Cognitive Factors in Automated Instruction for Individuals and Groups.

Abstract

Training protocols for complex skills were designed and tested employing video game-like representative analogues of complex skills, which are emerging as powerful tools for understanding the cognitive processes involved in acquiring complex skills. Separate experiments examined attention control, interaction anxiety, observational learning, intersession spacing, competition, and discussion during intersession intervals. Articles related to these experiments have been published, submitted for publication, or prepared for publication. The data have also been stored as SAS files for future analyses by interested scientists. A theme for future analyses will be treating the separate experiments as converging operations for testing theories of automatic and controlled processes during the acquisition and performance of complex skills. Initial steps in this analysis have suggested a theory of explicit and implicit learning ensembles during a novice's acquisition that are paralleled by orchestrated automatic and control processes during an expert's performance. This theory will be formally presented in an invited contribution to the Attention and Performance Conference XVII. The contribution will also consider these empirical and theoretical analyses from the points of view of researchers and practitioners as an integrated; foundation for understanding and improving training protocols for computer-based training of individuals and groups.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 12, 1995
Accession Number
ADA294383

Entities

People

  • Wayne Shebilske

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Automatic
  • Classification
  • Cognition
  • Computer-Aided Instruction
  • Computers
  • Human-Machine Systems
  • Instructions
  • Learning
  • Monitoring
  • Optical Scanning
  • Psychology
  • Security
  • Training
  • Video Games

Readers

  • Academic Conference Management
  • Artificial Intelligence
  • Instructional Design and Training Evaluation.

Technology Areas

  • Space