Research on factors influencing the quality of excellent mathematics MOOCs:From the perspective of comment text mining
To explore the factors influencing the quality of excellent mathematics MOOCs(massive open online courses)and to understand learners'demands and expectations for MOOCs,the study takes 12 national first-class undergraduate online courses of mathematics as samples,and analyzes the text of more than 10,000 comments from the dimensions of high-score courses,low-score courses,positive comments and negative comments by using TF-IDF feature word extraction model and LDA topic mining model.The results show that the factors influencing the quality of MOOCs mainly include teachers'teaching method,learners'learning experience,course content and course design,among which teachers'teaching method and learners'learning experience are the two major topics with the highest total probability of feature words.And they are the key factors of attracting learners to high-score courses,while learning experience is the difference in course quality between low-score courses and high-score courses.Based on this,this study puts forward some suggestions such as vivid teaching method,advanced course content,appropriate course design and perfect platform design.This study has reference significance for the construction,evaluation and improvement of MOOCs.
college mathematicsexcellent MOOCscourse qualityinfluence factorTF-IDFLDA modeltext analysis
NETL
NSTL
万方数据
