Engagement remains an observable and evidential proxy for learning that AI has not broken, though it is not invulnerable¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? Engagement is harder to decouple from underlying learning than artefact production is, though it has its own Goodhart dynamic and can be performed. → 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: engagement is defined as the observable cognitive and social processes through which students interact with problems, peers, and material, visible in tutorial discussions and reasoning over time. The essay concedes "Engagement has its own Goodhart dynamic".
"The proxy we should have been prioritising is engagement. It remains observable and has not been broken by AI."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
engagement-surviving-proxy |
title |
Engagement remains an observable and evidential proxy for learning that AI has not broken, though it is not invulnerable |
description |
Engagement remains an observable and evidential proxy for learning that AI has not broken, though it is not invulnerable |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — michael-rowe-2026 |
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