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Version 1.1 – Updated August 2021

Intelligent tutoring systems

Overview

  • Influence: Intelligent tutoring systems
  • Domain: Technology, School, and Out-of-School Strategies
  • Sub-Domain: Technology
  • Potential to Accelerate Student Achievement: Potential to accelerate
  • Influence Definition: Intelligent tutoring systems aim to provide instructional advice on a one-on-one basis, and to develop and test models about the cognitive processes involved in instruction.

Evidence

  • Number of meta-analyses: 6
  • Number of studies: 357
  • Number of students: 22,700
  • Number of effects: 362
  • Effect size: 0.51

Meta-Analyses

Meta-Analyses
Journal Title Author First Author's Country Article Name Year Published Variable Number of Studies Number of Students Number of Effects Effect Size
Journal of Educational Psychology Ma, Adesope, Nesbit, & Liu Intelligent tutoring systems and learning outcomes: A meta-analysis. 2014 Intelligent tutoring systems 74 8,379 74 0.43
Educational Psychologist vanLehn USA The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems 2011 Intelligent tutoring systems 44 0 44 0.76
Educational Research Review Gerard, Matuk, McElhaney, Linn USA Automated, adaptive guidance for K-12 education 2015 Automated, adaptive guidance 24 0 29 0.34
Review of Educational Research Kulik & Fletcher Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review 2016 Intelligent tutoring systems 50 0 50 0.66
Journal of Educational Psychology Ma, Adesope, Nesbit, & Liu USA Intelligent tutoring systems and learning outcomes: A meta-analysis. 2014 Intelligent tutoring systems 107 14,321 107 0.36
Chinese Distance Education Wang & Mao china Study on the impact of intelligent mentor system on academic achievement: Perspectives on quantitative meta-analysis. 2019 Intelligent tutoring systems 58 0 58 0.49
TOTAL/AVERAGE 357 22,700 362 0.51

Confidence

The Confidence is the average of these four measures, each divided into five approximately equal groups and assigned a value from 1 to 5 based on the following criteria:

  • Number of Meta-analyses
    • 1 = 1
    • 2 = 2–3
    • 3 = 4–6
    • 4 = 7–9
    • 5 = 10+
  • Number of Studies
    • 1 = 1–10
    • 2 = 11–50
    • 3 = 51–200
    • 4 = 201–400
    • 5 = 400+
  • Number of Students
    • 1 = 1–2,500
    • 2 = 2,501–10,000
    • 3 = 10,000–20,000
    • 4 = 20,000–100,000
    • 5 = 100,001+
  • Number of Effects
    • 1 = 1–100
    • 2 = 101–300
    • 3 = 301–600
    • 4 = 601–1,200
    • 5 = 1,200+
Confidences
Number of Meta-Analyses Number of Studies Number of Students Number of Effects Overall Confidence
Confidence Factor 3 4 4 3 4
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