Tag: Bayesian Knowledge Tracing
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The ES-LLMs Public Sandbox Is Now Live: From Untamed Black Box to Interpretable Pedagogical Orchestration
The ES-LLMs public sandbox is now live. This architecture moves beyond black-box LLM tutors by introducing a deterministic, multi-agent orchestration layer that enforces pedagogical constraints, improves interpretability, and enhances learning outcomes. Discover how structured AI systems can transform adaptive tutoring from opaque responses into auditable, trustworthy educational experiences.
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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.