Rachel Koblic
Designing the Logic Layer for AI-Era Learning
I work on the invisible structures that connect learning science to intelligent systems—so machines can reason about pedagogy, and people can learn more thoughtfully alongside AI.
I call this the logic layer: the connective tissue between human learning intent and machine intelligence.
Learning has been designed for humans to interpret—not for AI systems to reason about pedagogy.
When we drop materials written for humans into machines in hopes that intelligence will emerge... it doesn't.
Learning in the AI era requires pedagogy to be explicit—designed so intelligent systems can reason with it, not just perform around it.
From Model to Mentor: Embedding Cognitive Apprenticeship in AI Agent Prompts
A chapter in The Pedagogical Promptbook on designing—and rigorously evaluating—an AI tutor that teaches the way expert mentors do.
The Win Condition Problem
Why specifying what learning looks like is harder than it seems.
Designing for the Machine Learner
A new frame for learning design in the age of artificial intelligence.
Synthetic Learner Generator
A tool for generating realistic synthetic learner personas to stress-test AI tutoring systems against the diversity of real students.
experiment
Learn by Graph
A hands-on exploration of building knowledge graphs for education—what they are, how to construct them, and what they make possible.
experimentLet's talk
I work with institutions, learning companies, and innovators building the future of education.
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