The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Participation in science and technology: young people’s achievement‐related choices in late‐modern societies
Abstract
Young people’s participation in science, technology, engineering and mathematics (STEM) is a matter of international concern. Studies and careers that require physical sciences and advanced mathematics are most affected by the problem and women in particular are under‐represented in many STEM fields. This article views international research about young people’s relationships to, and participation in, STEM subjects and careers through the lens of an expectancy‐value model of achievement‐related choices. In addition it draws on sociological theories of late‐modernity and identity, which situate decision‐making in a cultural context. The article examines how these frameworks are useful in explaining the decisions of young people – and young women in particular – about participating in STEM and proposes possible strategies for removing barriers to participation.
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Cites
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Cited by
Xia, Q., Chiu, T. K. F., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104582 · Cited by 469
DeWitt, J., & Archer, L. (2015) · International Journal of Science Education · doi:10.1080/09500693.2015.1071899 · Cited by 268
Learning to Feel Like a Scientist
JABER, L. Z., & HAMMER, D. (2016) · Science Education · doi:10.1002/sce.21202 · Cited by 225
Hagger, M. S., Sultan, S., Hardcastle, S. J., & Chatzisarantis, N. L. D. (2015) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2014.12.002 · Cited by 171
Regan, E., & DeWitt, J. (2015) · Understanding Student Participation and Choice in Science and Technology Education · doi:10.1007/978-94-007-7793-4_5 · Cited by 122
Metadata
- Authors
- Bøe, M. V., Henriksen, E. K., Lyons, T., & Schreiner, C.
- Venue
- Studies in Science Education
- Publisher
- Informa UK Limited
- Published
- 2011-03
- Volume
- 47
- Issue
- 1
- Pages
- 37-72
- ISSN
- 0305-7267 (ISSN-L)
- 1940-8412
- OpenAlex
- W2000363937
- Cited by
- 277
- References
- 131
- FWCI
- 47.84
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
