Cognitive Psychology Principles for Digital Systems Training

Abstract

As the Army transitions to modern digital technology it faces a major challenge in designing computer-implemented training to support the acquisition, retention, and transfer of skills required to operate these systems. This report describes principles of cognitive psychology and related training techniques that can be incorporated into the design of computer-implemented training. While modern computers and the Internet offer technically advanced capabilities, the training potential of these systems comes from their ability to vary instructional methods and media systematically according to the cognitive demands of the tasks to be trained. The research described in this report builds on previous ARI skill retention research accomplished with the Army's Inter-Vehicular Information System (IVIS), where it was noted that a number of cognitive psychology principles might be applied to modify training to enhance skill retention. The products of this research are a set of cognitive psychology principles and related training techniques summarized in tabular form, and an outline for a training program structure. Examples of prototype training materials demonstrating the implementation of the cognitive training techniques are provided.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2001
Accession Number
ADA391035

Entities

People

  • William R. Sanders

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Application Software
  • Applied Psychology
  • Army Personnel
  • Computers
  • Digital Information
  • Education
  • Educational Technology
  • Information Systems
  • Instructors
  • Materials
  • Personnel Management
  • Psychological Theory
  • Psychology
  • Social Sciences
  • Students
  • Task Performance And Analysis
  • Training

Readers

  • Artificial Intelligence
  • Occupational Health and Safety.
  • Systems Analysis and Design