Informal learning environments offer a range of educational observations. Lately, many venues have adopted livestreaming and digital archiving, both as additional access for a wider offsite audience and as alternative ways to engage the onsite audience. Students can observe animals and plants from a different continent through a live camera feed, or they can watch an online recording of a science experiment even if they missed the live demonstration. However, livestreamed or archived observations remain a mostly passive experience, offering limited interactions beyond watching the videos. One way to create more active learning opportunities from these observations is to use sensors such as thermal cameras as additional streaming devices, which transmit real-time images and data that not only reveal more about what is being observed, but also allow the audience to ask deeper questions, find answers by interacting with the data, apply science knowledge in a relevant context, and become an active participant in scientific inquiry.
This project has created Telelab, a cloud platform for livestreaming and archiving interactive observations to promote citizen science. Powered by the Internet of things (IoT), Telelab allows informal science educators to present exhibits, living organisms or ecosystems through the use of sensors and actuators. Audiences both onsite and offsite can visualize biological processes in situ, such as thermoregulation, thermogenesis, metabolism, etc., or they can investigate physics and chemistry experiments by analyzing experimental data in combination with the video stream.
This work is funded by The Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments; provide multiple pathways for broadening access to and engagement in STEM learning experiences; advance innovative research on and assessment of STEM learning in informal environments; and engage the public of all ages in learning STEM in informal environments.
There is an increasing recognition globally of the role to be played by community science –scientific research and monitoring driven and controlled by local communities, and characterized by place-based knowledge, social learning, collective action and empowerment. In particular, community science can support social-ecological system transformation, and help in achieving better ‘fit’ between ecological systems and governance, at local and higher levels of decision making. This paper draws on three examples of communities as central actors in the process of knowledge co-production to present a
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TEAM MEMBERS:
Anthony CharlesLaura LoucksFikret BerkesDerek Armitage
Peer production projects involve people in many tasks, from editing articles to analyzing datasets. To facilitate mastery of these practices, projects offer a number of learning resources, ranging from project-defined FAQsto individually-oriented search tools and communal discussion boards. However, it is not clear which project resources best support participant learning, overall and at different stages of engagement. We draw on Sørensen's framework of forms of presence to distinguish three types of engagement with learning resources: authoritative, agent-centered and communal. We assigned
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TEAM MEMBERS:
Corey Brian JacksonCarsten OsterlundKevin CrowstonMahboobeh HarandiLaura Trouille
Informal learning institutions (ILIs) create opportunities to increase public understanding of science and promote increased inclusion of groups underrepresented in Science, Technology, Engineering, and Math (STEM) careers but are not equally distributed across the United States. We explore geographic gaps in the ILI landscape and identify three groups of underserved counties based on the interaction between population density and poverty percentage. Among ILIs, National Park Service lands, biological field stations, and marine laboratories occur in areas with the fewest sites for informal
Final External Evaluation Report for Informal STEM Learning at Biological Field Stations, an NSF AISL Exploratory Pathways project, which studied the pedagogical and andragogical characteristics of informal educational outreach activities at field stations. This report summarizes the project team’s major research activities and the contextual factors that supported that work.
Appendix includes interview protocol.
Refugee youth are particularly vulnerable to STEM disenfranchisement due to factors including limited or interrupted schooling following displacement; restricted exposure to STEM education; and linguistic, cultural, ethnic, socioeconomic, and racial minority status. Refugee youth may experience a gap in STEM skills and knowledge, and a conflict between the identities necessary for participation in their families and communities, and those expected for success in STEM settings. To conduct research to better understand these challenges, an interrelated set of activities will be developed. First, youth will learn principles of physics and computing by participating in cosmic ray research with physicists using an instructional approach that builds from their home languages and cultures. Then youth periodically share what they are learning in the cosmic ray research with their parents, siblings, and science teachers at family and community science events. Finally, youth conduct reflective research on their own STEM identity development over the course of the project. Research on learning will be conducted within and across these three strands to better understand how refugee youth develop STEM-positive identities. This project will benefit society by improving equity and diversity in STEM through (1) creating opportunities for refugee youth to participate in physics research and to develop computing skills and (2) producing knowledge on STEM identity development that may be applied more broadly to improve STEM education. Deliverables from this project include: (a) research publications on STEM identity and learning; (b) curriculum resources for teaching physics and computing to multilingual youth; (c) an online digital storytelling exhibit offering narratives about belonging in STEM research which can be shared with STEM stakeholders (policy makers, scientists, educators, etc.); and (d) an online database of cosmic ray data which will be available to physicists worldwide for research purposes. This Innovations in Development proposal is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This program is designed to provide multiple contexts, relationships, and modes across and within which the identity work of individual students can be studied to look for convergence or divergence. To achieve this goal, the research applies a linguistic anthropological framework embedding discourse analysis in a larger ethnography. Data collected in this study include field notes, audio and video recordings of naturalistic interactions in the cosmic ray research and other program activities, multimodal artifacts (e.g., students' digital stories), student work products, interviews, and surveys. Critically, this methodology combines the analysis of identity formation as it unfolds in moment-to-moment conversations (during STEM learning, and in conversations about STEM and STEM learning) with reflective tasks and the production of personal narratives (e.g., in digital stories and interviews). Documenting convergence and divergence of STEM identities across these sources of data offers both methodological and theoretical contributions to the field. The research will offer thick description of the discursive practices of refugee youth to reveal how they construct identities related to STEM and STEM disciplines across settings (e.g., during cosmic ray research, while creating digital stories), relationships (e.g., peer, parent, teacher), and the languages they speak (e.g., English, Swahili). The findings will be of potential value to instructional designers of informal learning experiences including those working with afterschool, museums, science centers and the like, educators, and scholars of learning and identity.
This Innovations in Development award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Tino NyaweloJohn MatthewsJordan GertonSarah Braden
This Pilot and Feasibility project will investigate: a) the kinds of learning outcomes that occur in an informal STEM project utilizing a Critical Environmental Justice-informed Participatory Action Research framework, co-created between researchers and homeless communities, and b) the challenges and opportunities that arise in evaluating such collaborative projects. To address these questions, a team of university and community researchers will work with two self-organized homeless communities, in Portland, OR and Baltimore, MD, to systematically examine air quality at their sites and further develop a multimedia environmental justice toolkit. The toolkit is aimed at equipping homeless communities with STEM-based information and approaches to learn about and address various environmental hazards. Homeless people are disproportionately vulnerable to the impacts of air and soil pollution, rodents, extreme weather, floods, fires, and other hazards. This collaboration will study STEM learning outcomes related to the broader historical socio-political context in which people are living. The project also anticipates finding ways to adapt evaluation processes to better suit the needs of marginalized groups participating in informal STEM projects.
Guided by this integrated framework, the team will undertake participant observation, interviews, focus groups, and document analysis to assess learning. It also anticipates gaining insights into how evaluation processes may be adapted to better suit the needs of marginalized groups participating in informal STEM learning. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Chris HawnMelanie MaloneErin GoodlingDillon MahmoudiAnthony Levenda
An ecosystems model of learning suggests there are critical partners within and across a community that support learning across the lifespan. These school-community partnerships, developed with shared accountability and goals, are essential to rural students given the lack of economic and geographic access to such services. Youth in rural areas may have limited opportunities to engage with professionals. The team proposes to overcome this gap by capitalizing on the wide-spread interest in archaeology to teach critical thinking using STEM concepts and testing components of a partnership program. This project will advance knowledge on multidisciplinary STEM education by iteratively developing and researching an after-school program in which youth engage in multidisciplinary inquiry in the context of archeology. Mentored by archaeologists, rural youth and citizen scientists will use concepts and tools drawn from biology, ecology, geospatial science, mathematics, physics, and data science to identify and answer questions related to the history of their local region. An outcome of this project will be a road map for moving from a feasibility project to a larger implementation project locally and an understanding of community partnerships engaging more broadly.
Researchers at SUNY Binghamton will conduct a mixed-methods research study that examines the ways in which participation in a multidisciplinary after-school archaeology program supports the development of STEM identities among rural youth in sixth through eighth grades. The research team will use content analysis to analyze field notes from observations, as well as transcripts from focus groups and interviews with the youth. They will use inferential statistics to explore changes in the youths' STEM identity using an identity survey, which will be administered to the youth before and after participation in the program. Additionally, the research team will conduct qualitative research that explores shifts in the afterschool program providers' perceptions about supporting middle school youth as STEM learners. The program providers are comprised of graduate and undergraduate archaeology students, citizen scientists, and professional archaeologists. The course modules developed for the after-school program will be disseminated through professional networks and organizations dedicated to archaeologists and informal educators, and empirical findings will be shared widely via peer-reviewed publications. This project is funded by the Advanced Informal STEM Learning (AISL) program. As part of its overall strategy to enhance learning in informal environments, the AISL program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
This Pilots and Feasability Studies award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This Innovations in Development project addresses the need to broaden girls' participation in STEM studies and career pathways. While women make up 47% of the U.S. workforce, they hold only 28.3% of STEM jobs and only 1 in 10 employed engineers and scientists are minority women. Girls of low socioeconomic status start losing interest and confidence in STEM during middle school, and this decline often continues as girls get older. Multiple sociocultural barriers contribute to girl's loss of confidence including gender and ethnic stereotypes; lack of culturally responsive programming; limited exposure to women role models; and few or no hands-on STEM experiences. This project builds upon the success of SciGirls, the PBS television show and national outreach program, which provides professional development on research-based gender equitable and culturally responsive teaching strategies designed to engage girls in STEM. It is a collaboration between Twin Cities Public Television, the Cornell Lab of Ornithology, and the National Park Service. The project's goal is to create media-rich citizen science experiences for girls, particularly girls of color and/or from rural areas, which broaden their STEM participation, build positive STEM identities and increase girls' understanding of scientific concepts, while leveraging citizen science engagement at national parks. Project deliverables include 1) creating five new PBS SciGirls episodes that feature real girls working with women mentors in 16 National Parks, 2) producing five new role model videos of women National Park Service STEM professionals, nationally disseminated on multiple PBS platforms, 3) providing professional development for educators and role models. This project will increase access to STEM education for girls of color and/or from rural areas, inspiring and preparing them for future STEM workforce participation. It will build the capacity of educators and National Park Service women role models to create educational and professional programs that are welcoming to girls of varying racial, ethnic, socioeconomic, and geographic backgrounds. SciGirls' massive reach to diverse audiences via PBS broadcast and multiple PBS digital platforms will amplify public scientific literacy, particularly for 21st- century audiences that connect, learn and live online.
The research study conducted by the Cornell Lab of Ornithology will address these questions: 1) To what extent does the use of culturally responsive and gender equitable multimedia in citizen science programming affect girls' learning outcomes, and contribute to the development of positive STEM identity' 2) how will their experiencing citizen science in the parks influence girls' connection to nature? At the beginning of the project all participating girls (n=160) will complete a survey on their interest in science, efficacy for doing science, and knowledge of citizen science and project-specific subject matter. Researchers will use the suite of DEVISE instruments most of which have been validated for youth to measure these constructs. To measure connection to nature, researchers will use the Connection to Nature Index, a scale developed for children. Interviews with the girls will be used to obtain qualitative data to supplement the survey data. Pre-post data will be analyzed to determine the influence of the culturally responsive media and experiences on girls' STEM identities. Researchers will share findings with the project evaluator to triangulate data between educators' implementation of the strategies and girls' learning outcome providing a more holistic picture of the overall program.
This Innovations in Development award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Policymakers need data to make informed decisions. Local governments need data to justify policies like bans on single-use plastics. Federal agencies need information to set the conservation guidelines that protect endangered species. Data are also required to report on progress towards international policy targets, like the UN Sustainable Development Goals (SDGs).
But worldwide, we don’t have enough data to understand the current state of our environment, or effectively evaluate the impact of interventions. In 2018, Washington, DC banned plastic drinking straws while citing evidence that 3
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TEAM MEMBERS:
Anne BowserAlex LongMetis MelocheElizabeth NewburyMeg King
A team of experts from five institutions (University of Minnesota, Adler Planetarium, University of Wyoming, Colorado State University, and UC San Diego) links field-based and online analysis capabilities to support citizen science, focusing on three research areas (cell biology, ecology, and astronomy). The project builds on Zooniverse and CitSci.org, leverages the NSF Science Gateways Community Institute, and enhances the quality of citizen science and the experience of its participants.
This project creates an integrated Citizen Science Cyberinfrastructure (CSCI) framework that expands the capacity of research communities across several disciplines to use citizen science as a suitable and sustainable research methodology. CSCI produces three improvements to the infrastructure for citizen science already provided by Zooniverse and CitSci.org:
Combining Modes - connecting the process of data collection and analysis;
Smart Assignment - improving the assignment of tasks during analysis; and
New Data Models - exploring the Data-as-Subject model. By treating time series data as data, this model removes the need to create images for classification and facilitates more complex workflows. These improvements are motivated and investigated through three distinct scientific cases:
Biomedicine (3D Morphology of Cell Nucleus). Currently, Zooniverse 'Etch-a-Cell' volunteers provide annotations of cellular components in images from high-resolution microscopy, where a single cell provides a stack containing thousands of sliced images. The Smart Task Assignment capability incorporates this information, so volunteers are not shown each image in a stack where machines or other volunteers have already evaluated some subset of data.
Ecology (Identifying Individual Animals). When monitoring wide-ranging wildlife populations, identification of individual animals is needed for robust estimates of population sizes and trends. This use case combines field collection and data analysis with deep learning to improve results.
Astronomy (Characterizing Lightcurves). Astronomical time series data reveal a variety of behaviors, such as stellar flares or planetary transits. The existing Zooniverse data model requires classification of individual images before aggregation of results and transformation back to refer to the original data. By using the Data-as-Subject model and the Smart Task Assignment capability, volunteers will be able to scan through the entire time series in a machine-aided manner to determine specific light curve characteristics.
The team explores the use of recurrent neural networks (RNNs) to determine automated learning architectures best suited to the projects. Of particular interest is how the degree to which neighboring subjects are coupled affects performance. The integration of existing tools, which is based on application programming interfaces (APIs), also facilitates further tool integration. The effort creates a citizen science framework that directly advances knowledge for three science use cases in biomedicine, ecology, and astronomy, and combines field-collected data with data analysis. This has the ability to solve key problems in the individual applications, as well as benefiting the research of the dozens of projects on the Zooniverse platform. It provides benefits to researchers using citizen scientists, and to the nearly 1.6 million citizen scientists themselves.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research on Learning in Formal and Informal Settings, within the NSF Directorate for Education and Human Resources.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.