A Study of MOOC Course Review Topics Mining Based on LDA Topic Model

Proceedings of the 3rd Africa-Asia Dialogue Network (AADN) International Conference on Advances in Business Management and Electronic Commerce Research Pub Date : 2021-11-26 DOI:10.1145/3503491.3503498

Xiao Yang-Cai, Wang Rui

{"title":"A Study of MOOC Course Review Topics Mining Based on LDA Topic Model","authors":"Xiao Yang-Cai, Wang Rui","doi":"10.1145/3503491.3503498","DOIUrl":null,"url":null,"abstract":"In order to dig deeper into the implied thematic information about online course review data on MOOC learning platforms and obtain the topic concerns of course learners in the process of participating in online courses, as a demand guide to improve the quality level of online classes. This study analyzes the course review data in the form of word cloud map for word frequency, and at the same time, uses LDA topic model for semantic analysis of online course review data to extract learners' topic concerns. The results show that learners focus on course content, lecture style, course discussion, learning resources, architecture, teacher quality, exercise explanation and sound effect in the learning process of MOOC online education platform . By mining online course review data for underlying themes, it is possible to understand learners' demand tendencies, which is meaningful and valuable for improving teaching quality.","PeriodicalId":165531,"journal":{"name":"Proceedings of the 3rd Africa-Asia Dialogue Network (AADN) International Conference on Advances in Business Management and Electronic Commerce Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd Africa-Asia Dialogue Network (AADN) International Conference on Advances in Business Management and Electronic Commerce Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3503491.3503498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

In order to dig deeper into the implied thematic information about online course review data on MOOC learning platforms and obtain the topic concerns of course learners in the process of participating in online courses, as a demand guide to improve the quality level of online classes. This study analyzes the course review data in the form of word cloud map for word frequency, and at the same time, uses LDA topic model for semantic analysis of online course review data to extract learners' topic concerns. The results show that learners focus on course content, lecture style, course discussion, learning resources, architecture, teacher quality, exercise explanation and sound effect in the learning process of MOOC online education platform . By mining online course review data for underlying themes, it is possible to understand learners' demand tendencies, which is meaningful and valuable for improving teaching quality.

查看原文本刊更多论文

基于LDA主题模型的MOOC课程复习主题挖掘研究

为了深入挖掘MOOC学习平台在线课程复习数据隐含的主题信息，获取课程学习者在参与在线课程过程中的主题关注点，作为提高在线课程质量水平的需求指南。本研究以词云图的形式对课程复习数据进行词频分析，同时利用LDA主题模型对在线课程复习数据进行语义分析，提取学习者的主题关注点。结果表明，学习者在MOOC在线教育平台的学习过程中，关注的重点是课程内容、授课风格、课程讨论、学习资源、架构、教师素质、习题讲解和音响效果。通过对在线课程复习数据的挖掘，挖掘潜在的主题，可以了解学习者的需求趋势，对提高教学质量具有重要意义和价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 3rd Africa-Asia Dialogue Network (AADN) International Conference on Advances in Business Management and Electronic Commerce Research

自引率

0.00%

发文量