구조적 토픽 모델(STM) 분석을 활용한 수업 질 관리 방안 연구: A대학교 경영대학 강의평가 결과를 중심으로

Abstract

This study aims to understand students' perceptions of lectures based on university lecture evaluation results and to analyze the correlation between differences in these perceptions depending on whether the average lecture evaluation scores are high or low, with the overarching goal of improving lecture quality. We employ Structural Topic Modeling (STM) for our analysis, and the findings are as follows. First, seven topics were extracted from our topic modeling: the professor's characteristics, satisfaction with the lecture, the professor's attitude toward the lecture, teaching methods, the difficulty level(complexity) of the lecture content, the pace of the lecture, and class evaluation. Second, there was a clear difference between topics in the higher and lower ranges of lectures evaluation scores. We found that the topics of "the professor's attitude toward the lecture" and "the difficulty level of the lecture content" were most strongly associated with other topics. In short, students in the business programs in our data evaluate lectures based primarily on 'teaching factors'. Thus, instructors teaching business courses should carefully reflect on ways to improve course-related aspects in their teaching. Additionally, for effective course quality management, professors should assess and improve the extent to which they are systematically organizing and preparing course designs in relation to the clarity of their content delivery, the degree of interest they express in their students, the organization of their teaching methods and lecture pace, and lecture evaluations.