@article{ART002889755},
author={Sang-Chul Lee},
title={Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={10},
pages={211-222},
doi={10.9708/jksci.2022.27.10.211}

TY - JOUR
AU - Sang-Chul Lee
TI - Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 10
PB - The Korean Society Of Computer And Information
SP - 211
EP - 222
SN - 1598-849X
AB - The purpose of this study is to indicate the direction of the future university classes in the post-COVID era, comparing and analyzing lecture evaluation of pre and post COVID-19. To this end, 4 yeard data were used from 2018 to 2019 for pre COVID-19 and form 2020 to 2021 data for post COVID-19. The results were as follows. In the case of liberal arts, “assignments ” was the word with the highest frequency and degree centrality(DC) regardless of pre and post-COVID-19 In the major, “understanding” appeared as the most important word. The result of the ego network analysis indicated that “video lecture” and “non-face-to-face classes” were difficult and “interaction” between the professor and the students was important. As a results, it is important to reduce the weight of assignments and increase interaction with students in liberal arts classes. In the case of majors, it is necessary to operate face-to-face classes rather than non-face-to-face classes, and to organize the contents of videos without difficulty.
KW - Lecture Evaluation;Data Mining;Text Mining;Degree Centrality;Ego Network Analysis
DO - 10.9708/jksci.2022.27.10.211
ER -

Sang-Chul Lee. (2022). Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19. Journal of The Korea Society of Computer and Information, 27(10), 211-222.

Sang-Chul Lee. 2022, "Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19", Journal of The Korea Society of Computer and Information, vol.27, no.10 pp.211-222. Available from: doi:10.9708/jksci.2022.27.10.211

Sang-Chul Lee "Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19" Journal of The Korea Society of Computer and Information 27.10 pp.211-222 (2022) : 211.

Sang-Chul Lee. Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19. 2022; 27(10), 211-222. Available from: doi:10.9708/jksci.2022.27.10.211

Sang-Chul Lee. "Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 211-222.doi: 10.9708/jksci.2022.27.10.211

Sang-Chul Lee. Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19. Journal of The Korea Society of Computer and Information, 27(10), 211-222. doi: 10.9708/jksci.2022.27.10.211

Sang-Chul Lee. Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19. Journal of The Korea Society of Computer and Information. 2022; 27(10) 211-222. doi: 10.9708/jksci.2022.27.10.211

Sang-Chul Lee. Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19. 2022; 27(10), 211-222. Available from: doi:10.9708/jksci.2022.27.10.211

Sang-Chul Lee. "Analysis of Descriptive Lectures Evaluation using Text Mining: Comparative analysis pre and post COVID-19" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 211-222.doi: 10.9708/jksci.2022.27.10.211