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How Citizen Science Supports Statistical Reasoning: Literature ReviewAna Slavec, samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Opis: 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.
Ključne besede: citizen science, statistical literacy, statistical reasoning
Objavljeno v RUP: 23.07.2026; Ogledov: 269; Prenosov: 10
Celotno besedilo (219,90 KB)
