4 papers
EduPluginBench: Executable Assurance for AI-Generated Educational Plugins
Nizam Kadir
Code-generation models can produce executable components, but compilation and functional tests do not establish compliance with least privilege, telemetry consent, provenance, priv…
Auditable Release Control for Pedagogical Leakage in LLM Tutors
Nizam Kadir
Large language model tutors can be correct and helpful yet disclose an answer or decisive reasoning before that disclosure is authorized. We formalize this state- and action-depend…
From Tools to Teacher-Built Teammates: No-Code Pedagogical Plugin Authoring with LearnAdapt Agentic Studio and PedOS 1.1 Lumina
Nizam Kadir
Teachers and researchers need to adapt educational AI to local goals, but most systems remain difficult to customize or study without coding expertise. We present LearnAdapt Agenti…
Critsly: An Artefact-Aware AI Critique Teammate for Design Education and Project-Based Learning
Nizam Kadir, Juan David Salazar Rodriguez, Sumaiyya Al
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. W…