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This study explores how combining flipped learning and Generative AI (GenAI) can improve practice-based design education, using a knit yarn design course as a case study.

cs.HCBeginner-friendly

Integrating Flipped Learning and Generative AI for Practice-Based Design Education: Evidence from a Knit Yarn Design Course

Hong Qu, Zichao Ling, Yadie Yang

In plain terms

In hands-on design courses, like knit yarn design, students often struggle to turn their creative visual ideas into actual products due to complex material properties, technical details, and limited opportunities to make physical samples. To tackle this, researchers developed a new teaching method that combines "flipped learning" (where students learn basic concepts at home before class), reviewing examples, using Generative AI (GenAI) for visual prototyping, and getting feedback in the studio. This method was implemented via a digital platform offering pre-class videos, quizzes, an example gallery, and a GenAI tool for early ideation. An exploratory study comparing students using this new method to a control group showed higher scores in creativity, design skills, problem-solving, and overall course performance for the intervention group. Student and instructor feedback suggested that flipped learning effectively prepared students for studio work, while GenAI primarily aided early-stage visual exploration rather than providing precise technical instructions.

Why it matters · For newcomers, this paper offers a practical example of how Generative AI can be integrated into specialized educational settings to foster creativity and design skills. It demonstrates a thoughtful pedagogical framework and highlights the specific ways AI can support learning, as well as its current limitations, making it a valuable case study for applying AI in education.

About this work · This research falls within the field of educational technology, specifically exploring how emerging AI tools can enhance teaching and learning, particularly in creative and practice-based disciplines. It addresses challenges in design education where students need to bridge conceptual ideas with material realization.

Generative AIFlipped LearningDesign EducationPedagogyHuman-Computer Interaction