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Computer Science Education
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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UCL Discovery
Article . 2024
Data sources: UCL Discovery
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Feeling the weight of the water: a longitudinal study of how capital and identity shape young people’s computer science trajectories over time, age 10–21

Authors: Henriette Holmegaard; Louise Archer; Spela Godec; Emma Watson; Emily MacLeod; Jennifer Dewitt; Julie Moote;

Feeling the weight of the water: a longitudinal study of how capital and identity shape young people’s computer science trajectories over time, age 10–21

Abstract

Background and Context: There is a call for more young people to continue into higher education computer science (CS). Objective: To understand young people’s choices into and away from CS, by addressing the inequalities their trajectories as shaped over time and in relation to their capital and identities. Method: Ninety-four longitudinal interviews were conducted with nine young people and their parents from age 10/11 to age 21/22, analysed through the lens of identity and capital. Findings: CS-related capital facilitated “smooth” transitions into CS-degrees, with family capital being salient in the choice-process, and out-of-school experiences for navigating CS-courses. Other young people faced disjunctures between their capital, identity and the field of CS education, feeling “the weight of the water”, experiencing study challenges and being at risk of withdrawing. Finally, a group of young people were “navigating a different waterway”, reflecting a greater fit with a different field. Implications: We call for actions to broadening what counts as CS.

Keywords

aspirations, computer science identities, choices, computer science, Science capital, 301

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid
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