Citizen science as a context for concurrently fostering statistical, scientific and NOS reasoning¶
Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 qualitative),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
The article positions citizen science as a pedagogical design pattern in which learners engage in authentic scientific practices, including data analysis, while learning scientific content. It states: 'The context of Citizen Science is particularly suited for this goal, providing a unique pedagogical opportunity for learning scientific content by engaging learners in authentic scientific practices, including data analysis.' The Radon Citizen Science Project learning sequence operationalized this pattern.
Design Implications¶
Context¶
Requirements¶
- An interdisciplinary extended learning sequence embedding authentic scientific practices
Constraints¶
- Pilot implementation was partially inhibited by COVID-19 restrictions
Target Learners¶
- middle school students
Learning Goals¶
- scientific content learning
- data analysis
- appreciating the role of uncertainty in generating data-based scientific knowledge
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- Aridor, K., Dvir, M., Tsybulsky, D., & Ben-Zvi, D. (2023). Living the DReaM: The interrelations between statistical, scientific and nature of science uncertainty articulations through citizen science. Instr Sci, 51, 729–762. https://doi.org/10.1007/s11251-023-09626-8
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
citizen-science-concurrent-uncertainty-reasoning |
title |
Citizen science as a context for concurrently fostering statistical, scientific and NOS reasoning |
description |
The article positions citizen science as a pedagogical design pattern in which learners engage in authentic scientific practices, including data analysis, while learning scientific content. |
status |
review |
generated |
by process:settle-candidates on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — aridor-2023 |
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