Is being clever enough? Young people’s construction of the ideal student in computer science education

Popular discourses of computing and computer science can often frame the sector and the people within it as highly intelligent yet socially challenged, contributing to stereotypes that can potentially exclude those perceived to lack these skills or characteristics. For young people, such stereotypes can influence their educational and career aspirations, especially if there are discrepancies between their own identity and perceptions of what is desirable for computer science students. Drawing on open-ended questionnaire data from 3,235 young people in England (aged 11-16), we collected 9,442 keywords that students used to describe their ‘ideal student’ in computer science education. An understanding of these perceptions allows us to recognise the prevailing stereotypes that may be shaping young people’s views and aspirations. In this paper, we employ an innovative large-scale descriptive analysis of the most common words that students use to describe the ideal computer science student, including its differences, if any, by students’ demographic background (e.g., gender, ethnicity, free school meal) and responses to the questionnaire (e.g., aspirations to be a computer scientist). We tentatively identified eight clusters of popular ideal student characteristics, namely being Smart & Clever; Knowledgeable & Interested; Determined & Hardworking; Kind & Helpful; Creative; Independent; Confident; and Collaborative. By examining how students imagine the ideal student in computer science, we gain better understanding of their educational aspirations and choice of study and provide educators with valuable insights to potentially challenge and reshape these perceptions. These insights can inform educational interventions to foster a more inclusive computing education.

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Institutions

Publication Details

Journal
Educational Review
Published
2024-08-11
DOI
https://doi.org/10.1080/00131911.2024.2379430
Citations
1
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.41

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article

Is being clever enough? Young people’s construction of the ideal student in computer science education

Meggie Copsey-Blake, Jessica M. M. Hamer, Billy Wong, Peter E. J. Kemp
1 citations
Educational Review
Teaching and Learning Programming
0.41
article

Is being clever enough? Young people’s construction of the ideal student in computer science education

Meggie Copsey-Blake, Jessica M. M. Hamer, Billy Wong, Peter E. J. Kemp
article en
1 citations

Abstract

Popular discourses of computing and computer science can often frame the sector and the people within it as highly intelligent yet socially challenged, contributing to stereotypes that can potentially exclude those perceived to lack these skills or characteristics. For young people, such stereotypes can influence their educational and career aspirations, especially if there are discrepancies between their own identity and perceptions of what is desirable for computer science students. Drawing on open-ended questionnaire data from 3,235 young people in England (aged 11-16), we collected 9,442 keywords that students used to describe their ‘ideal student’ in computer science education. An understanding of these perceptions allows us to recognise the prevailing stereotypes that may be shaping young people’s views and aspirations. In this paper, we employ an innovative large-scale descriptive analysis of the most common words that students use to describe the ideal computer science student, including its differences, if any, by students’ demographic background (e.g., gender, ethnicity, free school meal) and responses to the questionnaire (e.g., aspirations to be a computer scientist). We tentatively identified eight clusters of popular ideal student characteristics, namely being Smart & Clever; Knowledgeable & Interested; Determined & Hardworking; Kind & Helpful; Creative; Independent; Confident; and Collaborative. By examining how students imagine the ideal student in computer science, we gain better understanding of their educational aspirations and choice of study and provide educators with valuable insights to potentially challenge and reshape these perceptions. These insights can inform educational interventions to foster a more inclusive computing education.

Educational ReviewVol. 77(6)
King's College London (GB), King's College School (GB), University of Reading (GB)
Nuffield Foundation
Openalex Percentile: Top 28%
Teaching and Learning Programming
0.41
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