2021
DOI: 10.7717/peerj-cs.807
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Who participates in computer science education studies? A literature review on K-12 subjects

Abstract: Computer science education (CSEd) research within K-12 makes extensive use of empirical studies in which children participate. Insight in the demographics of these children is important for the purpose of understanding the representativeness of the populations included. This literature review studies the demographics of subjects included in K-12 CSEd studies. We have manually inspected the proceedings of three of the main international CSEd conferences: SIGCSE, ITiCSE and ICER, of five years (2014–2018), and s… Show more

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Cited by 4 publications
(2 citation statements)
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“…If there is no description about research design, we have examined the methodology and data collection parts of the studies and classified the appropriate research design. Regarding the sample size, the studies with less than 30 participants, were categorized as small scale, those with 31 to 100 participants as medium scale, and those with more than 100 participants as being large-scale (Meulen et al, 2021).…”
Section: Research Methodology and Sample Sizementioning
confidence: 99%
“…If there is no description about research design, we have examined the methodology and data collection parts of the studies and classified the appropriate research design. Regarding the sample size, the studies with less than 30 participants, were categorized as small scale, those with 31 to 100 participants as medium scale, and those with more than 100 participants as being large-scale (Meulen et al, 2021).…”
Section: Research Methodology and Sample Sizementioning
confidence: 99%
“…However, none of these analyze the demographics or context of students from a low SES background in K-12 computing education. And, although Van der Meulen et al (2021) study the demographics of computing education in K-12 in terms of age/grade, gender, race/ethnic background, location, prior computer science experience, socio-economic status, and disability, this study only provides a general panorama. Parker and Guzdial (2015) analyze existing research aiming at identifying privilege and inequality in STEM and computing education.…”
Section: Introductionmentioning
confidence: 99%