<研究論文>オンデマンド型ライティング授業の改善に向けた授業評価分析 : 顧客満足分析の視点によるテキスト・マイニング

Abstract

Course evaluations have been widely conducted at Japanese universities to investigate students' understanding or satisfaction. However, most universities struggle to extract useful implications from their course assessments. The purpose of this study is to propose a method and perspective for effectively analyzing student course evaluations and free descriptive answers. We employed the text-mining method, using the free software "KH Coder" to calculate word frequency and find colloquial expressions in students' evaluation data. The marketing research perspective of Customer Satisfaction analysis was applied, comparing free descriptive answers between the "very satisfied" group and the "satisfied" group. We investigated course evaluation of the on-demand academic writing class at Waseda University, especially focusing on students' satisfaction with online feedback from instructors. As a result, particular colloquial expressions were found, such as "satisfied and question, " "scoring and lost points, " and "late and feedback." Statistically significant text analysis revealed three practical implications of class improvement: regulating the timing of feedback, developing the quality of individual support, and standardizing the instructors' grading.