Models of the Learner in Computer-Assisted Instruction

Abstract

The adaptability of computer-assisted instruction to individuals should be enhanced by the use of explicit models of the learner. To be appropriate for computer representation, these models must take the form of effective procedures. Such procedures may be derived from four areas of investigation: quantitative models of memory, regression models of performance, automaton models of performance, and artificial intelligence. Relevant work in these four areas is identified and reviewed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA020725

Entities

People

  • J D Fletcher

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata
  • Automata Theory
  • California
  • Cognition
  • Computer Programs
  • Computer Simulations
  • Computers
  • Information Processing
  • Mathematical Models
  • New York
  • Probability
  • Psychology
  • Simulations
  • Social Sciences
  • Standards
  • Students

Fields of Study

  • Education

Readers

  • Computer Science.
  • Neural Network Machine Learning.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference