Abstract: In the context of digital economy and new engineering disciplines, in order to respond to the educational digitalization strategies and solve the problems faced by mathematical modeling competitions, local universities construct intelligent competition resource repositories, implement a“1+1+1”team formation strategy, optimize workflows through human-AI collaboration, and elevate guidance efficiency. Driven by“AI+Education”reforms, a framework emerges: lightweight AI tool chains with hierarchical adaptation, task-driven interdisciplinary collaboration, and dual-track guidance (AI foundations + supervisor advancement). This alleviates resource constraints and fosters a virtuous cycle integrating teaching practice and research innovation.

Key words: Mathematical modeling competition training, Intelligent competition resource repository, Human-AI collaboration, “1+1+1”team formation strategy, Lightweight AI tools, “AI + education”reform