AI 中文总结
研究针对设计教育和基于项目学习中高质量批判稀缺等问题，提出Critsly这一人工制品感知的人工智能批判工作区，结合多种功能，将AI变为批判队友，为学习者和教育者提供更优批判实例。
AI 中文摘要
批判在设计教育和基于项目的学习中至关重要，但高质量的批判往往稀缺、不均衡、难以记录且与不断演变的人工制品脱节。我们展示了Critsly，一个人工制品感知的人工智能批判工作区，它将人工智能从一个独立的反馈工具转变为学习者情境中的批判队友。Critsly结合了视觉设计画布与结构化的人工智能支持的反思、多视角批判、行动计划、可选的同伴/评审设置以及教育者证据追踪。与依赖孤立文本提示的聊天机器人反馈工具不同，Critsly将批判建立在包含设计意图、看板元素、注释、链接和先前批判历史的结构化看板状态之上。Critsly的引导式反思流程Reflecture在一个工作流程中与受六顶思考帽启发的角色、看板综合、生成的行动计划、可导出的批判记录以及教育者证据视图协同工作。演示展示了一个学习者从设计意图到看板感知批判以及基于角色评估、行动计划生成和面向教育者的证据的过程。Critsly提供了一个人工智能支持的批判的实例，对学习者和教育者来说更频繁、结构化、可检查且可操作。
英文摘要
Critique is central to design education and project-based learning, yet high-quality critique is often scarce, uneven, hard to document, and disconnected from evolving artefacts. We present Critsly, an artefact-aware AI critique workspace that turns AI from a detached feedback tool into a critique teammate in the learner's board context. Critsly combines a visual design canvas with structured AI-supported reflection, multi-perspective critique, action planning, optional peer/jury settings, and educator evidence traces. Unlike chatbot feedback tools that rely on isolated text prompts, Critsly grounds critique in a structured board state containing design intentions, board elements, annotations, links, and prior critique history. Reflecture, Critsly's guided reflection flow, works with Six Thinking Hats-inspired personas, board synthesis, generated action plans, exportable critique records, and educator evidence views in one workflow. The demo follows a learner from design intention to board-aware critique, persona-based evaluation, action-plan generation, and educator-facing evidence. Critsly contributes a working example of AI-supported critique that is more frequent, structured, inspectable, and actionable for learners and educators.
Comments3 pages, Accepted submission to the 27th International Conference on Artificial Intelligence in Education Interactive Events Track
