Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 858

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Higher Levels of Agency for Children in Knowledge Building: A Challenge for the Design of New Knowledge Media

Open access
Scardamalia, Marlene, Bereiter, Carl·1991·Journal of the Learning Sciences

Abstract

Although adults and children both have zones of proximal development in which more knowledgeable others play essential roles, there is a difference in executive control that is most salient in question-answer dialogue. Adult learners typically ask questions based on their perceived knowledge needs, whereas with school children, questions are typically asked by the teacher, based on the teacher's perception of the child's needs. Evidence shows that children can produce and recognize educationally productive questions and can adapt them to their knowledge needs. The challenge is to design environments in which students can use such questions to guide their building of knowledge, thus assuming a higher level of agency in learning. Computer Supported Intentional Learning Environments (CSILE), a computer-supported knowledge medium designed to support intentional learning, is described, with illustrations of children's use of it in cooperative knowledge building.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1207/s15327809jls0101_3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 858

Metadata

Authors
Scardamalia, M., & Bereiter, C.
Venue
Journal of the Learning Sciences
Published
1991-01
Volume
1
Issue
1
Pages
37-68
ISSN
  • 1050-8406 (ISSN-L)
  • 1532-7809
OpenAlex
W2116736830
Cited by
858
References
1
FWCI
26.96
Type
journal article
Language
en
Open access
bronze

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: Higher Levels of Agency for Children in Knowledge Building: A Challenge for the Design of New Knowledge Media. https://app.cochat.ai/papers/10.1207/s15327809jls0101_3
The paper
Scardamalia, M., & Bereiter, C. (1991). Higher Levels of Agency for Children in Knowledge Building: A Challenge for the Design of New Knowledge Media. Journal of the Learning Sciences. https://doi.org/10.1207/s15327809jls0101_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.