Determinants of Rifle Marksmanship Performance: Predicting Shooting Performance with Advanced Distributed Learning Assessments

Determinants of Rifle Marksmanship Performance: Predicting Shooting Performance with Advanced Distributed Learning Assessments
Author:
Publisher:
Total Pages: 293
Release: 2004
Genre:
ISBN:

The UCLA National Center for Research on Evaluation, Standards, and Student Testing (CRESST) conducted research on assessment models and tools designed to support Naval distance learning (DL), with application to USMC marksmanship training. CRESST examined the role of cognitive and non-cognitive variables in the prediction of rifle marksmanship performance in a series of studies. The evidence suggests a knowledge component to shooting performance, and differences in knowledge of rifle marksmanship between participants' pre-classroom training and post-classroom training, between more experienced participants and less experienced participants, between high performers and low performers, and between higher aptitude and lower aptitude participants. Knowledge measures can predict record-fire scores moderately in less experienced samples, and when combined with other variables within the stages-of-skill-processing framework, can predict record-fire scores as well as scores from a rifle simulator.

Predicting Rifle and Pistol Marksmanship Performance with Laser Marksmanship Training System

Predicting Rifle and Pistol Marksmanship Performance with Laser Marksmanship Training System
Author: Monte D. Smith
Publisher:
Total Pages: 28
Release: 2000
Genre: Laser beams
ISBN:

"To develop an LMTS-based tool for predicting small arms, live-fire marksmanship qualification performance, Idaho Reserve Component (RC) soldiers fired for qualification on LMTS and on the live-fire range with either the M16A2 rifle (N =95) or M9 pistol (N =81). A statistically significant relation between LMTS and live-fire qualification scores was found and validated for both rifle (r = .55) and pistol (r = .47) and then used to develop weapon-specific tools for RC trainers to use in predicting the probability of individual soldier, first-run, live-fire, rifle and pistol qualification based on scores fired on LMTS. Use of these prediction tools will enable RC marksmanship trainers to schedule LMTS-based training more efficiently by targeting only those soldiers in need of remediation (i.e., those predicted to be unlikely live-fire qualifiers), as well as to identify when enough training has been provided (i.e., when the predicted likelihood of live-fire qualification is good). These tools also provide the RC unit commander with a set of LMTS-based, empirically derived live-fire performance standards to support (a) implementation of a competency-based rifle, as well as pistol, sustainment training program of instruction using LMTS, and (b) use of LMTS-based qualification firing in place of live-fire qualification firing when outdoor range facilities are not readily available."--DTIC.

Predicting Rifle and Pistol Marksmanship Performance With the Laser Marksmanship Training System

Predicting Rifle and Pistol Marksmanship Performance With the Laser Marksmanship Training System
Author: Monte D. Smith
Publisher:
Total Pages: 22
Release: 2000
Genre:
ISBN:

To develop an LMTS-based tool for predicting small arms, live-fire marksmanship qualification performance, Idaho Reserve Component (RC) soldiers fired for qualification on LMTS and on the live-fire range with either the M16A2 rifle (N =95) or M9 pistol (N =81). A statistically significant relation between LMTS and live-fire qualification scores was found and validated for both rifle (r = .55) and pistol (r = .47) and then used to develop weapon-specific tools for RC trainers to use in predicting the probability of individual soldier, first-run, live-fire, rifle and pistol qualification based on scores fired on LMTS. Use of these prediction tools will enable RC marksmanship trainers to schedule LMTS-based training more efficiently by targeting only those soldiers in need of remediation (i.e., those predicted to be unlikely live-fire qualifiers), as well as to identify when enough training has been provided (i.e., when the predicted likelihood of live-fire qualification is good). These tools also provide the RC unit commander with a set of LMTS-based, empirically derived live-fire performance standards to support (a) implementation of a competency-based rifle, as well as pistol, sustainment training program of instruction using LMTS, and (b) use of LMTS-based qualification firing in place of live-fire qualification firing when outdoor range facilities are not readily available.

Bibliography of Publications

Bibliography of Publications
Author: George Washington University. Human Resources Research Office
Publisher:
Total Pages: 42
Release: 1965
Genre: Military art and science
ISBN:

Basic Rifle Marksmanship Training with the Laser Marksmanship Training System

Basic Rifle Marksmanship Training with the Laser Marksmanship Training System
Author: Joseph D. Hagman
Publisher:
Total Pages: 28
Release: 2000
Genre: Laser beams
ISBN:

"This research compared the relative impact of two approaches for training Basic Rifle Marksmanship (BRM). One hundred and eighty four One-Station Unit Training (OSUT) infantry trainees (i.e., the experimental group) trained under a U.S. Army Reserve (USAR)-developed, device-based (i.e., the Beamhit Laser Marksmanship Training System LMTS) approach, and 202 infantry trainees (i.e., the control group) trained under the standard U.S. Army Infantry School BRM program of instruction. Results revealed that the experimental group outperformed the control group on shot grouping, weapon zeroing, and known-distance firing. No between-group differences were found, however, for record fire qualification scores or for performance during pop-up target engagement practice periods leading up to qualification. The implications of these findings for initial marksmanship training are discussed along with plans for follow-up USAR-sponsored research to assess (a) the impact of LMTS-based training on sustainment performance, and (b) the feasibility of using LMTS-based performance to predict live-fire qualification scores."--Stinet.