Rachel Koblic

Designing Human-Centered, AI-Forward Learning Systems

I design learning systems that keep people at the center while building AI deep into how they work. Human-centered means the system stays accountable to how people actually learn, and to the judgment and relationships that make teaching matter. AI-forward means intelligence is part of the foundation, not a feature bolted on at the end.

Most of the work is in the structure underneath: making a subject legible enough for a machine to reason about, and defining what mastery actually looks like so a system can tell where a learner is. That's what I write about and prototype here.

The Problem I'm Working On
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.

Recent Thinking
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From the Lab
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I work with institutions, learning companies, and innovators building the future of education.

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