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Title:How Citizen Science Supports Statistical Reasoning: Literature Review
Authors:ID Slavec, Ana, UP FAMNIT in UP IAM (Author)
ID Slavec, Ana (Copyright holder)
Files:.pdf SIS_FENStatS_paper_v1.pdf (219,90 KB)
MD5: 4BAE2DF6DA3B34ADC224A31F3379D79A
 
Language:English
Work type:Not categorized
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FAMNIT - Faculty of Mathematics, Science and Information Technologies
IAM - Andrej Marušič Institute
Abstract:Citizen science has expanded to a widely used research approach, indicating that volunteers can contribute to scientific activities when supported by appropriate tools, infrastructures, and project designs. As participatory data practices grow, so does interest in how citizens understand and work with data, particularly in relation to statistical literacy. However, little is known about how involvement in citizen-science activities shapes volunteers’ understanding of key statistical ideas. This narrative literature review examines studies that link citizen-science participation with the development of statistical or data-literacy skills. A structured search of the Scopus database identified fifteen relevant peer-reviewed articles across diverse disciplines. Each study was analysed for its learning context, the nature of the citizen-science activity, the data tasks involved, and how statistical literacy was conceptualized. Thematic synthesis revealed recurring patterns: citizen-science settings frequently supported gains in data literacy, inferential reasoning, and understanding of uncertainty, while also fostering civic engagement and motivation. Digital tools and community co-creation played central roles in enabling learning, though challenges remained around misconceptions, accessibility, and inclusivity. Overall, the findings highlight the potential of citizen science as a rich context for developing statistical reasoning, while underlining the need for stronger theoretical frameworks and systematic empirical research.
Keywords:citizen science, statistical literacy, statistical reasoning
Publication status:Published
Publication version:Preprint, working version of publication, not peer-reviewed
Number of pages:str. 473-478
PID:20.500.12556/RUP-23353 This link opens in a new window
ISBN:9783032306654
ISSN:3059-2135
eISSN:3059-2143
DOI:https://doi.org/10.1007/978-3-032-30665-4_77 This link opens in a new window
Publication date in RUP:23.07.2026
Views:48
Downloads:3
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Record is a part of a monograph

Title:Statistical Science: From Theory to Applied Research IV
Editors:Francesca Martella, Serena Anima, Maria Francesca Marino, Cristina Mollica
Place of publishing:Rome
Publisher:Springer
Year of publishing:2026
ISBN:9783032306654
Collection title:Italian Statistical Society Series on Advances in Statistics
Collection numbering:1
Collection ISSN:3059-2143

Licences

License:Other
Description:https://www.springernature.com/gp/researchers/text-and-data-mining
Licensing start date:01.01.2026

License:Other
Description:https://www.springernature.com/gp/researchers/text-and-data-mining
Licensing start date:01.01.2026

Secondary language

Language:Slovenian
Title:Kako občanska znanost podpira statistično razmišljanje: pregled literature


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