Research Article
Research on English Distance Education Web Resource Management System Based on Data Mining Technology
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329176, author={Jie Song}, title={Research on English Distance Education Web Resource Management System Based on Data Mining Technology}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={data mining techniques english distance education web resources resource management}, doi={10.4108/eai.23-12-2022.2329176} }- Jie Song
Year: 2023
Research on English Distance Education Web Resource Management System Based on Data Mining Technology
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329176
Abstract
In recent years, with the wide application and popularity of education informatization, the importance of EDERs as a content carrier for learning and teaching has become increasingly prominent, and the contradiction between users' demand and supply of high-quality EDERs has become more and more prominent. How to optimize the allocation of EDERs? How to provide users with quality resource services? It has become an important problem that needs to be solved in current education informatization. The main purpose of this paper is to investigate the English DE network resource management system based on DM technology. The purpose of this paper is to examine and explore the CS of EDER allocation and service, reveal the existing problems, and propose optimized countermeasures for EDER allocation and service from the perspective of users' needs and taking English DE platform as the research object. Due to the lack of online teaching resources, students cannot receive high-quality services anytime and anywhere and a great waste effect is produced. Therefore, online tutoring is a major direction for the current development of English education. In this paper, we investigate in the aspects that mining potential variables in online resources and enriching data processing capabilities can improve utilization efficiency and teaching quality.