Accession Number:

AD0722423

Title:

Trainee and Instructor Task Qualification: Development of Quantitative Indices and a Predictive Methodology

Descriptive Note:

Technical rept. 17 Jul 1969-16 Sep 1970

Corporate Author:

AMERICAN INSTITUTES FOR RESEARCH SILVER SPRING MD

Report Date:

1971-01-01

Pagination or Media Count:

127.0

Abstract:

An exploratory study was undertaken, as part of a program to develop quantitative techniques for prescribing the design and use of training systems. As a first step in this program, the present study attempted to compile an initial set of quantitative indices determine whether these indices could be used to describe a sample of trainee tasks and differentiate among them develop a predictive methodology based upon the indices and assess that methodology using studies in the literature. The compilation included the display-evaluative index, a set of panel lay-out indices, and a set of task rating scales. These indices were applied to task analytic data, collected on sonar operator trainers at Fleet Sonar School, Key West, Florida. Application of the indices proved feasible, and differentiation among three training devices, and within four trainee sub-tasks set-up, detection, localization, classification was possible. The predictive method which was generated was an adaptation of the standard multiple regression model. Mean task scores replaced the usual individual criterion scores, and quantitative task index values were used as predictor scores. This adaptation was tested using data from published studies on tracking. Significant multiple correlations using task indices were found for criterion data obtained during early stages of practice. A combination of task and training indices did predict later performance. This result supported the contention that a prescriptive method must include training as well as task indices in order to account for advanced levels of proficiency.

Subject Categories:

  • Humanities and History

Distribution Statement:

APPROVED FOR PUBLIC RELEASE