CS分析の考え方を導入した授業評価アンケートの分析と授業改善ポイントの定量化

Abstract

Lecture evaluations by students must be a significant means for improving lectures in universities. So far, many universities therefore have conducted lecture evaluations by students, even in Japan. However, in most cases of lecture evaluations in Japan, results are simply summed together, so that the analysis results can not indicate what and how much teachers should improve in their lectures. Raw data from the lecture evaluations should be analyzed statistically rather than simply summed together for optimal teaching improvement. In this paper, the concept of customer satisfaction (CS) surveys and analyses, which have mainly been developed in the field of marketing research, is introduced as a method for analyzing the raw data from lecture evaluations. This CS analysis model has the ability to quantitatively show what and how much teachers should improve. The sample here, obtained form lecture evaluations at Meijo University in 2003, was divided into some groups based on faculties, the number of students evaluating the lecture, and the students' attitudes. Using the CS analysis model, points for teaching improvements were quantified for each group. Finally, an actual case analyzed using the CS analysis model at Meijo University was reported.