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@article{ART003009748},
author={Jae-Nam Kim and Seong-Eun Chu},
title={Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={10},
pages={197-205},
doi={10.9708/jksci.2023.28.10.197}

TY - JOUR
AU - Jae-Nam Kim
AU - Seong-Eun Chu
TI - Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 10
PB - The Korean Society Of Computer And Information
SP - 197
EP - 205
SN - 1598-849X
AB - This study is to apply the Havruta teaching-learning method to college students' major classes and analyze the relationship between the effectiveness evaluation of communication skills and sub-factors using a structural equation model. As a result of the study, the communication ability score was different before and after Havruta teaching-learning, and it was found that after Havruta teaching-learning was higher than before Havruta teaching-learning. The path effect was found to be significant in all of the total, direct, and indirect effects among latent variables, except for the relationship between interpretation ability, role-playing ability, and goal-setting ability in the direct effect. In this study, it was found that the Havruta teaching-learning method not only improves creativity and thinking ability, but also improves self-directed learning ability. In addition, it was reconfirmed that it is a teaching-learning method that can develop social skills and communication skills as well as problem-solving skills while experiencing opinions different from one's own. As a result, research on a thorough student-centered teaching-learning method suitable for the Homo Machina era must be continued and its application in the educational field must be implemented.
KW - Havruta Teaching-Learning Method;Communication Ability;Structural Equation Model;Path Effect;Latent Variable;Learning Effect
DO - 10.9708/jksci.2023.28.10.197
ER -

Jae-Nam Kim and Seong-Eun Chu. (2023). Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method. Journal of The Korea Society of Computer and Information, 28(10), 197-205.

Jae-Nam Kim and Seong-Eun Chu. 2023, "Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method", Journal of The Korea Society of Computer and Information, vol.28, no.10 pp.197-205. Available from: doi:10.9708/jksci.2023.28.10.197

Jae-Nam Kim, Seong-Eun Chu "Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method" Journal of The Korea Society of Computer and Information 28.10 pp.197-205 (2023) : 197.

Jae-Nam Kim, Seong-Eun Chu. Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method. 2023; 28(10), 197-205. Available from: doi:10.9708/jksci.2023.28.10.197

Jae-Nam Kim and Seong-Eun Chu. "Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 197-205.doi: 10.9708/jksci.2023.28.10.197

Jae-Nam Kim; Seong-Eun Chu. Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method. Journal of The Korea Society of Computer and Information, 28(10), 197-205. doi: 10.9708/jksci.2023.28.10.197

Jae-Nam Kim; Seong-Eun Chu. Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method. Journal of The Korea Society of Computer and Information. 2023; 28(10) 197-205. doi: 10.9708/jksci.2023.28.10.197

Jae-Nam Kim, Seong-Eun Chu. Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method. 2023; 28(10), 197-205. Available from: doi:10.9708/jksci.2023.28.10.197

Jae-Nam Kim and Seong-Eun Chu. "Structural Equation Model Analysis of Communication Ability by Havruta Teaching-Learning Method" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 197-205.doi: 10.9708/jksci.2023.28.10.197