An AI-Powered Project Incubation Teaching Model in the Course Engineering Construction Technology and Organization for College Student Innovation and Entrepreneurship Training Programs

Abstract

Currently, universities commonly encounter difficulties in topic selection, insufficient innovation points, and weak research design when cultivating College Student Innovation and Entrepreneurship Training Programs (hereinafter referred to as CSIE-Training Programs). The course “Construction Engineering Technology and Organisation” possesses a variety of engineering scenarios. But factors such as traditional teaching content out of touch with industry frontiers, teaching resources lacking complexity, and assessments overly focused on theory constrain the cultivation of innovative capabilities. Therefore, this study constructed an AI-powered teaching model for incubating major innovation projects, utilising large language models (LLMs) to support students’ innovative exploration across three tiers: identifying engineering pain points, generating innovative solutions, and incubating project proposals. Simultaneously, systematic reforms were implemented across four key areas: curriculum content restructuring, resource repository development, embedded innovative teaching methodologies, and multi-dimensional assessment frameworks. The teaching model proposed in this study effectively enhances students’ abilities in problem identification, solution design, and project presentation. It facilitates the transformation of courses from knowledge transmission to the cultivation of innovative capabilities, providing a replicable pathway for AI-empowered innovation talent development within engineering education.