Analysis of Course Evaluation Questionnaire Utilizing Data and Text Mining Technology

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I examined (1) the concrete factor that affects the satisfaction to and understanding of the lecture, and (2) the relationship between items included in the questionnaire and keywords included in the free description, utilizing the data collected as the course evaluation questionnaire at Osaka University. As a result, it became clear that Speaking skill of the lecturer or difficulty level of the lecture etc. would affect the satisfaction and understanding level of the lecture. In addition, I found that some keywords did not represent the literal meaning : When the keyword "rapid" was included in the free description, learners tended to feel that the lecture was "difficult".