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Nizam Kadir

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#human-computer interacti... Preprint Sep 2026

TeamLens in Critsly: A Consent-Based Team-Composition Interface and Synthetic Readiness Evaluation for Design Collaboration

This technical report presents TeamLens, an optional Critsly interface for voluntarily sharing a self-reported MBTI type with a particular board, an implemented disclosure-to-aggregation workflow and an auditable technical account of its correctness boundaries, privacy limitations and scaling cost.

Nizam Kadir · 0 citations
#human-computer interacti... Preprint Sep 2026

Critsly and StudioCrit: An Artefact-Aware AI Critique Workspace and Simulation-Based Readiness Study for Design Education

Critique in design education depends on interpreting work in progress, articulating intentions and translating feedback into revisions. This technical report presents Critsly, an artefact-aware AI critique workspace, and StudioCrit, its architecture-studio research mode. Critsly combines a visual board, design-intentio...

Nizam Kadir · 1 citation
#artificial intelligence Preprint Aug 2026

RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty

Simulation-based tutor selection can be unstable when predictively adequate learner models imply different policy rankings. RankCert certifies one of eight equal-budget tutoring policies only when model-averaged utility, probability-best, posterior regret, cross-domain rank, family coverage, and leave-one-domain-out an...

Nizam Kadir · 0 citations
#human-computer interacti... Preprint Sep 2026

Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring

Accountable translation is developed as an analytic framework for making consequential changes attributable, inspectable, scoped in validation, and contestable, and extends HCI accounts of traceability and end-user debugging by locating professional authority and repair rights across heterogeneous technical and organiz...

Nizam Kadir, Wei Ting Liow, Sumbul Khan et al. · 0 citations
Preprint Aug 2026

Auditable Release Control for Pedagogical Leakage in LLM Tutors

These results establish an auditable release boundary and failure attribution under declared contracts, not universal semantic safety or learning gains, not universal semantic safety or learning gains.

Nizam Kadir · 0 citations
Preprint Aug 2026

EduPluginBench: Executable Assurance for AI-Generated Educational Plugins

E EduPluginBench is introduced, an executable benchmark and staged admission method for generated plugins in governed software ecosystems that retains protocols, public-source provenance, raw generations, row-level decisions, audits, analysis code, and reproduction instructions.

Nizam Kadir · 0 citations

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