Cited by 25Visual and Cognitive Learning ProcessesMathematics Education and PedagogyInnovative Teaching and Learning Methods

The DOI matches its Crossref record.

Cue recognition and cue elaboration in learning from examples.

Open access
Zhu, X, Lee, Y, Simon, H A, Zhu, D·1996·Proceedings of the National Academy of Sciences

Abstract

This paper describes the processes used by students to learn from worked-out examples and by working through problems. Evidence is derived from protocols of students learning secondary school mathematics and physics. The students acquired knowledge from the examples in the form of productions (condition-->action): first discovering conditions under which the actions are appropriate and then elaborating the conditions to enhance efficiency. Students devoted most of their attention to the condition side of the productions. Subsequently, they generalized the productions for broader application and acquired specialized productions for special problem classes.

Overview

Integrity signals

Registry

Crossref · 10.1073/pnas.93.3.1346

Cites

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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

Still being checked.

Cited by

Metadata

Authors
Zhu, X., Lee, Y., Simon, H. A., & Zhu, D.
Affiliations
Chinese Academy of Sciences (CN)
Venue
Proceedings of the National Academy of Sciences
Published
1996-02-06
Volume
93
Issue
3
Pages
1346-1351
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1969658372
Cited by
25
References
0
Citations by year
2024: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2017: 1 · 2015: 1 · 2012: 1
FWCI
1.45
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
  • Social Sciences › Education › Mathematics Education and Pedagogy
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
worked examples, learning from examples, cue recognition, production systems, problem solving, high school mathematics, physics education, attention allocation
MeSH terms
Cognition, Humans, Learning, Models, Psychological, Physics, Problem Solving, Students, Physical Phenomena

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