Selected Characteristics of Tutor Programs Produced in ARPA Sponsored PLATO Projects

Abstract

This report demonstrates that several categories of data useful in operating a PLATO CBE site can be gathered efficiently by means of various features of the PLATO system itself (particularly its string-searching capability). Levels of documentation and -restart- use can be monitored easily with these techniques, and the potential for study of interaction command use has been noted. This report also suggests ways for minimizing the time and expense for data collection. For example, it appears that monitoring the size of only the largest lessons may be sufficient for avoiding problems of long lessons and that merely checking for the presence of -define- commands may be an adequate measure of use of named variables. Although most of these forms of data can be easily collected by clerks having a minimal amount of training, we feel that project managers may prefer to make these checks themselves on an informal but regular basis. There is a need for personal experience before many of these procedures are internalized and managers are in the best position to make decisions about how to use the difficulty of convincing authors of the need for anything that causes even slight more work in the short term when payoffs are greatest in the long term (for an example, see the discussion regarding documentation).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA101718

Entities

People

  • A. Lynn Misselt
  • Joseph A. Klecka
  • Larry Francis

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Computer Graphics
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Core Storage
  • Data Storage Systems
  • Education
  • Engineering
  • Human Behavior
  • Language
  • Materials
  • Military Training
  • Standards
  • Students
  • Training

Readers

  • Instructional Design and Training Evaluation.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design