@article{ART003306469},
author={Son Yeon ju and Youn,JeongJin},
title={Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2026},
volume={12},
number={1},
pages={205-212}
TY - JOUR
AU - Son Yeon ju
AU - Youn,JeongJin
TI - Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model
JO - Journal of Internet of Things and Convergence
PY - 2026
VL - 12
IS - 1
PB - The Korea Internet of Things Society
SP - 205
EP - 212
SN - 2466-0078
AB - This study examines the significance of cyclic learning community experiences formed during the implementation of the AI Creative Design On(溫)-Namu Project, supported by the Korea Foundation for the Advancement of Science and Creativity, in developing an AI educational welfare governance model. A case study approach was employed to analyze collaborative experiences and interactions among university researchers, public institutions, AI education companies, teachers, and students within a cyclic operational structure. Data were collected from official reports, operational records, meeting and feedback documents, activity outputs, and qualitative memos, and analyzed through open, axial, and selective coding by integrating Strauss and Corbin’s grounded theory approach with Stake’s case study framework. The findings indicate that complementary collaboration between humanities- and education-based researchers and AI technology experts is central to AI educational welfare governance, that cyclic learning community operations transform governance from a linear management system into an ecological structure, and that inclusive practices involving multicultural, disabled, and educationally marginalized students redefine AI education as an educational welfare model emphasizing public value and accessibility. This study offers theoretical and practical implications for expanding AI education beyond technical skill acquisition toward a welfare-based AI governance model and provides foundational insights for the development of sustainable AI education policies and programs.
KW - AI Educational Welfare Model;Governance;Cyclic Learning Community;Inclusive AI Education
DO -
UR -
ER -
Son Yeon ju and Youn,JeongJin. (2026). Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model. Journal of Internet of Things and Convergence, 12(1), 205-212.
Son Yeon ju and Youn,JeongJin. 2026, "Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model", Journal of Internet of Things and Convergence, vol.12, no.1 pp.205-212.
Son Yeon ju, Youn,JeongJin "Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model" Journal of Internet of Things and Convergence 12.1 pp.205-212 (2026) : 205.
Son Yeon ju, Youn,JeongJin. Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model. 2026; 12(1), 205-212.
Son Yeon ju and Youn,JeongJin. "Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model" Journal of Internet of Things and Convergence 12, no.1 (2026) : 205-212.
Son Yeon ju; Youn,JeongJin. Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model. Journal of Internet of Things and Convergence, 12(1), 205-212.
Son Yeon ju; Youn,JeongJin. Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model. Journal of Internet of Things and Convergence. 2026; 12(1) 205-212.
Son Yeon ju, Youn,JeongJin. Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model. 2026; 12(1), 205-212.
Son Yeon ju and Youn,JeongJin. "Exploring Cyclic Learning Community Experiences for Building an AI Educational Welfare Governance Model" Journal of Internet of Things and Convergence 12, no.1 (2026) : 205-212.
