioral data, and constructs a prediction model of learning outcomes based on support vector machine. The analysis results show that high duration and high engagement learning behaviors are significantly and positively correlated with higher learning achievement levels, and the model shows high prediction accuracy and robustness on the test set.

Copyright

© 2025 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.

Download article (PDF)

TY  - CONF
AU  - Jin Jin
PY  - 2025
DA  - 2025/04/03
TI  - Analysis of Chinese Learners’ Learning Behavior Patterns Based on Data Mining
BT  - Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)
PB  - Atlantis Press
SP  - 354
EP  - 361
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-384-9_41
DO  - 10.2991/978-2-38476-384-9_41
ID  - Jin2025
ER  -