QUANTITATIVE METHODS IN COMPUTER-DIRECTED TEACHING SYSTEMS.

Abstract

The report formulates in quantitative terms the decision problem associated with the design of a computer-directed teaching system. This formulation is then used to direct a theoretical inquiry into some of the aspects of this problem that are relevant to the design of a quantitative decision process within a practical teaching system. Some of the problems attacked include: the development of a class of models for conceptual learning, the study of a decision theoretic procedure for the selection of the model from a class of models, the investigation of optimum teaching strategies (in an economic sense) for a simple learning model, the derivation of the optimum quantization of a past history parameter for a simple teaching system, a consideration of the information-reward trade off in computer-directed teaching systems, and a preliminary formulation of the optimum design problem for a time-shared teaching system. The report concludes with a discussion of directions for future research. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 15, 1967
Accession Number
AD0657190

Entities

People

  • Iram J. Weinstein
  • James E. Eckles
  • Richard D. Smallwood

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Computers
  • Computing Devices
  • Education
  • Learning

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Military Leadership and Professional Education.