Task-level account of upskilling and the Triad of Skill Failure (deskilling, never-skilling, mis-skilling) with differing empirical support¶
Claim · All claims
Evidence · 1 study (2 entries) · theoreticalr2·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? Upskilling occurs when a learner engages tasks at the appropriate subzone, task-specific knowledge accumulates, and tasks migrate toward subzones of greater independence. → Tsim 2026
q1 i? The triad comprises deskilling (regression through disuse), never-skilling (failure to acquire a competency that should have formed), and mis-skilling (acquisition of a flawed competency presenting as genuine learning), best understood at the task level rather than cohort-wide. → Tsim 2026 (2)
Evidence¶
Tsim 2026¶
Tsim, F., Gutoreva, A., Weiss, A., & Dubosh, N. (2026). AI as Teammate: Rethinking Task Distribution in Medical Training. Correspondence: [email protected]. https://arxiv.org/abs/2608.28373 doi:10.48550/arxiv.2608.28373
q1 · i? · theoretical · r2
Theoretical argument in Section 3.3 framing routine clinical tasks as subzone-migration opportunities governed by three metacognitive components: monitoring determines subzone position, control operates retrospectively, and learning drives migration over time.
"Upskilling, according to SCAN, occurs when (1) a learner identifies, and thus engages, a task at the appropriate subzone; (2) learner's task-specific knowledge accumulates; and (3) the task migrates toward subzones with greater independence over time."
Tsim 2026 (2)¶
Tsim, F., Gutoreva, A., Weiss, A., & Dubosh, N. (2026). AI as Teammate: Rethinking Task Distribution in Medical Training. Correspondence: [email protected]. https://arxiv.org/abs/2608.28373. doi:10.48550/arxiv.2608.28373
q1 · i? · theoretical · r2
Theoretical argument defining the three failure modes and mapping each onto distinct SCAN pathways (Figure 2, Table 2). Table 2 notes deskilling has direct clinical evidence, never-skilling is a conceptual risk model only, and mis-skilling has direct RCT evidence per the cited works.
"Deskilling is a regression through disuse (Budzyń et al., 2025). Never-skilling is a failure to acquire a competency that should have formed in the first place (Ke et al., 2026). Mis-skilling is the acquisition of a flawed competency that presents as genuine learning (Teng et al., 2026)."
Discussion¶
Related Claims¶
- Learner AI over-reliance is reframed as misclassification: a failure of real-time metacognitive evaluation with two distinct pathways — a narrower finding that bears on this claim
- Passive engagement within correctly classified Aid tasks is a detection-resistant mis-skilling pathway requiring expert epistemic auditing — a narrower finding that bears on this claim
- The convenience and low opportunity cost of LLMs poses a risk of over-reliance, deskilling, and reduced judgment competence when learners outsource tasks that are essential learning opportunities. — related
- Procedural knowledge engaged through applying tasks is hypothesized to function as a cognitive bridge between domain-specific reasoning processes, pending empirical validation — related
- Engagement mode is orthogonal to instructional task: any task can be engaged at any of the four modes — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
triad-of-skill-failure-task-level |
title |
Task-level account of upskilling and the Triad of Skill Failure (deskilling, never-skilling, mis-skilling) with differing empirical support |
description |
Task-level account of upskilling and the Triad of Skill Failure (deskilling, never-skilling, mis-skilling) with differing empirical support |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — tsim-2026, tsim-2026-2 |
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