Determinants of Rifle Marksmanship Performance: Predicting Shooting Performance with Advanced Distributed Learning Assessments
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2004
- Accession Number
- ADA453871
Entities
People
- Adriana A. De Souza E Silva
- Eva L. Baker
- Girlie C. De La Cruz
- Gregory K. Chung
- Jin-ok Kim
- Linda F. De Vries
- Roxanne M. Sylvester
- William L. Bewley
Organizations
- University of California, Los Angeles