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      A Study on the Development and Validation of a Generative AI–Integrated UX Design Education Model Based on the Design Process

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      https://www.riss.kr/link?id=A110094099

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      This study aims to develop an AI-integrated educational model that incorporates generative AI into the UX design curriculum and to validate its effectiveness through Design-Based Research (DBR). The research followed the ADDIE instructional design framework—Analysis, Design, Development, Implementation, and Evaluation—using a university-level UX design course as the experimental setting.
      In Phase 1, learner needs and the existing curriculum were analyzed to design a project-based learning model centered on AI-supported design processes. In Phase 2, project-based classes were conducted using generative AI tools such as ChatGPT, Gemini, and Midjourney. Learning outcomes were evaluated using a structured rubric focusing on creativity, problem-solving ability, and collaboration. In Phase 3, the curriculum was refined through instructor interviews and learner feedback analysis.
      The findings indicate that integrating generative AI into design education significantly improved students’ problem-definition accuracy, visualization speed, and collaborative engagement. It also increased their awareness and literacy in AI utilization. This study proposes practical instructional design guidelines for incorporating AI into UX design education and provides foundational insights for developing qualitative evaluation models to support the digital transformation of design pedagogy. We aim to impact the future of design education by establishing a practical and sustainable framework that bridges generative AI technology with creative design learning.
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      This study aims to develop an AI-integrated educational model that incorporates generative AI into the UX design curriculum and to validate its effectiveness through Design-Based Research (DBR). The research followed the ADDIE instructional design fra...

      This study aims to develop an AI-integrated educational model that incorporates generative AI into the UX design curriculum and to validate its effectiveness through Design-Based Research (DBR). The research followed the ADDIE instructional design framework—Analysis, Design, Development, Implementation, and Evaluation—using a university-level UX design course as the experimental setting.
      In Phase 1, learner needs and the existing curriculum were analyzed to design a project-based learning model centered on AI-supported design processes. In Phase 2, project-based classes were conducted using generative AI tools such as ChatGPT, Gemini, and Midjourney. Learning outcomes were evaluated using a structured rubric focusing on creativity, problem-solving ability, and collaboration. In Phase 3, the curriculum was refined through instructor interviews and learner feedback analysis.
      The findings indicate that integrating generative AI into design education significantly improved students’ problem-definition accuracy, visualization speed, and collaborative engagement. It also increased their awareness and literacy in AI utilization. This study proposes practical instructional design guidelines for incorporating AI into UX design education and provides foundational insights for developing qualitative evaluation models to support the digital transformation of design pedagogy. We aim to impact the future of design education by establishing a practical and sustainable framework that bridges generative AI technology with creative design learning.

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