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@article{ART003283018},
author={Gui Jung Kim},
title={A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={49-54},
doi={10.20465/KIOTS.2025.11.6.033}

TY - JOUR
AU - Gui Jung Kim
TI - A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 49
EP - 54
SN - 2466-0078
AB - The proposed system demonstrates the feasibility of adaptive learning environments that respond to learners’ cognitive and physiological changes in real time. This study proposes an unsupervised learning approach using the Self-Organizing Map (SOM) to classify user states in Brain– Computer Interface (BCI) systems and apply them to a personalized learning recommendation model. EEG signals from alpha, beta, and theta frequency bands were analyzed to cluster user cognitive states into high focus, moderate focus, and low focus levels. The SOM model enabled clustering without labeled data, and the ontology-based recommendation algorithm dynamically adjusted learning content according to user states. Future work will focus on real EEG experiments and the integration of multimodal biosignals to enhance precision and expand the practical application of real-time personalized learning systems.
KW - BCI;EEG;SOM;Learning Recommendation System;Unsupervised Learning
DO - 10.20465/KIOTS.2025.11.6.033
ER -

Gui Jung Kim. (2025). A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification. Journal of Internet of Things and Convergence, 11(6), 49-54.

Gui Jung Kim. 2025, "A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification", Journal of Internet of Things and Convergence, vol.11, no.6 pp.49-54. Available from: doi:10.20465/KIOTS.2025.11.6.033

Gui Jung Kim "A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification" Journal of Internet of Things and Convergence 11.6 pp.49-54 (2025) : 49.

Gui Jung Kim. A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification. 2025; 11(6), 49-54. Available from: doi:10.20465/KIOTS.2025.11.6.033

Gui Jung Kim. "A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification" Journal of Internet of Things and Convergence 11, no.6 (2025) : 49-54.doi: 10.20465/KIOTS.2025.11.6.033

Gui Jung Kim. A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification. Journal of Internet of Things and Convergence, 11(6), 49-54. doi: 10.20465/KIOTS.2025.11.6.033

Gui Jung Kim. A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification. Journal of Internet of Things and Convergence. 2025; 11(6) 49-54. doi: 10.20465/KIOTS.2025.11.6.033

Gui Jung Kim. A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification. 2025; 11(6), 49-54. Available from: doi:10.20465/KIOTS.2025.11.6.033

Gui Jung Kim. "A Personalized Learning Recommendation Method Using SOM-Based BCI User State Classification" Journal of Internet of Things and Convergence 11, no.6 (2025) : 49-54.doi: 10.20465/KIOTS.2025.11.6.033