Increasing use of smartphones has provided new opportunities for both science education and data gathering. In a collaboration between Kent State University, Cuyahoga Valley National Park, and Cleveland Metroparks, we have developed a mobile application that provides users with an immersive, informal learning experience. The goals of the project are to develop and test an app designed for informal science learning, use the app to assess six strands of informal science learning, and test whether the app can be used to increase participation in science through development of citizen scientists. Using open source tools we developed a map-based smartphone app, database, and web interface for setting up information items that pop-up at points in parks as users explore. These can be organized into adventure tracks for a focused educational goal, and assessment through pop-up questions is built into the app. The web interface can also be used to view and download results of assessments and other data like the GPS tracks from logged in users, showing where they spent their time.
Results/Conclusions
The app currently gives users access to just-in-time information as they explore various habitats and as they encounter unknown plants and animals. They can request help identifying what they see through iNaturalist. Users can also follow pre-created adventures that guide them through the parks, asking and answering important scientific questions. In addition to seeking and gaining information, visitors can become citizen scientists, supporting specific projects by uploading photos and answering questions after being trained in the app. We have developed a statistically valid assessment of the six strands of informal science learning. Elements of this assessment will be delivered in pre- and post-assessments of the six strands. Citizen science projects being built into the app are at various stages of completion. One trains users to find and photograph large trees throughout the park. Another is helping to gather photos and location data for turtles throughout both park systems. We are using this app to decide the best way to share data on turtle diversity without giving poachers information that would lead to declines in threatened and endangered species. Finally, a third citizen science project is being designed to train users to identify, photograph, and report beech trees infected with a newly discovered leaf disease.