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    사물인터넷 기반 AX 융합교육과정 모델 설계 및 운영 방안에 관한 연구 = A Study on the Design and Operation of an IoT-Based AX Convergence Curriculum Model

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    https://www.riss.kr/link?id=A110286167

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    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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    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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