20.500.12556/RUP-23353 How Citizen Science Supports Statistical Reasoning: Literature Review Kako občanska znanost podpira statistično razmišljanje: pregled literature 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. citizen science statistical literacy statistical reasoning true true true Angleški jezik Slovenski jezik Delo ni kategorizirano 2026-07-21 17:25:55 2026-07-23 10:53:33 2026-07-24 03:06:24 0000-00-00 00:00:00 0 0 0 str. 473-478 0000-00-00 PreprintDelovna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 3059-2135 9783032306654 3059-2143 https://doi.org/10.1007/978-3-032-30665-4_77 SIS_FENStatS_paper_v1.pdf SIS_FENStatS_paper_v1.pdf 1 4BAE2DF6DA3B34ADC224A31F3379D79A 99ae3dc364eee55bea0152fd3c4e3c89810441e269db45c1f8a62c70da0a4af8 b28df851-8667-11f1-9e8d-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=34165 Fakulteta za matematiko, naravoslovje in informacijske tehnologije Inštitut Andrej Marušič 0 0 0