Research Article
Analysis and Countermeasures of College Students' English Online Learning Behavior Data Based on Data Mining Technology
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343635, author={Mei Zhao}, title={Analysis and Countermeasures of College Students' English Online Learning Behavior Data Based on Data Mining Technology}, proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={ITEI}, year={2024}, month={4}, keywords={data mining; english; online learning; learning behavior data; analysis model}, doi={10.4108/eai.24-11-2023.2343635} }- Mei Zhao
Year: 2024
Analysis and Countermeasures of College Students' English Online Learning Behavior Data Based on Data Mining Technology
ITEI
EAI
DOI: 10.4108/eai.24-11-2023.2343635
Abstract
With the deepening of educational informatization, online learning methods are rapidly emerging and gradually applied in the field of higher education. Although online learning has practical advantages such as convenience, interactivity and timeliness, it also has some shortcomings such as separation of teachers and students and lagging teaching supervision and management. In this regard, based on the current teaching situation of English majors in colleges and universities, this paper will build an online learning behavior index system and analysis framework, summarize the characteristics of students' behavior, and put forward suggestions for improvement on the subsequent curriculum teaching plan.
Copyright © 2023–2024 EAI
