Claims

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) · theoretical r2 · 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

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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