AMC's Mountain Watch is a citizen scientist monitoring program whereby hikers monitor and report the timing of alpine and mountain forest flowers bud break and flowering and document air quality from mountain vistas. Mountain Watch plant observations will aid researchers in understanding how and by what magnitude the biota on the mountains are responding to observed statistical changes in climate variables like temperature and snowmelt.
The Cyberlearning and Future Learning Technologies Program funds efforts that support envisioning the future of learning technologies and advance what we know about how people learn in technology-rich environments. Development and Implementation (DIP) Projects build on proof-of-concept work that shows the possibilities of the proposed new type of learning technology, and PI teams build and refine a minimally-viable example of their proposed innovation that allows them to understand how such technology should be designed and used in the future and that allows them to answer questions about how people learn, how to foster or assess learning, and/or how to design for learning. This project is building and studying a new type of online learning community. The WeatherBlur community allows kids, teachers, scientists, fishermen/fisherwomen, and community members to learn and do science together related to the local impacts of weather and climate on their coastal communities. Members of the community propose investigations, collect and share data, and learn together. WeatherBlur is designed to be a new form of knowledge-building community, the Non-Hierarchical Online Learning Community. Unlike other citizen science efforts, there is an emphasis on having all members of the community able to propose and carry out investigations (and not just help collect data for investigations designed by expert scientists or teachers). Prior research has demonstrated important structural differences in WeatherBlur from other citizen science learning communities. The project will use social network analysis and discourse analysis to measure learning processes, and Personal Meaning Mapping and embedded assessments of science epistemology and graph interpretation skills to examine outcomes. The measures will be used to explore knowledge-building processes and the scaffolds required to support them, the negotiation of explanations and investigations across roles, and the epistemic features that drive this negotiation process. The work will be conducted using an iterative design-based research process in which the prior functioning WeatherBlur site will be enhanced with new automated prompt and notification systems that support the non-hierarchical nature of the community, as well as tools to embed assessment prompts that will gauge participants' data interpretation skills and epistemic beliefs. Exponential random graph modeling will be used to analyze the social network analysis data and test hypotheses about the relationship between social structures and outcomes.
Youth Volunteer Interpreters as Facilitators of Learning about Climate Change in Zoo Settings reports on a project to pilot test climate change education resources featuring youth volunteer interpreters as facilitators for zoo visitors’ experiences. Brookfield Zoo tested inquiry-based and specimen-based interpretation at the polar bear and Humboldt penguin exhibits, and Woodland Park Zoo tested a climate-change themed "activity cart" near their Sumatran tiger exhibit. Both the effects of youth volunteer interpretation on the zoo visitors and on the youth volunteer interpreters themselves were
Although informal learning environments have been studied extensively, ours is one of the first studies to quantitatively assess the impact of learning in botanical gardens on students' cognitive achievement. We observed a group of 10th graders participating in a one-day educational intervention on climate change implemented in a botanical garden. The students completed multiple-choice questionnaires in a pre-post-retention test design. Comparing the test scores revealed a significant short-term knowledge gain as well as a long-term knowledge gain. Consequently, our results show the potentials
Mobile technology can be used to scaffold inquiry-based learning, enabling learners to work across settings and times, singly or in collaborative groups. It can expand learners’ opportunities to understand the nature of inquiry whilst they engage with the scientific content of a specific inquiry. This Sharples et al. paper reports on the use of the mobile computer-based inquiry toolkit nQuire. Teachers found the tool useful in helping students to make sense of data from varied settings.
Socioscientific issues in connection to energy production, use or influence on climate change continue to be at the forefront of local, national, and global debates. The pressing nature of these issues requires citizens not only to understand relevant disciplinary knowledge but also to have the ability to use that knowledge to take action. This paper investigates the work of youth in an after school science program designed to examine socioscientific issues as they took educated action in science by putting on a “green carnival” for their peers and community members in relation to green energy