Predicting Student Performance in a Computer-Managed Course Using Measures of Cognitive Styles, Abilities, and Aptitudes.

Abstract

Measures of cognitive styles, abilities, and aptitudes from a sample of 166 Basic Electricity and Electronics School graduates were analyzed to determine if they were predictive of student achievement and times to complete instructional modules. It was found that the cognitive characteristics can be used to predict student performance. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA074880

Entities

People

  • David B. Landis
  • Pat-anthony Federico

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Biological Sciences
  • Cognition
  • Education
  • Electricity
  • Human Resources
  • Information Processing
  • Instructional Materials
  • Military Personnel
  • Military Research
  • Psychology
  • Reasoning
  • Regression Analysis
  • Students
  • Test And Evaluation
  • Training

Fields of Study

  • Education

Readers

  • Instructional Design and Training Evaluation.

Technology Areas

  • Microelectronics