Problem Solving and Learning in a Natural Task Domain

Abstract

Based on work done in Year 1 of the contract analyzing protocols of students solving diagnostic problems, work in Year 2 of the contract has taken two directions: the creation of AI simulation models to explain several of the learning processes used by students and the creation of an experimental tool and formulation of experiments to find out more about how people learn during problem solving and instruction. This report is divided into two sections. In the first section, the experimental tool and experiments are discussed. In section two, beginning on page 27, some of the AI simulation models are presented.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA222293

Entities

People

  • Janet Kolodner
  • Lawrence Barsalou

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Computer Programming
  • Computer Science
  • Computers
  • Fuel Systems
  • Ignition
  • Ignition Systems
  • Instructors
  • Internal Combustion Engines
  • Machine Learning
  • Materials
  • Mechanics
  • Psychology
  • Reasoning
  • Simulations

Readers

  • Business Analytics
  • STEM Education
  • Theoretical Analysis.