[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-86428-en":3,"doc-seo-86428-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":11},86428,137441390410,"Hazel","https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984",8,"Research & Report","Critsly: An Artefact Aware AI Critique Teammate for Design Education and Project Based Learning","Critsly delivers an artefact-aware AI critique workspace to strengthen design education and project-based learning. It transforms AI feedback from a detached chatbot into a board-context critique teammate by using a persistent visual canvas and structured reflection. The system anchors critique to explicit design intentions, supports Six Thinking Hats-inspired multi-perspective personas, synthesizes board evidence into risks and patterns, and generates actionable plans. Optional peer/jury modes and educator evidence traces track participation and revisions for inspectable learning analytics.","arXiv :2607 .09673v 1 [ cs .CY] 5 Jun 2026  \nCritsly: An Artefact-Aware AI Critique Teammate for Design Education and Project-Based Learning  \nNizam Kadir, Juan David Salazar Rodriguez, and Sumaiyya Ali  \nSingapore University of Technology and Design, Singapore {nizam_kadir, juandavid_salazarrodriguez, [sumaiyya_ali}@mymail.sutd.edu.sg](sumaiyya_ali}@mymail.sutd.edu.sg)  \nAbstract. 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.  \nCritsly 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.  \nKeywords: Educational AI · design education · critique · reflection · project-based learning · learning analytics  \nDemo Link  \n[https://www.youtube.com/watch?v=AbKcspm_hc8](https://www.youtube.com/watch?v=AbKcspm_hc8)  \n1 Motivation  \nDesign education, architecture studio, UX education, and project-based learning rely heavily on critique [1] . Students improve by making their reasoning visible, receiving feedback, interpreting alternatives, and revising their artefacts. Yet critique is difficult to scale. It often happens episodically, depends on who is available, disappears after verbal discussion, and is hard for educators to inspect across a cohort.  \n2 N. Kadir et al.  \nChatbot-based feedback tools can support reflection and writing, but they typically depend on prompt-supplied context rather than persistent board state and artefact structure [2] . In design critique, the artefact matters: sketches, boards, sticky notes, design intentions, annotations, and revision history. Critsly therefore keeps critique attached to the student’s work and uses board context to scaffold reflection rather than only deliver comments.  \nThe AIED contribution is an interactive environment for critique as a humanAI learning process, aligned with the conference theme of moving from tools to teammates. In this setting, AI functions as a critique teammate that helps learners articulate intent, inspect evidence, consider multiple perspectives, and convert feedback into action, while educators retain judgment and receive evidence of critique participation and revision.  \n2 System Presentation  \nCritsly combines a visual canvas, an AI critique panel, structured reflection protocols, persona-based critique, and educator evidence surfaces. Its contribution lies in integrating board-grounded context, reflection scaffolds, perspectivetaking personas, and reusable evidence within one critique workflow.  \nArtefact-aware canvas. Learners work on a board containing design artefacts such as sketches, images, sticky notes, text blocks, links, annotations, and connections. Critique is not separated from the work; the board is the context for conversation and analysis. When critique is requested, Critsly provides a structured board state—design-intention fields, board elements, annotations, links, and recent critique history—rather than only the le","cbCaii6Iy8MQESj3","https://ap.wps.com/l/cbCaii6Iy8MQESj3","pdf",219527,6,1,3,"English","en",105,"# Motivation\n# System Presentation\n## Artefact-aware canvas\n## Design intention anchoring\n## Reflecture guided reflection\n## Six Thinking Hats-inspired personas\n## Board analysis and action planning\n## Peer, jury, and educator evidence\n# Demonstrated Functionality","[{\"question\":\"What problem does Critsly address in design education and project-based learning?\",\"answer\":\"Critique is central but often scarce, uneven, difficult to document, episodic, and hard for educators to inspect across a cohort. Critsly aims to make critique more frequent, structured, and actionable while keeping it connected to evolving artefacts.\"},{\"question\":\"How does Critsly differ from chatbot-based feedback tools?\",\"answer\":\"Critsly grounds critique in a structured board state containing design intentions, board elements, annotations, links, and prior critique history, rather than relying on isolated prompt-supplied text. This keeps feedback attached to the learner’s work and supports scaffolded reflection.\"},{\"question\":\"How does Critsly help learners turn critique into next steps?\",\"answer\":\"Through Reflecture’s guided reflection flow and board analysis, Critsly can synthesize evidence, highlight patterns or risks, and generate action plans. 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Critsly aims to make critique more frequent, structured, and actionable while keeping it connected to evolving artefacts.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How does Critsly differ from chatbot-based feedback tools?",{"text":79,"@type":75},"Critsly grounds critique in a structured board state containing design intentions, board elements, annotations, links, and prior critique history, rather than relying on isolated prompt-supplied text. This keeps feedback attached to the learner’s work and supports scaffolded reflection.",{"name":81,"@type":72,"acceptedAnswer":82},"How does Critsly help learners turn critique into next steps?",{"text":83,"@type":75},"Through Reflecture’s guided reflection flow and board analysis, Critsly can synthesize evidence, highlight patterns or risks, and generate action plans. 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