Teaching Practice and Assessment System Construction of Generative AI-enabled Product Design Course

Abstract

Generative AI technology is reshaping the field of product design, providing designers with new creative tools and promoting the innovation of design education mode. This paper focuses on the teaching practice and assessment system construction of generative AI-enabled product design courses, aiming to explore how to effectively integrate AI technology in design education. By setting three-dimensional course objectives of knowledge, ability and literacy, adopting a modularized course content system, and integrating innovative teaching methods such as case-driven, project practice and collaborative design workshops, the study realizes a progressive learning path from technological cognition to comprehensive design project practice. Through the construction of a multi-dimensional assessment framework and the combination of process and outcome assessment, we ensure that the assessment results are objective and fair, and provide a basis for curriculum optimization and teaching method innovation. The study explores the new teaching path of generative AI-enabled product design courses, providing a useful reference for the innovative development of design education in the AI era.