실시간 및 비실시간 온라인 학습 시스템의 품질 개선 연구: IPA와 토픽 모델링을 활용하여

• 영문명: A Study on Improving the Quality of Synchronous and Asynchronous Online Learning Systems:Using IPA and Topic Modeling
• 발행기관: 한국IT서비스학회
• 저자명: 황기석(Ki Seok Hwang) 차경진(Kyung Jin Cha)
• 간행물 정보: 『한국IT서비스학회지』제24권 제1호, 93~107쪽, 전체 15쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2025.02.28

국문 초록

This study aims to propose quality improvement measures for online learning systems by comparing learning experiences in synchronous and asynchronous learning modes. Based on 1,551 learner reviews, topic modeling identifies key learning attributes and positive and negative importance-performance analysis (IPA) is performed. A t-test is also performed to quantitatively compare ‘instructor delivery skills’ and overall satisfaction. The results show that ‘instructor delivery skills’ is the most important key attribute in both learning modes, and ‘instructor delivery skills’ and overall satisfaction are rated significantly higher in the asynchronous learning mode than in the synchronous learning mode. In synchronous learning mode, ‘content quality’ and ‘learning autonomy’ are identified as key attributes with ambivalence. In the asynchronous learning mode, ‘content quality’ serves as the main attribute that leads to learner satisfaction, while ‘learning autonomy’ functions as a stable attribute that does not lead to dissatisfaction. In particular, this study is significant in that it systematically identifies the impact of key attributes of each learning mode on the learning experience using positive and negative IPA. The findings suggest the need to mitigate the negative impact of time constraints on the learning experience in synchronous learning mode and complement interactivity in asynchronous learning mode. It also provides practical suggestions for improving the quality of the learning experience through customized improvement strategies for each learning mode.

목차

1. 서론

2. 이론적 배경

3. 연구 방법

4. 분석 결과

5. 결론

참고문헌

키워드

Online Learning Systems Synchronous and Asynchronous Learning Mode Importance-Performance Analysis Learning Experience Quality Improvement