디자인씽킹을 활용한 AI 융합교육 교수자료 개발: 4년제 대학 메이크업 수업을 중심으로

This study aims to develop instructional materials for AI-integrated makeup education based on a design thinking framework, in response to the growing need for creative problem-solving competencies and AI literacy in the field of beauty education. The five stages of design thinking—empathize, define, ideate, prototype, and test—were adopted as the core instructional structure, and industry-applied AI tools such as AI-based skin analysis, facial shape diagnostics, and virtual makeup simulation were incorporated into the instructional strategies and learning resources. The main findings of this study are as follows. First, eight instructional strategies were developed, including user-centered instruction, project-based learning, AI-enhanced skill training, iterative feedback, collaborative learning, visual thinking, industry-linked learning, and reflective learning. Second, a 15-week instructional plan was designed based on these strategies, enabling students to progress step by step through problem identification, ideation, prototyping, evaluation, and refinement in alignment with both the design thinking cycle and AI analytic processes. Third, various assessment tools and learning materials were produced, such as rubrics for practical performance, presentations, and portfolios, along with user analysis sheets, define-stage worksheets, and moodboard templates. The instructional materials proposed in this study provide an integrated educational model that combines AI-based data analysis, design thinking methodology, and practical makeup skills, shifting makeup education away from traditional technique-centered instruction. This model offers a foundation for fostering industry-ready professionals capable of adapting to the digital transformation in the beauty sector.