AI-built models can help students show conceptual understanding

Claim

AI-assisted modeling can help novice learners show understanding by letting them build, manipulate, question, and revise explanatory models.

Supported by the source article as a learning-design claim.

Don’t Think Vibe Coding. Think Just-in-Time Modeling. supports this claim through its discussion of this is directly relevant to ai literacy, stem learning, computational thinking, and inquiry-based pedagogy because it treats ai as a scaffold for model-building and conceptual testing rather than as a shortcut around understanding.
We could be building a better world with our students. Why are we disempowering them instead? extends this claim from model-building to classifier and data-work projects, arguing that students can show understanding by building, checking, and revising AI-assisted systems tied to disciplinary questions.

Students should use AI-built models as objects for questioning, comparison, and revision, not as automatic explanations.