AI in instructional design

What it is

Advisory and design work for teams building learning products that use AI, and for institutions deciding how to use the tools they already have. The constraint that runs through all of it: an AI tool built for learning has to require the thinking, not perform it.

What you get

A review of what a product does to the learner's reasoning, not just what it does to their output. Design recommendations that are testable. Where needed, the study design to check whether the gains a product reports are real, with the evidence standard set before the data comes in.

Who it is for

Edtech product teams, publishers adding AI features to existing material, and district or county offices writing the guidance their schools will run on. Adult learners and adolescents should not be handed the same assistant, and the work is scoped to which one you are building for.

How it usually runs

Start with the product or policy as it stands and the learner it is meant for. Name the cognitive work it should require and check whether it does. Recommend, then measure. I ran two years of formal research on an AI practice platform before I trusted its numbers, and that is the standard the work is held to.