LINGUISTIC AND TUTORIAL MODELING FOR NATURAL LANGUAGE CAI,

Abstract

The paper describes research that has as its goal the development of a computer-based tutorial system that can recognize and generate natural English discourse, while providing CAI lesson authors with a meaningful means of lesson preparation. The primary line of research concentrates on natural language data processing and conceptual modeling designed to support a CAI system. This has resulted in computer programs that perform functional operations of syntactic and semantic analysis, inferring answers to questions, generation of coherent discourse, and recognition and generation of paraphrase. A second line of research was initiated to find decision rules for generating and sequencing remedial questions and statements. From a study of verbal data obtained from the recorded messages of tutors, as they monitor and augment the interaction between students and a computer-administered lesson, a set of effective decision rules is sought that can invoke computer generation of remedial feedback from a subject matter data base. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 20, 1968
Accession Number
AD0681530

Entities

People

  • F. D. Bennik
  • H. F. Silberman
  • R. M. Schwarcz

Organizations

  • System Development Corporation

Tags

DTIC Thesaurus Topics

  • Application Software
  • Computer Programs
  • Computers
  • Data Processing
  • Databases
  • Demographic Cohorts
  • Digital Information
  • Feedback
  • Language
  • Natural Languages
  • Recognition

Readers

  • Computational Linguistics
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation