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Cited by 964

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Interest and Self-Sustained Learning as Catalysts of Development: A Learning Ecology Perspective

Barron, Brigid·2006·Human Development

Abstract

Adolescents often pursue learning opportunities both in and outside school once they become interested in a topic. In this paper, a learning ecology framework and an associated empirical research agenda are described. This framework highlights the need to better understand how learning outside school relates to learning within schools or other formal organizations, and how learning in school can lead to learning activities outside school. Three portraits of adolescent learners are shared to illustrate different pathways to interest development. Five types of self-initiated learning processes are identified across these case portraits. These include the seeking out of text-based informational sources, the creation of new interactive activity contexts such as projects, the pursuit of structured learning opportunities such as courses, the exploration of media, and the development of mentoring or knowledge-sharing relationships. Implications for theories of human development and ideas for research are discussed.

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Metadata

Authors
Barron, B.
Venue
Human Development
Publisher
S. Karger AG
Published
2006
Volume
49
Issue
4
Pages
193-224
ISSN
  • 0018-716X (ISSN-L)
  • 1423-0054
OpenAlex
W1992069980
Cited by
964
References
79
FWCI
10.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interest and Self-Sustained Learning as Catalysts of Development: A Learning Ecology Perspective. https://app.cochat.ai/papers/10.1159/000094368
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Barron, B. (2006). Interest and Self-Sustained Learning as Catalysts of Development: A Learning Ecology Perspective. Human Development. https://doi.org/10.1159/000094368

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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.