Program Sequence by Ability Interaction in Learning a Hierarchical Task by Computer-Assisted Instruction.

Abstract

The sequence of instruction in a fixed set of highly controlled learning materials was investigated. Computer-assisted instruction (CAI) was used to administer the instructional materials and to collect the data. The role of some cognitive ability variables was also investigated. A survey of the literature showed that there were several ways of analyzing the task to determine its structure. This analysis then should prescribe the sequence of instruction. In general, it was found that a disordering or scrambling of this analyzed sequence made little difference on the student's performance. The methods for analyzing the task did not always yield the same sequence, depending upon who performed the analysis. The rationale for an information processing task analysis was outlined to overcome the shortcomings of the other analytic methods. The new method appeared to have good reliability of sequence determination (i.e., different persons derived the same sequence using this method). Several studies have indicated that students can effectively sequence the learning task for themselves. In order to determine how their selected sequences affected their performance, it was necessary to quantify their different sequences. An index for quantifying the degree of conformity to the information processing sequence was developed. This index was called the hierarchical sequence conformity index.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1970
Accession Number
AD0724745

Entities

People

  • William P. Olivier

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Cognition
  • Computer Programs
  • Computers
  • Data Science
  • Factor Analysis
  • Information Processing
  • Information Science
  • Instructions
  • Materials
  • Mathematics
  • Psychology
  • Reasoning
  • Students
  • Surveys
  • Task Performance And Analysis

Fields of Study

  • Education

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Instructional Design and Training Evaluation.