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cs.CY2026

LearnAdapt Praxis: Controlled AI Assistance and Evidence Traces for Adult Workplace Learning

Nizam Kadir

AI can help adults produce plausible workplace artefacts while leaving their independent reasoning difficult to inspect. LearnAdapt Praxis addresses this design problem through a f…

cs.CY2026

CALLIOPE: A Source-Grounded Oral Assessment System and Synthetic Readiness Evaluation

Nizam Kadir

Oral assessment with generative AI requires more than a conversational interface: educators must connect a spoken response to its source material, scoring criteria, model outputs a…

cs.CY2026

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

Nizam Kadir

Discussing working preferences may support reflection within a design team, but a personality label should not become a performance prediction or a condition of participation. This…

cs.CY2026

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…

cs.CY2026

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…

cs.CY2026

From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring

Nizam Kadir

Monolithic Large Language Models (LLMs) used in educational dialogue often behave as "black boxes," where pedagogical decisions are implicit and difficult to audit, frequently viol…