Cited by 895Visual and Cognitive Learning ProcessesIntelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor

Aleven, Vincent A.W.M.M., Koedinger, Kenneth R.·2002·Cognitive Science

Abstract

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use.

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Crossref · 10.1207/s15516709cog2602_1

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  • A mathematical model of Aleven and Koedinger's data provides evidence that non-verbal procedural and verbal declarative knowledge of the same content can co-exist and that different mixtures of such knowledge can yield identifiable patterns of performance across multiple assessments.

    “A mathematical model of their data provides evidence that non-verbal procedural and verbal declarative knowledge of the same content can co-exist and that different mixtures of such knowledge can yield identifiable patterns of performance across multiple assessments.”
  • Aleven and Koedinger (2002) provide evidence of non-verbal procedural knowledge in geometry students who were more correct on making geometric inferences than on matched explanation items.

    “Aleven and Koedinger (2002) provide evidence of non-verbal procedural knowledge in the performance of geometry students who were more correct on making geometric inferences than they were on matched explanation items.”
  • Adding prompts for self-explanation to tutored problem solving practice, without adding extra instructional time, produced greater explanation ability and conceptual transfer to novel problems while maintaining performance on isomorphic problems.

    “They found that adding prompts for self-explanation to tutored problem solving practice (without adding extra instructional time) produced greater explanation ability and conceptual transfer to novel problems while maintaining performance on isomorphic problems.”
  • Much research on self-explanation indicates that prompting students to provide verbal explanations of actions, whether their own or ones given in a worked example, can often aid robust learning.

    “Much research on “self-explanation” indicates that prompting students to provide verbal explanations of actions (whether their own or ones given in a worked example) can often aid robust learning (Aleven & Koedinger, 2002;Chi et al., 1994;Graesser, McNamara, & VanLehn, 2005;Hausmann & VanLehn, 2007).”
  • In geometry, many students implicitly induce a rule that when angles look equal in a diagram, they are equal.

    “In geometry, many students (implicitly) induce a rule that when angles look equal in a diagram, they are equal (Aleven & Koedinger, 2002).”

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Authors
Aleven, V. A. W. M. M., & Koedinger, K. R.
Affiliations
Carnegie Mellon University (US)
Corresponding author
Aleven, Vincent A.W.M.M.
Venue
Cognitive Science
Publisher
Wiley
Published
2002-03
Volume
26
Issue
2
Pages
147-179
ISSN
  • 0364-0213 (ISSN-L)
  • 1551-6709
OpenAlex
W2104882621
Cited by
895
References
1
Citations by year
2026: 13 · 2025: 29 · 2024: 31 · 2023: 34 · 2022: 25 · 2021: 39 · 2020: 30 · 2019: 30 · 2018: 42 · 2017: 47 · 2016: 42 · 2015: 53 · 2014: 43 · 2013: 59 · 2012: 60
FWCI
31.49
Type
journal article
Language
en
Open access
closed
Locations
Cognitive Science (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
self-explanation, metacognition, cognitive tutors, intelligent tutoring systems, hands-on learning, problem solving, transfer of learning, declarative knowledge, procedural knowledge, scaffolding, classroom teaching

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