CoCoRaHS (The Community Collaborative Rain, Hail and Snow Network): Analysis of Participant Survey Data to Uncover Learning through Participation

CoCoRaHS (The Community Collaborative Rain, Hail and Snow network) is based out of Fort Collins Colorado and is an extremely successful citizen science project with over 15,000 volunteers collecting valuable precipitation data. Forecasters and scientists use data from this dense network to illuminate and illustrate the high small-scale variability of precipitation across the nation. This presentation will discuss the results of a survey of CoCoRaHS participants as related to 1) citizen scientists’ motivation and learning; 2) the challenges of identifying how people learn science in citizen science projects; and 3) a potential research-based framework for how people learn through engaging in the data collection within in a citizen science project. A comprehensive survey of 14,500 CoCoRaHS observers was recently conducted to uncover participant perceptions of numerous aspects of the CoCoRaHS program, including its goal of increasing climate literacy. The survey yielded a response rate of over 50%, and included measures of motivation, engagement and learning. In relationship to motivation and learning, the survey revealed that most (57.1%) observers would make precipitation observations regardless of being a CoCoRaHS volunteer, therefore their motivation is related to their inherent level of interest in weather. Others are motivated by their desire to learn more about weather and climate, they want to contribute to a scientific project, they think its fun, and/or it provides a sense of community. Because so many respondents already had knowledge and interest in weather and climate, identifying how and what people learn through participating was a challenge. However, the narrow project focus of collecting and reporting of local precipitation assisted in identifying aspects of learning. For instance, most (46.4%) observers said they increased their knowledge about the local variability in precipitation even though they had been collecting precipitation data for many years. Because the focus of the survey was to solicit participant opinions and not question their content knowledge, we were limited in our ability to unpack the issue of how people learn while engaging in the project. The next phase of this study will use a theoretical framework shaped from research in the learning sciences and based on social cognition and conceptual change to question a small subset of the volunteers about the data they collect. Citizen science projects such as CoCoRaHS provide a win-win situation for project scientists and participants. Project scientists gather necessary data for their studies, and motivated participants gain skills and knowledge related to the science content and science practices employed in the project. We discuss how these survey results can be applied to similar projects where learning is a key goal for their volunteers. We also discuss pathways for future research to identify aspects of scientific learning in the context of citizen science projects.