@article{ART003176771},
author={Tae-Ho Min and Ye-Jin Moon and Maeng Hee Ju},
title={Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={2},
pages={213-226}
TY - JOUR
AU - Tae-Ho Min
AU - Ye-Jin Moon
AU - Maeng Hee Ju
TI - Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 2
PB - The Korean Society Of Computer And Information
SP - 213
EP - 226
SN - 1598-849X
AB - The aim of this study was to compare the main topics of domestic and international research on AI literacy using text mining techniques. Relevant studies published between January 2020 and September 2024 that explicitly addressed the subcomponents of AI literacy were collected. TF-IDF-based time-series analysis and topic modeling methods were applied to extract key research topics. The findings indicate that domestic research primarily focused on practical approaches, such as the development of learning programs and teacher-centered research and assessment. In contrast, international studies emphasized theoretical frameworks of AI literacy and its applicability in specific contexts. The results of this study provide foundational insights into the overall trends and differences in AI literacy research across domestic and international contexts.
KW - AI literacy;AI education;Literature review;TF-IDF;Time-series analysis;Topic modeling
DO -
UR -
ER -
Tae-Ho Min, Ye-Jin Moon and Maeng Hee Ju. (2025). Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques. Journal of The Korea Society of Computer and Information, 30(2), 213-226.
Tae-Ho Min, Ye-Jin Moon and Maeng Hee Ju. 2025, "Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques", Journal of The Korea Society of Computer and Information, vol.30, no.2 pp.213-226.
Tae-Ho Min, Ye-Jin Moon, Maeng Hee Ju "Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques" Journal of The Korea Society of Computer and Information 30.2 pp.213-226 (2025) : 213.
Tae-Ho Min, Ye-Jin Moon, Maeng Hee Ju. Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques. 2025; 30(2), 213-226.
Tae-Ho Min, Ye-Jin Moon and Maeng Hee Ju. "Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 213-226.
Tae-Ho Min; Ye-Jin Moon; Maeng Hee Ju. Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques. Journal of The Korea Society of Computer and Information, 30(2), 213-226.
Tae-Ho Min; Ye-Jin Moon; Maeng Hee Ju. Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques. Journal of The Korea Society of Computer and Information. 2025; 30(2) 213-226.
Tae-Ho Min, Ye-Jin Moon, Maeng Hee Ju. Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques. 2025; 30(2), 213-226.
Tae-Ho Min, Ye-Jin Moon and Maeng Hee Ju. "Comparison of Domestic and International AI Literacy Research Topics Using Text Mining Techniques" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 213-226.
