Simulator-based VET instruction in this study centres on volume training of routine tasks rather than rehearsing specific high-stakes, risky situations.¶
Claim · All claims
Evidence · 1 study · qualitativer2·q2
Currency · newest study 2025 · 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.
q2 i? Instructional processes in this VET context involve designing activities aimed at volume training rather than handling specific high-stakes and risky situations. → Giulia Messina Dahlberg · Susanne Gustavsson 2025
Evidence¶
Giulia Messina Dahlberg · Susanne Gustavsson 2025¶
Giulia Messina Dahlberg · Susanne Gustavsson. (2025). Keeping worlds apart to put them back together: VET teachers' instructional patterns in simulation-based training. Instructional Science. https://doi.org/10.1007/s11251-025-09714-x
q2 · i? · qualitative · r2
The authors' interpretive claim from the abstract of an ethnographic study of simulator-based training in the Natural Resource Program, based on observations, video recordings, and fieldnotes. The study reports that "the instructional processes seem to involve, rather than handling specific high-stakes and risky situations, the design of activities that aim at volume training".
"the instructional processes seem to involve, rather than handling specific high-stakes and risky situations, the design of activities that aim at volume training"
Discussion¶
Related Claims¶
- VET teachers use the real machine as the benchmark of legitimacy for simulator instruction and shift between teacher and future-colleague positions. — related
- Students in simulator training encounter a progression from simplified low-fidelity tasks to more complex higher-fidelity tasks as a deliberate instructional logic. — related
- Students reconstruct authentic work practices in the simulator even when the simulation has removed the relevant environmental elements. — related
- In one qualitative interview study, science teachers report that AI tools let students experience risky or inaccessible phenomena and practise virtually before real lab work — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
vet-simulator-instruction-volume-training-not-high-stakes |
title |
Simulator-based VET instruction in this study centres on volume training of routine tasks rather than rehearsing specific high-stakes, risky situations. |
description |
Simulator-based VET instruction in this study centres on volume training of routine tasks rather than rehearsing specific high-stakes, risky situations. |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — giulia-messina-dahlberg-susanne-gustavsson-2025 |
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