GIFT serves as a testbed for developing and validating expert models for psychomotor tasks such as rifle marksmanship¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2017 · 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? GIFT was used to develop an adaptive rifle marksmanship tutor linked to a simulation environment, collect expert learner data, and build an expert model against which learner performance can be compared. → Robert A. Sottilare 2017
Evidence¶
Robert A. Sottilare 2017¶
Robert A. Sottilare, Ryan S. Baker, Arthur C. Graesser, & James C. Lester. (2017). Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-017-0149-9
q2 · i? · design · r2
The preface describes Goldberg et al.'s (2017) proof-of-concept use of GIFT as a testbed for marksmanship. Expert data collected through the testbed "was used to build an expert model which could subsequently be used to compare learner and expert performance." No effect sizes or sample statistics are printed in this preface.
"GIFT was used to develop an adaptive tutor and a gateway to link adaptive instructional best practices with an evolving marksmanship simulation environment. The resulting GIFT-based tutoring testbed was used to present rifle marksmanship tasks and collect learner data from a set of experts."
Discussion¶
Related Claims¶
- Cross-fold validation supports generalized expert models of marksmanship behavior across firing conditions and behavioral measures — a narrower finding that bears on this claim
- Stance, barrel movement, and trigger control significantly predict individual shot performance, accounting for approximately 20% of variance — a narrower finding that bears on this claim
- Expert trigger-control behavior diverges from Army training doctrine, showing slack removal with an extended pause at the breakpoint — related
- Kneeling stance produces worse shot-group performance on average than prone stance among expert marksmen — related
- ITS for psychomotor skills cluster in medicine, with sport second and other domains marginal — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
gift-testbed-psychomotor-expert-models |
title |
GIFT serves as a testbed for developing and validating expert models for psychomotor tasks such as rifle marksmanship |
description |
GIFT serves as a testbed for developing and validating expert models for psychomotor tasks such as rifle marksmanship |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2017 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — robert-a-sottilare-2017 |
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