Research on the Design of Adaptive Teaching Systems with a Capability for Selecting and Altering Criteria for Adaptation.

Abstract

Part 1 of this report summarises the experimental results that have been obtained in connection with adaptive teaching systems in which an individual student interacts with a special purpose adaptive automaton that is designed to act as an instructor by adjusting simplification parameters in order to maximise the estimated value of learning rate. Part 1 also contains a brief description of the experimental systems and the sorts of skill and learning situation that have been examined (transformation learning, the manipulation of a pair of interfering transformation rules, a perceptual discrimination skill, speed reading and a form of maintenance training). Part 2 of the report is a summary of the data gleaned from experimenting with adaptively stabilised group systems. In this case the adaptive automaton adjusts the allowable patterns of communication between the participants in a 3 person group which is learning to solve problems (these, according to the experimental conditions, may be deductive or inductive in character). The 3 person group is constrained as a function of its performance and in a fashion intended to maximise the estimated learning rate for the entire group. The material presented in Part 2 is sufficient to uphold this assertion, but it does not provide details of the rather large number of different group experiments. These details are available in previous publications. The last part of the report consists of a brief discussion of the practical applications of adaptively controlled teaching systems and a list of the publications connected with this project.

Document Details

Document Type
Technical Report
Publication Date
Sep 22, 1965
Accession Number
ADA954502

Entities

People

  • G. Pask

Tags

DTIC Thesaurus Topics

  • Automata
  • Discrimination
  • Education
  • Instructors
  • Learning
  • Maintenance
  • Materials
  • Personality
  • Students
  • Training

Readers

  • Computational Linguistics
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.