Categorizing Example Types in Context: Applications for the Generation of Tutorial Descriptions

Abstract

Different situations may require the presentation of different types of examples. For instance, some situations require the presentation of positive examples only, while others require both positive and negative examples. Furthermore, different examples often have specific presentation requirements: they need to appear in an appropriate sequence, be introduced properly and often require associated prompts. It is important to be able to identify what is needed in which case, and what needs to be done in presenting the example. A categorization of examples, along with their associated presentation requirements would help tremendously. This issue is particularly salient in the design of a computational framework for the generation of tutorial descriptions which include examples. We present descriptions from test-books on LISP to illustrate our points, and describe how such categorizations can be effectively used by a computational system to generate descriptions that incorporate examples. Example, Types, Context, Intelligent tutoring systems.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA269677

Entities

People

  • Cecile Paris
  • Vibhu O. Mittal

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computer Programming
  • Computer Science
  • Computers
  • Educational Psychology
  • Information Science
  • Instructions
  • Language
  • Lisp Programming Language
  • Mathematics
  • Natural Languages
  • Psychology
  • Sequences
  • Standards

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.