Analysis of Descriptive Course Evaluation of University Chemistry Laboratory Class using Text Mining

Journal of the Korean Chemical Society

article

Jeonghyun Yun¹  Geumju Park² 

[1] Department of Liberal Arts & Sciences, Hansung University;Department of Liberal Arts, Dankook University

关键词: Text mining;    University chemistry laboratory class;    Course evaluation;    Course improvement;    Network analysis;   

DOI  :  10.5012/jkcs.2022.66.3.218

学科分类：化学（综合）

来源: Korean Chemical Society

【 摘 要 】

The purpose of this study is to analyze the opinions of students by using the text mining to the good points andimprovements among the descriptive course evaluation written by the students who participated in the university chemistrylaboratory class, and to derive the improvement for the class. We analyzed the frequency of occurrence, co-occurrence andnetwork of key words. As a result of the study, in the network of good points in the class, the most frequent mentions weremade between class and professor, along with explanation, understanding, student, passion, fun, TA, experiment, help, etc. Inthe network of improvements in the class, the most frequent mentions were made between class and student, along with professor, content, explanation, exam, wish, experiment, understanding, difficult, thought, problem, etc. In other words, the students suggested the opinion that the contents of the class were well understood and that they felt fun and satisfied with theexperimental process due to ‘easy and detailed explanation’ and ‘TA’s assistance’ as good points of the class. On the otherhand, the students suggested the negative opinions that the understanding and concentration in the class was decreased due to‘difficulty of content and exam’, ‘excessive assignments’, and ‘class environment’ as improvements of the class.

【 授权许可】

Unknown