Research Article
Research on Collaborative Learning Behavior Recognition of Online Education Platform Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-031-21161-4_19, author={Zhi Zhang}, title={Research on Collaborative Learning Behavior Recognition of Online Education Platform Based on Data Mining}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Online education platform Collaborative learning Learning motivation Behavior identification Learning activities Interactive links}, doi={10.1007/978-3-031-21161-4_19} }- Zhi Zhang
Year: 2023
Research on Collaborative Learning Behavior Recognition of Online Education Platform Based on Data Mining
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_19
Abstract
The time sequence information of traditional online education platform collaborative learning behavior recognition method is not comprehensive, resulting in low recognition rate. Therefore, a collaborative learning behavior recognition method of online education platform based on data mining is designed. Monitor the learning behavior through the progress management function, identify the educational characteristics of learners, obtain the timing information of the online education platform, and feed back the information to teachers and students in a visual way, optimize the interactive links of collaborative learning, meet the personalized requirements of learners, investigate the basic database of student scores by using rough set theory, and mine data from the database. In order to identify the collaborative learning behavior of online education platform. Experimental results: the average recognition rates of the online education platform collaborative learning behavior recognition method and the other two recognition methods are 68.142%, 56.310% and 57.988%, which proves that the online education platform collaborative learning behavior recognition method integrated with data mining technology is more reliable.
