Category: Generative AI
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Correct Is Not the Same as Learned
AI tutors can help students reach the right answer faster, but correctness alone does not prove durable understanding. As AI becomes more embedded in education, we need to ask whether learners are truly building mastery, or simply performing well with assistance. The future of educational AI should not just optimise for immediate success, but for…
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LearnAdapt PedOS Plugins: From Prompt to Production in a Safe Educational AI Ecosystem
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,…
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Beyond the Monolith: Why the Future of AI Tutors Requires Specialized Ensembles (And a Pedagogical OS)
The era of the single, monolithic AI tutor is failing. Discover how Ensembles of Specialized LLMs (ES-LLMs) and the newly evolved LearnAdapt platform are creating the safe, governed ecosystems required for the next wave of machine pedagogical intelligence.
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Beyond the Black Box: Introducing the EODD (Explicit Orchestrated Decision Design) Framework for AI Orchestration
Monolithic AI models are failing in high-stakes environments. Discover the EODD Framework: a 7-step, domain-agnostic blueprint for multi-agent orchestration and human-in-the-loop AI.
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The Ouroboros Moment: Why Claude Writing Itself Marks the End of “Coding” as We Know It
Is this the end of human coding? Anthropic’s Boris Cherny admits he hasn’t typed code in a month while building the new Claude Code tool. We analyze how agentic AI is shifting the developer’s role from writing syntax to orchestrating products.