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의사결정나무를 활용한 실시간 온라인 한국어 강의에서의 학습자 만족도 분석-상호작용 요인을 중심으로-An Analysis of Learner Satisfaction with Real-time Online Korean Language Lectures Using a Decision Tree: Focusing on Factors of Interaction

Other Titles
An Analysis of Learner Satisfaction with Real-time Online Korean Language Lectures Using a Decision Tree: Focusing on Factors of Interaction
Authors
민경아박서욱유동희
Issue Date
2021
Publisher
국제한국어교육학회
Keywords
real-time online Korean language lecture; Korean language education; interaction; learner satisfaction; decision tree; 실시간 온라인 한국어 강의; 한국어교육; 상호작용; 학습자 만족도; 의사결정나무
Citation
한국어교육, v.32, no.1, pp 131 - 150
Pages
20
Indexed
KCI
Journal Title
한국어교육
Volume
32
Number
1
Start Page
131
End Page
150
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/4468
DOI
10.18209/iakle.2021.32.1.131
ISSN
1225-6137
2713-847X
Abstract
This study identified factors of interaction influencing the satisfaction of 74 foreign learners with real-time online Korean lectures using a survey design. The study developed two types of prediction models for satisfaction with learning effects and satisfaction with lectures using a decision tree algorithm, which produced the best accuracies of 75.0% and 87.5%, respectively. Four common influential factors affected the two types of prediction models: gathering feedback on assessments, providing appropriate time, identifying the learner’s learning status, and providing interesting materials. In addition, this study developed four rules for satisfaction with learning effects and six rules for satisfaction with lectures from the prediction models. Using the derived rules, this study proposed helpful directions for enhancing foreign learners’ satisfaction in real-time online Korean language lectures.
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