Adaptive Decision Aiding in Computer-Assisted Instruction: Adaptive Computerized Training System (ACTS)

Abstract

This report describes the results of the first year's effort of a 3- year program to develop and evaluate a new Adaptive Computerized Training System (ACTS). This combines principles of artificial intelligence, decision theory, and adaptive techniques for teaching the procedures necessary to troubleshoot electronic circuits. ACTS emphasizes the realistic simulation of maintenance problems and focuses on enhancing the acquisition of decision-making skills which underlie successful electronic troubleshooting performance. The ACTS tracks a student's diagnostic and decision value structures, compares them to that of an expert, provides individualized feedback and help, and structures subsequent learning experiences. It is designated to facilitate transfer of these skills to an actual military environment. Preliminary studies indicate that the ACTS does not teach students to make more effective decisions troubleshooting electronic equipment. A large-scale study to further evaluate the training potential of the ACTS is planned for the second year, as well as to assess transfer to actual equipment following training with the ACTS.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA102865

Entities

People

  • Amos Freedy
  • Denis Purcell
  • Luigi Lucaccini
  • Rosemarie Hopf-weichel

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programs
  • Computers
  • Current Limiters
  • Educational Technology
  • Electronic Circuits
  • Electronic Equipment
  • Failure Mode And Effect Analysis
  • Instructors
  • Military Training
  • Pilot Studies
  • Power Supplies
  • Social Sciences
  • Students
  • Test Equipment
  • Trainees
  • Training

Readers

  • Aerospace Test and Evaluation
  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • Microelectronics