Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 296

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

Curriculum-Based Ecosystems: Supporting Knowing From an Ecological Perspective

Barab, Sasha A., Roth, Wolff-Michael·2006·Educational Researcher

Abstract

The goal of this article is to advance an ecological theory of knowing, one that prioritizes engaged participation over knowledge acquisition. To this end, the authors begin by describing the environment in terms of affordance networks: functionally bound potentials extended in time that can be acted upon to realize particular goals. Although there may be socially agreed-upon trajectories specifying the necessary components of a network activated for realizing a particular goal, the particular network engaged by an individual is dependent on adopted intentions and available effectivity sets, the attunements and behaviors that an individual can enlist to realize an affordance network. Thus, to help clarify the challenges of connecting learners to ecological systems through which affordance networks are activated, the authors use the term life-world, which refers to the environment from the perspective of an individual. Building on their characterization of affordance networks, effectivity sets, and life-worlds, the authors offer an ecological focal point for curricular design.

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 · 10.3102/0013189x035005003

Cites

80 of 80 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 80 references

Cited by

See all 296

Metadata

Authors
Barab, S. A., & Roth, W.-M.
Venue
Educational Researcher
Published
2006-06
Volume
35
Issue
5
Pages
3-13
ISSN
  • 0013-189X (ISSN-L)
  • 1935-102X
OpenAlex
W2062428634
Cited by
296
References
80
FWCI
69.17
Type
journal article
Language
en
Open access
closed

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: Curriculum-Based Ecosystems: Supporting Knowing From an Ecological Perspective. https://app.cochat.ai/papers/10.3102/0013189x035005003
The paper
Barab, S. A., & Roth, W.-M. (2006). Curriculum-Based Ecosystems: Supporting Knowing From an Ecological Perspective. Educational Researcher. https://doi.org/10.3102/0013189x035005003

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.