The mixed methods randomized experimental study assessed a model of engagement and education that examined the contribution of SciGirls multimedia to fifth grade girls’ experience of citizen science. The treatment group (n = 49) experienced 2 hours of SciGirls videos and games at home followed by a 2.5 hour FrogWatch USA citizen science session. The control group (n = 49) experienced the citizen science session without prior exposure to SciGirls. Data from post surveys and interviews revealed that treatment girls, compared to control girls, demonstrated significantly greater interest in their
Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to enable the SciStarter program to extend the promise of citizen science by connecting millions of citizen scientists with scientists in need of their help through formal and informal research projects. Citizen science is a fast growing field that engages the public in scientific inquiry through data collection projects and environmental monitoring using sensors, mini spectrometers, water testing kits and other tools. A challenge for the citizen science community has been access to the tools required to collect the types of data needed in citizen science projects. SciStarter facilitates broader participation in citizen science by reducing the barrier for volunteers to identify, acquire, and use the right scientific tools and instruments for each project. This I-Corps for Learning project will develop approaches to enable SciStarter to provide a larger number of citizen scientists with easier access to required and recommended instruments needed for meaningful participation in citizen science projects.
SciStarter aims to provide a holistic solution to the needs of citizen scientists that includes projects, support, and products such as training materials and consulting. SciStarter can be a catalyst in citizen science by connecting people to opportunities to engage and in lowering barriers to public participation in scientific research while creating a hybrid academic-consumer sustainability model. A central focus of this current effort will be establishing a sustainable and scalable means of enabling citizen scientists to obtain equipment and instruments in an efficient and cost-effective manner. The project will make use of elements already in place to expand the engagement of citizen scientists in new or multiple projects, to empower citizens in the process of citizen science, and to provide a useful, scalable and sustainable solution for scientists leading citizen science research projects. The extension of SciStarter will set the stage for greater inclusion of previously marginalized groups in citizen science activities and will extend to all forms of public engagement in science.
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
DATE:
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
This INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This summative evaluation report details the Broad Implementation of the Living Laboratory model--an initiative to promote partnership between museums and cognitive science researchers in order to promote professional learning and involve the public in scientific research. The evaluation investigated the extent of the dissemination effort’s depth, spread, sustainability, and shift in ownership, based on Coburn’s criteria for scale-up (2003). Evaluators collected data from surveys, interviews, focus groups, document review, and observations. Findings about depth suggest that adopters fully
A frequently missing element in environmental education programs is a concerted effort by communities, organizations, government, and academic stakeholders to build meaningful partnerships and cultivate informal science learning opportunities via public participation in environmental research. This collaborative approach not only makes scientific information more readily available, it also engages community members in the processes of scientific inquiry, synthesis, data interpretation, and the translation of results into action. This project will build a co-created citizen science program coupled with a peer education model and an extensive communication of results to increase environmental STEM literacy. The project targets historically underrepresented populations that are likely to be disproportionately impacted by climate, water scarcity, and food security. Based upon past needs assessments in the targeted communities, gardens irrigated by harvested rainwater will become hubs for environmental STEM education and research. For this project, gardens irrigated by harvested rainwater will serve as hubs for environmental literacy education efforts. Researchers from the University of Arizona and Sonora Environmental Research Institute will work alongside community environmental health workers, who will then train families residing in environmentally compromised areas (urban and rural) on how to monitor their soil, plant, and harvested water quality. The project aims to: (1) co-produce environmental monitoring, exposure, and risk data in a form that will be directly relevant to the participants' lives, (2) increase the community's involvement in environmental decision-making, and (3) improve environmental STEM literacy and learning in underserved rural and urban communities. The project will investigate and gather extensive quantitative and quantitative data to understand how: (1) participation in a co-created citizen science project enhances a participant's overall environmental STEM literacy; (2) a peer-education model coupled with a co-created citizen science program affects participation of historically underrepresented groups in citizen science; and (3) the environmental monitoring approach influences the participant's environmental health learning outcomes and understanding of the scientific method. In parallel, this project will evaluate the role of local-based knowledge mediators and different mechanisms to communicate results. These findings will advance the fields of informal science education, environmental science, and risk communication. Concomitantly, the project will facilitate the co-generation of a robust dataset that will not only inform guidelines and recommendations for harvested rainwater use, it will build capacity in underserved communities and inform the safe and sustainable production of food sources. This research effort is especially critical for populations in arid and semiarid environments, which account for ~40% of the global land area and are inhabited by one-third of the world's population. This program will be available in English and Spanish and can truly democratize environmental STEM research and policy. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understandings of, the design and development of STEM learning in informal environments.
Chemistry is an important and widely relevant field of science. However, when compared with other STEM content areas, chemistry is under-represented in U.S. science museums and other informal educational environments. This project will build, and build knowledge about, innovative approaches to delivering informal science learning activities in chemistry. The project will not only increase public interest and understanding of chemistry but also increase public perception of chemistry's relevance and increase the public's self-efficacy with respect to chemistry. This project outcomes will include a guide for practitioners along with activity materials that will be packaged into a kit, distributed, and replicated for use by informal science educators, chemists, and chemistry students at 250 sites across the U.S. The project team will reach out to organizations that serve diverse audiences and diverse geographic locations, including organizations in rural and inner-city areas. The kits will provide guidance on engaging girls, people with various abilities, Spanish speakers, and other diverse audiences, and include materials in Spanish. Written guides, training videos, and training slides will be included to support training in science communication in general, as well as chemistry in particular. This project is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.
This project will take an innovative approach to develop informal educational activities and materials about chemistry. Rather than starting with content goals, the project will start with a theoretical framework drawn from research about affecting attitudes about science related to interest, relevance, and self-efficacy. A design-based research approach (DBR) will be used to apply that framework to the development of hands-on educational activities about chemistry, while also testing and modifying the framework itself. (DBR blends empirical educational research with the theory-driven design of learning environments.) Existing or new educational activities that appear to embody key characteristics defined in the framework will be tested with public audiences for their impact on visitors. Researchers and educators will determine how different characteristics of the educational activities defined in the framework affect the outcomes. The activities will be modified and tested iteratively until the investigators achieve close alignment between framework and impacts.. The project team will continue the design-based research approach both to examine groups of activities in which synergies can have impacts beyond single interactions as well as to examine varied ways of training facilitators who can also significantly affect outcomes. In this way, the project will generate knowledge about how kits of hands-on informal learning activities can stimulate attitudes of interest, relevance, and self-efficacy with respect to the neglected field of chemistry. The project teams will broadly disseminate project outcomes within the educational research, science and informal Science, Technology, Engineering and Mathematics (STEM) education communities. While this project will focus on chemistry, the strategies it will develop and test through a design-based research process will provide valuable insight into effective approaches for informal STEM education more broadly.
As part of its National Science Foundation (NSF) grant, the Conservation Trust of Puerto Rico (the Trust) hired Randi Korn & Associates, Inc. (RK&A) to evaluate its Citizen Science Project. The goal of the study was to measure the project’s success against an Impact Framework, the organizing framework NSF requires for evaluation. During the life of the project, an Impact Framework serves several functions, including to (1) articulate the project goals for the NSF proposal; (2) act as a roadmap for the Trust to align project practices with the impact it intends to achieve on specific
In this chapter we present the ways in which institutional cultural differences impact the development and implementation of learning activities in informal settings. Five university-based centers for the study of chemistry worked with informal learning professionals to re-envision educational and public outreach activities about science. The projects were part of a broader effort to catalyze new thinking and innovation in informal education and chemistry centers. The set of projects illustrates the broad possibilities for informal learning settings, with projects targeting diverse audiences
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 Research in Service to Practice project will examine how a wide range of pre-college out-of-school-time activities facilitate or hinder females' participation in STEM fields in terms of interest, identity, and career choices. The study will address the ongoing problem that, despite females' persistence to degree once declaring a major in college, initially fewer females than males choose a STEM career path. To uncover what these factors might be, this study will look at the extent to which college freshmen's pre-college involvement in informal activities (e.g., science clubs, internships, shadowing of STEM professionals, museum-going, engineering competitions, citizen science pursuits, summer camps, and hobbies) is associated with their career aspirations and avocational STEM interests and pursuits. While deep-seated factors, originating in culture and gender socialization, sometimes lower females' interest in STEM throughout schooling, this study will examine the degree to which out-of-school-time involvement ameliorates the subtle messages females encounter about women and science that can interfere with their aspiration to a STEM careers.
The Social Cognitive Career Theory will serve as the theoretical framework to connect the development of interest in STEM with students' later career choices. An epidemiological approach will be used to test a wide range of hypotheses garnered from a review of relevant literature, face-to-face or telephone interviews with stakeholders, and retrospective online surveys of students. These hypotheses, as well as questions about the students' demographic background and in-school experiences, will be incorporated into the main empirical instrument, which will be a comprehensive paper-and-pencil survey to be administered in classes, such as English Composition, that are compulsory for both students with STEM interests and those without by 6500 students entering 40 large and small institutions of higher learning. Data analysis will proceed from descriptive statistics, such as contingency tables and correlation matrices, to multiple regression and hierarchical modeling that will link out-of-school-time experiences to STEM interest, identity, and career aspirations. Factor analysis will be used to combine individual out-of-school activities into indices. Propensity score weighting will be used to estimate causal effects in cases where out-of-school-time activities may be confounded with other factors. The expected products will be scholarly publications and presentations. Results will be disseminated to out-of-school-time providers and stakeholders, educators, and educational researchers through appropriate-level journals and national meetings and conferences. In addition, the Public Affairs and Information Office of the Harvard-Smithsonian Center for Astrophysics will assist with communicating results through mainstream media. Press releases will be available through academic outlets and Op-Ed pieces for newspapers. The expected outcome will be research-based evidence about which types of out-of-school STEM experiences may be effective in increasing young females' STEM interests. This information will be crucial to educators, service providers, as well as policy makers who work toward broadening the participation of females in STEM.
DATE:
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TEAM MEMBERS:
Roy GouldPhilip SadlerGerhard Sonnert