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cs.HC2026
Critsly and StudioCrit: An Artefact-Aware AI Critique Workspace and Simulation-Based Readiness Study for Design Education
Nizam Kadir
Critique in design education depends on interpreting work in progress, articulating intentions and translating feedback into revisions. This technical report presents Critsly, an a…
cs.HC2026
Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring
Nizam Kadir, Wei Ting Liow, Sumbul Khan +1
Natural-language app builders let domain experts create software, but their pipelines transform professional intent across compilation, generation, checking, and approval. We repor…
cs.HC2026
From Misconceptions to Evidence: What Science Teachers Make Visible When Co-Designing Agentic Learning Apps
Nizam Kadir, Wei Ting Liow, Sumbul Khan +1
Science educators increasingly encounter AI tools that generate content, yet disciplinary teaching depends on eliciting learners' models, diagnosing misconceptions, interpreting ev…