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Cited by 309

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Developing Students' Appreciation for What Is Taught in School

BROPHY, JERE·2008·Educational Psychologist

Abstract

This article elaborates a presentation made upon reception of the E. L. Thorndike Career Achievement Award in Educational Psychology from Division 15 of the American Psychological Association. It considers how value aspects of motivation apply to efforts to develop students' appreciation for school learning. Currently, we have only limited knowledge about situations that afford opportunities for learning school content with appreciation of its value, how to exploit those affordances, or even their benefits to learners. We need to develop our theorizing about the benefits that students may derive from learning in school and determine what curriculum makers and teachers might do to foster students' appreciation for these benefits. Teaching for appreciation requires ensuring that what is taught is worth learning, explaining the value of this content and modeling its applications, and scaffolding learning by engaging students in activities that allow them to experience its valued affordances.

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Metadata

Authors
BROPHY, J.
Venue
Educational Psychologist
Published
2008-07-29
Volume
43
Issue
3
Pages
132-141
ISSN
  • 0046-1520 (ISSN-L)
  • 1532-6985
OpenAlex
W2161247698
Cited by
309
References
16
FWCI
16.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developing Students' Appreciation for What Is Taught in School. https://app.cochat.ai/papers/10.1080/00461520701756511
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BROPHY, J. (2008). Developing Students' Appreciation for What Is Taught in School. Educational Psychologist. https://doi.org/10.1080/00461520701756511

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.