Case-Based Reasoning for Simulation Based Medical Specialist Intelligent Tutoring System

Abstract

In this Phase I SBIR research we proved the feasibility of a software solution to provide intelligent tutoring. Because students often learn best by example, we designed a tutoring system around example problems. Because Army training typically involves the use of simulations, we represent these example problems as scenarios which simulations utilize. The student performance with the simulation becomes his attempt at solving the example problem represented by the scenario. We applied the Artificial Intelligence (AI) technique of Case-Based Reasoning (CBR) to capture and represent the example problems (or cases) and provide explanations to students on problem solving techniques. The system is sensitive to a student's knowledge of problem solving principles and his performance and tailors teaching sessions accordingly. The body of knowledge contained in the system can be expanded over time simply through addition of more problems. Case-based reasoning, Intelligent tutoring, Student diagnosis, Learning, Automatic knowledge acquisition, Artificial intelligence, Retrieval, Simulation.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1994
Accession Number
ADA280479

Entities

People

  • Richard Stottler
  • Timothy Maher

Organizations

  • Stottler Henke Associates

Tags

DTIC Thesaurus Topics

  • Airway Management
  • Anatomy
  • Army Training
  • Artificial Intelligence
  • Defibrillation
  • Education
  • Instructors
  • Materials
  • Models
  • Physiology
  • Reasoning
  • Recognition
  • Simulations
  • Standards
  • Students
  • Thoracic Injuries
  • Training

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML