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Cited by 745

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Interest, motivation and attitude towards science and technology at K-12 levels: a systematic review of 12 years of educational research

Open access
Potvin, Patrice, Hasni, Abdelkrim·2014·Studies in Science Education

Abstract

The relationship that exists between students and science and technology (S&T) is a complex and important one. If it is positive, then social, economic and environmental consequences are to be expected. Yet, many problems of interest/motivation/attitude (I/M/A) towards S&T have been recorded. A lot of research has been conducted on this topic and a certain number of syntheses have been proposed, but very few of them have followed sufficiently systematic procedures. In this article, we offer a synthetic and systematic description of 228 research articles that were published between 2000 and 2012 and indexed in the ERIC database under I/M/A for S&T at K-12 levels. We focus on the origin of these articles, on the constructs they use and define, on the instruments, and finally on the results they provide, whether correlative or causal. Conclusions and recommendations for future research and interventions are formulated.

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Metadata

Authors
Potvin, P., & Hasni, A.
Venue
Studies in Science Education
Published
2014-01-02
Volume
50
Issue
1
Pages
85-129
ISSN
  • 0305-7267 (ISSN-L)
  • 1940-8412
OpenAlex
W2005828999
Cited by
745
References
155
FWCI
26.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Interest, motivation and attitude towards science and technology at K-12 levels: a systematic review of 12 years of educational research. https://app.cochat.ai/papers/10.1080/03057267.2014.881626
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Potvin, P., & Hasni, A. (2014). Interest, motivation and attitude towards science and technology at K-12 levels: a systematic review of 12 years of educational research. Studies in Science Education. https://doi.org/10.1080/03057267.2014.881626

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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