Knowledge Discovery to Improve Students’ Class Achievement Using Questionnaires
Maya Iwano, Kazuhiko TSUDA · Procedia Computer Science · 2023
This study determines whether students were able to acquire the desired level of knowledge and skills, by using class evaluation questionnaires which are administered after each class. The questionnaire serves many purposes, but the more questions asked, the lower the response rate. Therefore, this study proposes a method to discover areas for improvement of classes by analyzing free descriptions in questionnaires through students' individual evaluations. Further, we propose an algorithm for discovering improvement objects and deciphering their directions. The proposed method was applied to a case study, and the result suggests that the proposed method is effective.