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Cited by 264

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

A Framework for Articulating and Measuring Individual Learning Outcomes from Participation in Citizen Science

Open access
Phillips, Tina, Porticella, Norman, Constas, Mark, Bonney, Rick·2018·Citizen Science: Theory and Practice

Abstract

Since first being introduced in the mid 1990s, the term “citizen science”—the intentional engagement of the public in scientific research—has seen phenomenal growth as measured by the number of projects developed, people involved, and articles published. In addition to contributing to scientific knowledge, many citizen science projects attempt to achieve learning outcomes among their participants, however, little guidance is available for practitioners regarding the types of learning that can be supported through citizen science or the measuring of learning outcomes. This study provides empirical data to understand how intended learning outcomes first described by the informal science education field have been employed and measured within the citizen science field. We also present a framework for describing learning outcomes that should help citizen science practitioners, researchers, and evaluators in designing projects and in studying and evaluating their impacts. This is a first step in building evaluation capacity across the field of citizen science.

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Metadata

Authors
Phillips, T., Porticella, N., Constas, M., & Bonney, R.
Venue
Citizen Science: Theory and Practice
Published
2018-08-28
Volume
3
Issue
2
Pages
3
ISSN
2057-4991 (ISSN-L)
OpenAlex
W2889496369
Cited by
264
References
90
FWCI
263.61
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Framework for Articulating and Measuring Individual Learning Outcomes from Participation in Citizen Science. https://app.cochat.ai/papers/10.5334/cstp.126
The paper
Phillips, T., Porticella, N., Constas, M., & Bonney, R. (2018). A Framework for Articulating and Measuring Individual Learning Outcomes from Participation in Citizen Science. Citizen Science: Theory and Practice. https://doi.org/10.5334/cstp.126

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.