Research on the Application Strategy of AIGC in Project based Teaching of Interior Design CAD Drawing Course
Year: 2025
Type: article
Abstract: With the deep penetration of Artificial Intelligence Generated Content (AIGC) technology in the design field, interior design CAD drawing courses, as the core carrier connecting design creativity and technology implementation, face efficiency bottlenecks, creative limitations, and lack of personalized guidance in traditional project-based teaching. This article combines the generative and iterative characteristics of AIGC technology, analyzes its feasibility in the course through literature research, action research, and comparative experiments, constructs a three-dimensional application strategy of "technology empowerment task reconstruction evaluation optimization", and verifies the effect with the indoor design major of a vocational college as a practical sample. The results show that AIGC can improve students' drawing efficiency by more than 50% and increase their creative score by 20%, providing a practical path for teaching reform in design courses.
DOI: 10.54691/trpbgf72
Author: Yan Cui
Institution: Liaoning Communication University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414308997