Effectiveness of Intelligent Tutoring Systems: A Meta Analytic Review

Abstract

This review describes a meta-analysis of findings from 50 controlled evaluations of intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 evaluations was to raise test scores 0.66 standard deviations over conventional levels, or from the 50th to the 75th percentile. However, the amount of improvement found in an evaluation depended to a great extent on whether improvement was measured on locally developed or standardized tests, suggesting that alignment of test and instructional objectives is a critical determinant of evaluation results. The review also describes findings from two groups of evaluations that did not meet all of the selection requirements for the meta-analysis: six evaluations with nonconventional control groups and four with flawed implementations of intelligent tutoring systems. Intelligent tutoring effects in these evaluations were small, suggesting that evaluation results are also affected by the nature of control treatments and the adequacy of program implementations.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2017
Accession Number
AD1030353

Entities

People

  • James A. Kulik
  • John Dexter Fletcher

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Science
  • Data Science
  • Databases
  • Distance Learning
  • Educational Technology
  • Information Science
  • Information Systems
  • Instructors
  • Mathematics
  • Psychology
  • Standards
  • Statistical Analysis
  • Students
  • Test And Evaluation
  • United States

Readers

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