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http://dx.doi.org/10.5012/jkcs.2022.66.3.218

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

Yun, Jeonghyun (Department of Liberal Arts & Sciences, Hansung University)
Park, Geumju (Department of Liberal Arts, Dankook University)
Publication Information
Journal of the Korean Chemical Society / v.66, no.3, 2022 , pp. 218-227 More about this Journal
Abstract
The purpose of this study is to analyze the opinions of students by using the text mining to the good points and improvements among the descriptive course evaluation written by the students who participated in the university chemistry laboratory class, and to derive the improvement for the class. We analyzed the frequency of occurrence, co-occurrence and network of key words. As a result of the study, in the network of good points in the class, the most frequent mentions were made between class and professor, along with explanation, understanding, student, passion, fun, TA, experiment, help, etc. In the 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 the experimental process due to 'easy and detailed explanation' and 'TA's assistance' as good points of the class. On the other hand, 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.
Keywords
Text mining; University chemistry laboratory class; Course evaluation; Course improvement; Network analysis;
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