Modeling Individual Differences in Programming Skill Acquisition

Abstract

This paper investigates individual differences in learning Pascal programming skills using an intelligent tutoring system for learning criterion task. Data were collected from 260 subjects in the following categories: (a) incoming general and domain-specific knowledge; (b) cognitive ability measures (working memory capacity and information processing speed); (c) learning process measures (declarative and procedural); (d) transfer measures (retention, application, and generalization). Casual models of learning were tested linking incoming knowledge and abilities to learn processes and transfer. Finding showed that a large proportion (86%) of the learning criterion variance(transfer) was accounted for by just three factors: Working-memory capacity, domain-specific knowledge, and declarative-learning efficiency. Certain learning behaviors were also investigated in relation to transfer. Some influenced transfer performance early in the tutor while others had more impact later on. Implications of these finding are discussed in relation to individual differences research as well as to intelligent tutoring system design issues. (kr)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA229816

Entities

People

  • Patrick C. Kyllonen
  • Valerie J. Shute

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Facilities
  • Cognition
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Efficiency
  • Factor Analysis
  • Governments
  • Human Resources
  • Information Processing
  • Psychology
  • Reaction Time
  • Reasoning
  • Students

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.