Qualitative Simulation and Intelligent Tutoring Aids for Training in the Operation of Complex Dynamic Systems

Abstract

Supervisory control operators of complex dynamic systems must possess thorough knowledge of the systems, and skills to apply this knowledge to maintain system operation. Use of intelligent tutoring systems (ITS) can be economical for training such operators. An ITS can help organize system knowledge and operational information and also provide practice to develop appropriate skills. The ITS is comprised of a simulated power plant, the tutor, and mouse-based direct manipulation graphical interfaces. The ITS was experimentally evaluated using Naval ROTC cadets as subjects under three training conditions: (1) simulator only, (2) a passive tutor that provided help upon request and without intervention, and (3) an active tutor with intervention. Performance in all three conditions was analyzed in identical data collection sessions. Performance measures such as percentage of premature and correct diagnosis of relevant and irrelevant diagnostic test were used. Experimental results show that a simulator alone is inadequate, whereas a simulator in conjunction with an ITS can help develop efficient trouble shooting skills. However, not all students are equally receptive to every tutoring strategy and provisions must be made in training programs for individual preferences and differences in abilities and styles.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 1991
Accession Number
ADA233006

Entities

People

  • T. Govindaraj
  • Vijay Vasandani

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Autonomous Systems
  • Cognitive Science
  • Cognitive Systems Engineering
  • Complex Systems
  • Control Systems
  • Engineering
  • Engineers
  • Failure Mode And Effect Analysis
  • Human-Machine Systems
  • Instructors
  • Materials
  • Military Research
  • Simulations
  • Students
  • Supervisory Control
  • Systems Engineering
  • Training

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.