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Cited by 368

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

A review of writing to learn in science: Implications for practice and research

Rivard, Lé Onard P.·1994·Journal of Research in Science Teaching

Abstract

The published literature on writing to learn in science was reviewed in order to develop a conceptual framework for readers of this special issue and an agenda for future research. Professional journals, books, ERIC documents, and doctoral dissertations were consulted in this review process. Research on writing to learn has been hindered because studies have not always been well designed or clearly reported, and few have been conducted in authentic classroom environments. Furthermore, the links between writing to learn and conceptual change, and writing to learn and critical thinking have not received sufficient attention. Carefully designed studies, both qualitative and quantitative, are still required to provide data from a variety of perspectives. Because the reported studies at the college level outnumber those at other levels, research is still required to generalize the findings across a variety of science classrooms and to elucidate principles for guiding effective teacher use of writing‐to‐learn strategies.

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Metadata

Authors
Rivard, L. O. P.
Venue
Journal of Research in Science Teaching
Publisher
Wiley
Published
1994-11
Volume
31
Issue
9
Pages
969-983
ISSN
  • 0022-4308 (ISSN-L)
  • 1098-2736
OpenAlex
W1978454262
Cited by
368
References
42
FWCI
23.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review of writing to learn in science: Implications for practice and research. https://app.cochat.ai/papers/10.1002/tea.3660310910
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Rivard, L. O. P. (1994). A review of writing to learn in science: Implications for practice and research. Journal of Research in Science Teaching. https://doi.org/10.1002/tea.3660310910

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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.