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@article{ART002952583},
author={Bok-Ju Jung and Sang-Chul Lee},
title={Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={4},
pages={197-208},
doi={10.9708/jksci.2023.28.04.197}

TY - JOUR
AU - Bok-Ju Jung
AU - Sang-Chul Lee
TI - Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 4
PB - The Korean Society Of Computer And Information
SP - 197
EP - 208
SN - 1598-849X
AB - In this study, we attempted to examine the changing ways of thinking about lecture evaluation before and after COVID-19. To this end, decision tree analysis(Decision Tree) was used among data mining techniques based on lecture evaluation data for liberal arts and major classes conducted before and after COVID-19 for A university. According to the results of the study, liberal arts changed from 'method' to 'content', and 'knowledge improvement' was an important factor both before and after majors. In particular, 'Assignment' was found to be an important factor after the COVID-19 in common in the evaluation of lectures in the liberal arts department, which means that in the future, professors will be provided with appropriate teaching methods during class, interaction with students, and feedback on assignments or test results, indicates the need for competence. Based on the results of this study, a plan to improve communication with students and activation of blended learning was suggested.
KW - Decision Tree;Lecture Evaluation;COVID-19;University Lecture;Improvement
DO - 10.9708/jksci.2023.28.04.197
ER -

Bok-Ju Jung and Sang-Chul Lee. (2023). Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19. Journal of The Korea Society of Computer and Information, 28(4), 197-208.

Bok-Ju Jung and Sang-Chul Lee. 2023, "Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19", Journal of The Korea Society of Computer and Information, vol.28, no.4 pp.197-208. Available from: doi:10.9708/jksci.2023.28.04.197

Bok-Ju Jung, Sang-Chul Lee "Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19" Journal of The Korea Society of Computer and Information 28.4 pp.197-208 (2023) : 197.

Bok-Ju Jung, Sang-Chul Lee. Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19. 2023; 28(4), 197-208. Available from: doi:10.9708/jksci.2023.28.04.197

Bok-Ju Jung and Sang-Chul Lee. "Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 197-208.doi: 10.9708/jksci.2023.28.04.197

Bok-Ju Jung; Sang-Chul Lee. Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19. Journal of The Korea Society of Computer and Information, 28(4), 197-208. doi: 10.9708/jksci.2023.28.04.197

Bok-Ju Jung; Sang-Chul Lee. Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19. Journal of The Korea Society of Computer and Information. 2023; 28(4) 197-208. doi: 10.9708/jksci.2023.28.04.197

Bok-Ju Jung, Sang-Chul Lee. Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19. 2023; 28(4), 197-208. Available from: doi:10.9708/jksci.2023.28.04.197

Bok-Ju Jung and Sang-Chul Lee. "Comparative analysis of Lecture Evaluation using Decision Tree: Ways to Improve University Classes after COVID-19" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 197-208.doi: 10.9708/jksci.2023.28.04.197