Research Article
Design of Online Learning Efficiency Evaluation Algorithm for College English Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-031-28787-9_40, author={Hui Li}, title={Design of Online Learning Efficiency Evaluation Algorithm for College English Based on Data Mining}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I}, proceedings_a={ADHIP}, year={2023}, month={3}, keywords={Data mining College english Online learning Efficiency evaluation Evaluation algorithm}, doi={10.1007/978-3-031-28787-9_40} }- Hui Li
Year: 2023
Design of Online Learning Efficiency Evaluation Algorithm for College English Based on Data Mining
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_40
Abstract
The current learning efficiency evaluation algorithm has low accuracy and speed due to the singleness of the indicators and the neglect of the management of the indicators. To this end, this study designs an evaluation algorithm for college English online learning efficiency based on data mining. After analyzing the factors that affect the online English learning efficiency of college students, the evaluation indicators are abstracted and an evaluation system is established. Then use the analytic hierarchy process to determine the weight of the indicators in the evaluation system, and build a data warehouse according to the indicators. Finally, ES-ANN integrated sampling neural network is used to mine and analyze the data in the data warehouse, and the evaluation results of the students’ learning efficiency are obtained. The experimental results show that the evaluation rate of the algorithm is fast and the evaluation accuracy is higher than 93%, which proves that the method greatly improves the evaluation performance.
