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@article{ART002732526},
author={Byung-Hak Leem},
title={Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach},
journal={The Journal of Education Consulting & Coaching},
issn={2586-3886},
year={2021},
volume={5},
number={2},
pages={5-24},
doi={10.31137/ECC.2021.5.2.5}

TY - JOUR
AU - Byung-Hak Leem
TI - Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach
JO - The Journal of Education Consulting & Coaching
PY - 2021
VL - 5
IS - 2
PB - The Korea Association of Education Consulting & Coaching
SP - 5
EP - 24
SN - 2586-3886
AB - With the decrease in the school-age population, students have more freedom than ever before to move between universities. Today, universities are looking for ways to find and resolve dissatisfaction factors as a way to minimize student dropout. Therefore, this study aims to improve the quality of classes and improve satisfaction by analyzing negative feedback expressing the results of students' learning experience, finding the determinants of learning dissatisfaction through a text mining approach, and suggesting solutions. To this end, we analyzed 411 reviews of learning experience text feedback from 250 students participating in 9 classes in the second semester of 2019. The results of the analysis identified four major determinants: the teaching method of the professor, the poor environment in the computer lab, confusion of tasks for each team, and difficulty in hands-on lessons. The results of this analysis show that most of the dissatisfaction factors are related to the curriculum, teaching method, and classroom environment. Therefore, in order to prevent such dissatisfaction in advance, it is necessary to introduce a student-friendly teaching method as well as improving free interaction between students and professors. In other words, it is necessary to have an environment in which students can understand the curriculum and use library or technical resources satisfactorily.
KW - Student Feedbacks;Text Mining;Sentiment Analysis;Structural Equivalance Analysis
DO - 10.31137/ECC.2021.5.2.5
ER -

Byung-Hak Leem. (2021). Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach. The Journal of Education Consulting & Coaching, 5(2), 5-24.

Byung-Hak Leem. 2021, "Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach", The Journal of Education Consulting & Coaching, vol.5, no.2 pp.5-24. Available from: doi:10.31137/ECC.2021.5.2.5

Byung-Hak Leem "Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach" The Journal of Education Consulting & Coaching 5.2 pp.5-24 (2021) : 5.

Byung-Hak Leem. Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach. 2021; 5(2), 5-24. Available from: doi:10.31137/ECC.2021.5.2.5

Byung-Hak Leem. "Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach" The Journal of Education Consulting & Coaching 5, no.2 (2021) : 5-24.doi: 10.31137/ECC.2021.5.2.5

Byung-Hak Leem. Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach. The Journal of Education Consulting & Coaching, 5(2), 5-24. doi: 10.31137/ECC.2021.5.2.5

Byung-Hak Leem. Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach. The Journal of Education Consulting & Coaching. 2021; 5(2) 5-24. doi: 10.31137/ECC.2021.5.2.5

Byung-Hak Leem. Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach. 2021; 5(2), 5-24. Available from: doi:10.31137/ECC.2021.5.2.5

Byung-Hak Leem. "Determining Key Factors of Learning Dissatisfaction in Higher Education: Text mining approach" The Journal of Education Consulting & Coaching 5, no.2 (2021) : 5-24.doi: 10.31137/ECC.2021.5.2.5