Dataset for paper Children’s Interest in a CS Career: Exploring Age, Gender, Computer Interests, Programming Experience and Stereotypes

DOI:10.4121/27a0a5c3-30cc-461b-8109-bfba686996ab.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/27a0a5c3-30cc-461b-8109-bfba686996ab

Datacite citation style

de Wit, Shirley; Hermans, Felienne; Specht, Marcus; Aivaloglou, Efthimia (2025): Dataset for paper Children’s Interest in a CS Career: Exploring Age, Gender, Computer Interests, Programming Experience and Stereotypes. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/27a0a5c3-30cc-461b-8109-bfba686996ab.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Data used for the published paper Children’s Interest in a CS Career: Exploring Age, Gender, Computer Interests, Programming Experience and Stereotypes.


In this study, we research the interest children aged 7 to 14 have in a CS career. Additionally, we look into whether children with different characteristics have a different interest in CS. As such our research question: How does children’s interest in a CS career differ based on their a) age, b) gender, c) computer interests, d) programming experience, and e) stereotypical beliefs? We collected data from 200 children in a science museum located in the Netherlands. We gathered data on their gender, age, computer interests, programming experience, stereotypical beliefs and interest in becoming a programmer - as representative of a CS career. We used self-reported closed questions and reduced-length Child Implicit Association Tests.

History

  • 2025-05-26 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.R; spreadsheet/.xlsx; dataset/.csv; README/.txt

Funding

  • VSNU Digital Society project
  • \COMMIT

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science;
Vrije Universiteit Amsterdam, Faculty of Behavioural and Movement Sciences

DATA

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