This study aims to design an IoT-based AX (AI Transformation) convergence curriculum model and propose its operational strategies to cultivate interdisciplinary talents required in the era of digital transformation. The proposed model addresse...

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https://www.riss.kr/link?id=A110286167
이근호 (백석대학교)
2026
Korean
IoT ; AI(Artificial Intelligence) ; AX(AI Transformation) ; Convergence Curriculum ; Model ; 사물인터넷 ; 인공지능 ; 인공지능대전환 ; 융합교육 ; 모델
KCI등재
학술저널
165-172(8쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
This study aims to design an IoT-based AX (AI Transformation) convergence curriculum model and propose its operational strategies to cultivate interdisciplinary talents required in the era of digital transformation. The proposed model addresse...
This study aims to design an IoT-based AX (AI Transformation) convergence curriculum model and propose its operational strategies to cultivate interdisciplinary talents required in the era of digital transformation. The proposed model addresses the limitations of existing fragmented and experience-oriented AI education by organically integrating domain-specific knowledge from various disciplines with AI technologies, thereby focusing on fostering practical convergence competencies. To this end, the curriculum is designed based on a multi-layered completion system consisting of convergence majors, linked majors, and convergence tracks. It allows students to participate flexibly and autonomously through diverse learning pathways, including double majors, minors, and micro-degrees. Furthermore, the curriculum incorporates customized bridge courses and industry-academia collaborative projects that connect AI technologies with various academic fields such as healthcare, tourism, design, business, and public safety, thereby enhancing discipline-specific practical competencies. This framework contributes to expanding the applicability of AX convergence education by reflecting both disciplinary characteristics and industry demands.
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