AI raises the ceiling on problem complexity by reducing access complexity rather than cognitive demand¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? AI shifts what category of problem PBL can engage with by lowering access barriers, expanding access to complex, wicked problems previously beyond students' reach. → Michael Rowe 2026

Evidence¶

Michael Rowe 2026¶

Michael Rowe. (2026). Problem-based learning and the structural conditions for productive AI integration. https://doi.org/10.35542/osf.io/haet3_v1

q1 · i? · theoretical · r3

Conceptual argument (§4): AI lowers the access barriers that kept complex problems out of reach while leaving judgement-layer difficulty intact. The essay distinguishes content complexity, which still needs calibrating, from "access complexity: the logistical and technical barriers to reaching material".

"AI does not simply fit within existing PBL practice. It shifts what category of problem PBL can engage with, and in doing so changes the curriculum question from what problems are manageable to what problems become possible."

Discussion¶

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