Stochastic Decision Model for Arithmetic Programming

Abstract

Few if any validated guidelines exist for making decisions about the design, media, or format of new instructional products. This study examined strings of programmed learning responses to create general guidelines for making such decisions. Using a Markov model, tables were developed relating the expected proportion of students to be in a solution state at a given accuracy level and at a given level of confidence with respect to the length of response strings.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1976
Accession Number
ADA026459

Entities

People

  • Mohammad Z. Haque

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Arithmetic
  • Behavioral Sciences
  • Computational Science
  • Computer Programming
  • Data Science
  • Distribution Functions
  • Information Science
  • Markov Chains
  • Markov Processes
  • Materials
  • Operations Research
  • Probability
  • Psychology
  • Sequences
  • Statistical Tests
  • Students

Readers

  • Instructional Design and Training Evaluation.
  • Mathematical Modeling and Probability Theory.