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The Educational Review, USA

ISSN Print: 2575-7938 Downloads: 1067667 Total View: 9486399
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Email: edu@hillpublisher.com Citations: 842
ArticleOpen Access http://dx.doi.org/10.26855/er.2023.05.021

Application Analysis of Data Mining Technology in College English Online Learning Platform

Juan Chen

Sichuan Vocational and Technical College, Suining, Sichuan, China.

*Corresponding author: Juan Chen

Published: July 6,2023

Abstract

In order to solve the shortcomings of the existing college English online learning platform research, we use data mining related technologies to analyze students' learning tendency, learning achievements and learning content organization in online learning platform, and optimize teachers' teaching mode and teaching effect analysis. This paper discusses the design principles and data mining technologies of the college English online learning platform, and then briefly discusses the data collection, preprocessing and data sources of the application of data clustering and association rules in the platform. By using data clustering and association rules to analyze learner clustering and learning content association, it is found that different students have high, low and medium levels in English listening, speaking, reading and writing, and some students have English scores above 65. The results of correlation analysis are used to recommend the content of students' English sections and predict their scores.

Keywords

Data Mining Technology, Cluster Analysis, College English, Online Learning Platform

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How to cite this paper

Application Analysis of Data Mining Technology in College English Online Learning Platform

How to cite this paper: Juan Chen. (2023). Application Analysis of Data Mining Technology in College English Online Learning Platform. The Educational Review, USA7(5), 652-658.

DOI: http://dx.doi.org/10.26855/er.2023.05.021