Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 757Visual and Cognitive Learning ProcessesInnovative Teaching and Learning MethodsEducational Strategies and Epistemologies

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Eliciting Self‐Explanations Improves Understanding

Chi, Michelene T.H., De Leeuw, Nicholas, Chiu, Mei‐Hung, Lavancher, Christian·1994·Cognitive Science

Abstract

Learning involves the integration of new information into existing knowledge. Generating explanations to oneself (self‐explaining) facilitates that integration process. Previously, self‐explanation has been shown to improve the acquisition of problem‐solving skills when studying worked‐out examples. This study extends that finding, showing that self‐explanation can also be facilitative when it is explicitly promoted, in the context of learning declarative knowledge from an expository text. Without any extensive training, 14 eighth‐grade students were merely asked to self‐explain after reading each line of a passage on the human circulatory system. Ten students in the control group read the same text twice, but were not prompted to self‐explain. All of the students were tested for their circulatory system knowledge before and after reading the text. The prompted group had a greater gain from the pretest to the posttest. Moreover, prompted students who generated a large number of self‐explanations (the high explainers) learned with greater understanding than low explainers. Understanding was assessed by answering very complex questions and inducing the function of a component when it was only implicitly stated. Understanding was further captured by a mental model analysis of the self‐explanation protocols. High explainers all achieved the correct mental model of the circulatory system, whereas many of the unprompted students as well as the low explainers did not. Three processing characteristics of self‐explaining are considered as reasons for the gains in deeper understanding.

Overview

Integrity signals

Registry

Crossref · 10.1207/s15516709cog1803_3

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 28 references

Research works printed but not linked: 14

  1. Bereiter C., 1989, Knowing, learning and instruction: Essays in honor of Robert Glaser.
  2. Bielaczyc K., Strategy training in self‐explanation and self‐regulation strategies for learning computer programming, Cognition and Instruction.
  3. Chi M.T.H., 1992, Cognitive models of science: Minnesota Studies in the philosophy of science.
  4. Chi M.T.H.(1993 June).Barriers to conceptual change in learning science concepts: A theoretical conjecture.Proceedings of the 15th Annual Conference of the Cognitive Science Society.Hillsdale NJ :Erlbaum.
  5. Chi M.T.H., 1994, Analyzing the content of verbal data to represent knowledge: A practical guide, Journal of the Learning Sciences.
  6. deKleer J., 1983, Mental models.
  7. deLeeuw N.(1993 June).Students' beliefs about the circulatory system: Are misconceptions universal?Proceedings of the 15th Annual Conference of the Cognitive Science Society.Hillsdale NJ :Erlbaum.
  8. Ericsson K.A., 1984, Protocol analysis: Verbal reports as data.
  9. Graesser A.C., 1985, The psychology of questions.
  10. 10.3102/00028312031002338 · DOI · Paper page
  11. Nix D., 1985, The psychology of questions.
  12. Scardamalia M.(1992 July).The role of adaptation and understanding in knowledge‐building communities.Paper presented at conference of NATO Advanced Science Institute Kolymbari Crete Greece .
  13. Towle A., 1989, Modern biology.
  14. VanLehn K. &Jones R.M.(1993).What mediates the self‐explanation effect? Knowledge gaps schemas or analogies?InM.Polson(Ed.)Proceedings of the 15th Annual Conference of the Cognitive Science Society.Hillsdale NJ :Erlbaum.

Cited by

See all 757

Metadata

Authors
Chi, M. T. H., De Leeuw, N., Chiu, M., & Lavancher, C.
Affiliations
  • National Taiwan Normal University (TW)
  • University of Pittsburgh (US)
Venue
Cognitive Science
Publisher
Wiley
Published
1994-07
Volume
18
Issue
3
Pages
439-477
ISSN
  • 0364-0213 (ISSN-L)
  • 1551-6709
OpenAlex
W4243420394
Cited by
757
References
28
Citations by year
2026: 51 · 2025: 26 · 2024: 35 · 2023: 29 · 2022: 36 · 2021: 48 · 2020: 53 · 2019: 35 · 2018: 34 · 2017: 27 · 2016: 42 · 2015: 28 · 2014: 30 · 2013: 34 · 2012: 35
FWCI
5.72
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
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
Keywords
self-explanation, self-explanation prompts, declarative knowledge, expository text reading, cardiovascular system, mental models, knowledge integration, eighth grade students, reading comprehension

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Eliciting Self‐Explanations Improves Understanding. https://app.cochat.ai/papers/10.1207/s15516709cog1803_3
The paper
Chi, M. T. H., De Leeuw, N., Chiu, M., & Lavancher, C. (1994). Eliciting Self‐Explanations Improves Understanding. Cognitive Science. https://doi.org/10.1207/s15516709cog1803_3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.