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Nizam Kadir | Machine Pedagogical Intelligence & AI in Education

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Tag: LRS

LearnAdapt PedOS Plugins: From Prompt to Production in a Safe Educational AI Ecosystem

May 6, 2026

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by

Nizam Kadir

in * Artificial Intelligence in Education (AIEd) *, Adaptive Learning, Artificial Intelligence in Education (AIEd), EdTech, Educational Technology, Generative AI, LearnAdapt, Learning Analytics, Learning Engineering, Pedagogical Operating System, Responsible AI

The LearnAdapt PedOS Plugin Lifecycle shows how educational AI plugins can move safely from prompt to production through artefact generation, human review, automated security checks, sandboxed previews, telemetry gating, and versioned publishing. It is a step towards a trusted Pedagogical Operating System where educators, researchers, and developers can co-create AI-powered learning tools without compromising safety,…

Nizam Kadir | Machine Pedagogical Intelligence & AI in Education

Doctoral researcher at SUTD (Science, Mathematics and Technology-SMT) working at the intersection of AI pedagogy, learner modelling, and multi-agent LLM orchestration. Research focuses on Machine Pedagogical Intelligence and AI in Education.

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