Tag: 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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Formalizing Machine Pedagogical Intelligence: Announcing AIED 2026 Acceptance of our “ES-LLMs” Architecture
We are thrilled to announce the acceptance of our latest paper at AIED 2026. This research introduces the ES-LLMs architecture, providing the technical validation for “Machine Pedagogical Intelligence” by replacing monolithic “Black Box” models with a rule-governed, highly efficient team of specialized AI tutors.