Trial-by-trial performance rose consistently in the MT-ITS condition while Standard-condition training curves stayed mostly flat¶
Claim · All claims
Evidence · 1 study · causalr1·q3
Currency · newest study 2023 · 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.
q3 i? Linear fits to individual trial-by-trial training data showed most MT-ITS curves significantly increasing while most Standard curves were flat. → Vladimir Zotov & Eric Kramkowski 2023
Evidence¶
Vladimir Zotov & Eric Kramkowski 2023¶
Vladimir Zotov & Eric Kramkowski. (2023). Moving-Target Intelligent Tutoring System for Marksmanship Training. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00308-z
q3 · i? · causal · r1
Trial-level training data (128 trials per Standard participant, 64 per MT-ITS participant, cued trials excluded) were fit per participant and target type to a linear function using SPSS' CURVEFIT. Table 6 slope values show diverse individual trends but predominantly positive significant slopes for MT-ITS.
"Nevertheless, most of the training curves in the MT-ITS condition show significant increasing function while most of the curves in the Standard condition show flat curves."
Discussion¶
Related Claims¶
- MT-ITS training was especially effective for distant (250m) moving targets — related
- DBN analysis shows wind direction and air movement reached the highest posterior mastery probabilities while other skills stayed flat or declined — related
- Behavioral learning curves in a procedural working memory task are better fit by an exponential model than a linear model across five training sessions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
mt-its-training-trials-steady-increase |
title |
Trial-by-trial performance rose consistently in the MT-ITS condition while Standard-condition training curves stayed mostly flat |
description |
Trial-by-trial performance rose consistently in the MT-ITS condition while Standard-condition training curves stayed mostly flat |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — vladimir-zotov-eric-kramkowski-2023 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.