12 papers
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…
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…
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…
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…
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…
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…
RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty
Nizam Kadir
Simulation-based tutor selection can be unstable when predictively adequate learner models imply different policy rankings. RankCert certifies one of eight equal-budget tutoring po…
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…
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…