How Should AI Be Designed Into the Learning Experience?

Start with the learning goal and the learning process — not the AI feature. The knowledge base's Pedagogies and Teaching Strategies concept emphasizes that the same AI can function as a scaffold, Socratic interlocutor, feedback partner, simulation, or answer generator depending on the instructional design. What matters is whether the configuration preserves the activity that produces the intended learning.

A strong default pattern

A strong default pattern is: learner attempts → AI supports → learner evaluates or revises → learner demonstrates understanding. More concretely:

• Preserve productive struggle where it serves learning.
• Ask for an initial prediction or solution before displaying AI assistance.
• Favor questions, hints, examples, counterarguments, and feedback over immediate completion.
• Require verification of consequential claims.
• Incorporate opportunities for explanation and teach-back.
• Gradually fade support as competence grows.
• Retain some AI-free opportunities for learners to calibrate what they can do independently.

The Reducing AI Misuse synthesis specifically recommends think-first/AI-second/reflect sequences and deliberate evaluation checkpoints.

The broader principle

The broader principle in the Principled AI Education Framework is that technology should augment rather than displace human capabilities that education intends to develop. See also Instructional Design and Scaffolding.