用图形化协作空间让教师与AI共同设计项目式学习，提升创意表达。
Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning
- 构建图结构共享工作区，支持双模态AI协同设计
- 30位教师实验显示设计表达与发散思维显著提升
- 适合教育工作者和教学设计者使用
设计项目式学习（PBL）需要管理高度依赖的多个组件，传统线性工具和纯对话式AI均难以应对。前者无法体现创意设计的非线性特征，后者缺乏持久共享的上下文支持反思性协作。基于分布式认知理论，我们提出CoMAP系统，采用图结构协作范式，通过双模态AI支持的共享视觉工作区，将人机关系从指令-响应循环转变为透明、平等的合作模式。对30位教育工作者的研究表明，相比仅对话的基线，CoMAP显著提升了教师的设计表达能力、发散思维与迭代实践水平。结果证明，非线性、以成果为中心的方法能增强信任感、降低认知负荷，并帮助教育者掌控创作过程。相关贡献详见：https://comap2025.github.io/。
原文摘要 · Abstract (English)
Designing project-based learning (PBL) demands managing highly interdependent components, a task that both traditional linear tools and purely conversational AI struggle with. Traditional tools fail to capture the non-linear nature of creative design, while conversational systems lack the persistent, shared context necessary for reflective collaboration. Grounded in theories of distributed cognition, we introduce CoMAP, a system that embodies a graph-based collaboration paradigm. By providing a shared visual workspace with dual-modality AI support, CoMAP transforms the human-AI relationship from a prompt-and-response loop into a transparent and equitable partnership. Our study with 30 educators shows CoMAP significantly improves teachers' design expression, divergent thinking, and iterative practice compared to a dialogue-only baseline. These findings demonstrate how a nonlinear, artifact-centric approach can foster trust, reduce cognitive load, and \textcolor{fix}{support} educators to take control of their creative process. Our contributions are available at: https://comap2025.github.io/.
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