With snow providing water for about 2 billion people worldwide and playing a major role in the Earth's climate through its high albedo and insulation properties, on-going alterations in global snow resources pose real and extremely expensive societal adaptation/mitigation problems. The project goals are to:
Create opportunities for the public to learn about the vital role that snow plays in climate, water resources, and human lives.
Produce a better understanding of how culture affects informal Science, Technology, Engineering, Mathematics (STEM) learning.
The deliverables include:
An outreach program in Alaska that will visit 33 remote native villages;
A 2,000 square foot traveling exhibition on snow produced by the Oregon Museum of Science and Industry (OMSI) and exhibited at two additional museums during the life of the award;
Learning research, which will examine how the wide variation of cultural relationships to snow impacts learning in museum exhibitions. Each of these components will be evaluated over the course of the project. The travelling exhibition will tour to three museums per year for eight years, with an anticipated cumulative audience of over one million.
The focus on snow will highlight a fascinating yet under-appreciated part of the Earth system. The project aims to educate the public about snow and to produce a more informed and thoughtful public in the face of potential expensive and difficult snow-related societal decisions. Through informative displays, graphics, models, and other material, the project will engage traditionally under-served communities (at Native/remote villages) in Alaska, where a strong cultural connection to snow exists, as well as communities across the U.S. where the connection to snow can range from strong to weak. Across this cultural gradient, the project will explore through oral interviews and surveys the public response to various types and designs of informal science learning (ISL) displays, attempting to isolate and control for the effect of cultural vs. individual response to the materials. Informal learning theory specifies using front-end exploration of individual visitor-content relationships to guide exhibit design. This project's research goal expands that approach to include the effects of cultural engagement with a topic to develop more general tools to guide and improve the design process. The project is led by the University of Alaska Fairbanks (UAF) in collaboration with OMSI researchers from the COSI (Center of Science and Industry), Center for Research and Evaluation (CRE), and evaluators at the Goldstream Group. 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. The project has co-funding support from the Office of Polar Programs.
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.
Engagement is the cornerstone of learning in informal science education. During free-choice learning in museums and science centers, visitor engagement shapes how learners interact with exhibits, navigate through exhibit spaces, and form attitudes, interests, and understanding of science. Recent advances in multimodal learning analytics are creating novel opportunities for expanding the range and richness of measures of visitor engagement in free-choice settings. In particular, multimodal learning analytics offer significant potential for integrating multiple data sources to devise a composite picture of visitors' cognitive, affective, and behavioral engagement. The project will center on providing a rich empirical account of meaningful visitor engagement with interactive tabletop science exhibits among individual visitors and small groups, as well as uncovering broader tidal patterns in visitor engagement that unfold across exhibit spaces. A key objective of the project is creating models and practitioner-focused learning analytic tools that will inform the best practices of exhibit designers and museum educators. This project is funded by the Advancing Informal STEM Learning (AISL) program. As part of its overall strategy to enhance learning in informal environments, AISL funds research and innovative approaches and resources for use in a variety of settings. The research team will conduct data-rich investigations of visitors' learning experiences with multimodal learning analytics that fuse the rich multichannel data streams produced by fully-instrumented exhibit spaces with the data-driven modeling functionalities afforded by recent advances in machine learning and educational data mining. The research team will conduct a series of visitor studies of naturalistic engagement in solo, dyad, and group interactions as visitors explore interactive tabletop science exhibits. The studies will utilize eye trackers to capture visitors' moment-to-moment attention, facial expression analysis and quantitative field observations to track visitors' emotional states, trace logs generated by exhibit software, as well as motion-tracking sensors and coded video recordings to capture visitors' behavioral interactions. The studies will also use conversation recordings and pre-post assessment measures to capture visitors' science understanding and inquiry processes. With these multimodal data streams as training data, the research team will use probabilistic and neural machine learning techniques to devise learning analytic models of visitor engagement. The project will be conducted by a partnership between North Carolina State University and the North Carolina Museum of Natural Sciences. The research team will 1) design a data-rich multimodal visitor study methodology, 2) create the Visitor Informatics Platform, a suite of open source software tools for multimodal visitor analytics, and 3) launch the Multimodal Visitor Data Warehouse, a curated visitor experience data archive. Together, the multimodal visitor study methodology, the Visitor Informatics Platform, and the Multimodal Visitor Data Warehouse will enable researchers and practitioners in the informal science education community to utilize multimodal learning analytics in their own informal learning environments. It is anticipated that the project will advance the field of informal STEM learning by extending and enriching measures of meaningful visitor engagement, expanding the evidence base for visitor experience design principles, and providing learning analytic tools to support museum educators. By enhancing understanding of the cognitive, affective, and behavioral dynamics underlying visitor experiences in science museums, informal science educators will be well-positioned to design learning experiences that are more effective and engaging. 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.
DATE:
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TEAM MEMBERS:
James LesterJames MinogueJonathan RoweNorth Carolina Museum of Natural Sciences
One way to encourage youth to pursue training in the STEM fields and enter the STEM workforce is to foster interest and engagement in STEM during adolescence. Informal STEM Learning Sites (ISLS) provide opportunities for building interest and engagement in the STEM fields through a multitude of avenues, including the programming that they provide for youth, particularly teens. Frequently, ISLS provide opportunities to participate in volunteer programs, internships or work, which allow teens both to learn relevant STEM knowledge as well as to share that knowledge with others through opportunities to serve as youth educators. While youth educator programs provide rich contexts for teens to engage as both learners and teachers in these informal STEM environments, research to date has not yet identified the relationship between serving as youth educators and STEM engagement. Thus, the goal of this project is to document the impact of youth educators on visitor learning in ISLS and to identify best practices for implementing youth educator programs. The project studies STEM interests and engagement in the youth participants and the visitors that they interact with at six different ISLS in the US and UK. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments and to broaden access to and engagement in STEM learning experiences.
This project examines youth educator experiences related to STEM identity, educational aspirations, and motivation. The project also identifies outcomes that the youth educators have on visitors to ISLS in terms of knowledge, interest, and engagement in STEM. The specific aims are: 1) Outcomes for Teens - To measure the longitudinal impact of participation in an extended youth educator experience in an ISLS; 2) Outcomes for Visitors - To compare visitor engagement with and learning from exhibits in ISLS when they interact with a youth educator, relative to outcomes of interacting with an adult educator or no educator; and 3) Outcomes Across Demographics and STEM Sites - To examine differences in visitor engagement based on participant characteristics such as socio-economic status (SES), age, gender, and ethnicity and to compare outcomes of youth educator experiences across different types of ISLS. This research, which draws on expectancy value theory and social cognitive theory, will follow youth participants longitudinally over the course of 5 years and use latent variable analyses to understand the impact on the youth educators as well as the visitors with whom they interact. Importantly, the results of this research will be used to develop best practices for implementing youth educator programs in ISLS and the results will be disseminated to both academic and practice-based communities.
This project has clear and measurable broader impacts in a variety of ways. First, the project provides guidance to improve programming for youth in ISLS, including both the sites involved directly in the research and to the larger community of ISLS through evaluation, development, and dissemination of best practices. Additionally, this project provides rigorous, research-based evidence to identify and describe the outcomes of youth educator programs. This study directly benefits the participants of the research, both the visiting public and the youth educators, through opportunities to engage with science. The findings speak to issues of access and inclusivity in ISLS, providing insight into how to design environments that are welcoming and accessible for diverse groups of learners. Finally, this project provides evidence for best practices for ISLS in developing programs for youth that will lead to interest in and pursuit of STEM careers by members of underrepresented groups.
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The 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. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. The project will conduct research designed to deepen our fundamental knowledge about culture, experience, and ecosystems cognition and to develop innovative practices and approaches to support learning about changing ecological systems and environmental decision making. Work on cultural differences in the production of complex systems knowledge is severely lacking. This gap in knowledge may contribute to the continued reproduction of inequities in science education. More broadly findings from this project will have clear implications for theories of cognitive development, especially those pertaining to how knowledge is shaped by culture and experience. Focusing on ecosystems may represent an opportunity to not only increase engagement and achievement in science among non-dominant communities and Native youth specifically, but also advance effective learning for all communities. The primary deliverables for the project are conference presentations and research publications. However, the project will also develop additional resources freely available to researchers, educators, and the general public. These will include summer curricular materials and teaching tools, professional development workshops, practitioner briefs about research findings that can be used in professional development workshops and shared share more broadly, and evaluation reports.
A deeper understanding of cultural influences on conceptions of the natural world can serve to advance the educational needs of children, including children from diverse linguistic and cultural backgrounds. Project research will include two interrelated series of studies designed to expand knowledge about human cognition of complex ecosystems and the affordances of informal STEM learning environments in developing and supporting the critical 21st century skill of ecological systems level reasoning. The first consists of a series of experiments focused on ecological cognition and the role of humans in nature. The second consists of design-based research interventions in informal settings, summer workshops for youth and the communities, focused on ecological systems level thinking and socio-environmental decision making. The project will recruit and engage both child and adult participants from two broad cultural communities, Native Americans and European Americans living in urban and suburban communities, in part because it affords a sharp test of human-nature relations. Sampling from two different urban communities will avoid simple Native-non-Native comparative binaries and to conduct Native-to-Native comparative analysis. Based on results from this, the project will result in: 1) foundational knowledge about human learning and reasoning and ecosystems and environmental decision making, 2) culturally responsive models of learning and practice about complex ecosystems for indoors and outdoors informal learning environments, and 3) insights about research-practice-community partnerships. One important objective of the research is to broaden participation and close opportunity gaps for under-represented groups in STEM fields broadly and more specifically for Indigenous people. Members of Indigenous communities, who provide strong role models for other aspiring scholars, will be involved as postdoctoral fellows, research assistants and graduate fellows.
Cities and communities in the U.S. and around the world are entering a new era of transformational change, in which their inhabitants and the surrounding built and natural environments are increasingly connected by smart technologies, leading to new opportunities for innovation, improved services, and enhanced quality of life. The Smart and Connected Communities (SCC) program supports strongly interdisciplinary, integrative research and research capacity-building activities that will improve understanding of smart and connected communities and lead to discoveries that enable sustainable change to enhance community functioning. This project is a Research Coordination Network (RCN) that focuses on achieving SCC for medium/small size, remote, and rural communities through a polycentric (multiple centers) integrated policy, design, and technology approach. The communities served by the RCN have higher barriers to information, resources, and services than larger urban communities. To reduce this gap, the PIs propose to develop need-based R&D pipelines to select solutions with the highest potential impacts to the communities. Instead of trying to connect under-connected communities to nearby large cities, this proposal aims to develop economic opportunities within the communities themselves. This topic aligns well with the vision of the SCC program, and the proposed RCN consists of a diverse group of researchers, communities, industry, government, and non-profit partners.
This award will support the development of an RCN within the Commonwealth of Virginia which will coordinate multiple partners in developing innovations utilizing smart and connected technologies. The goal of the research coordination network is to enable researchers and citizens to collaborate on research supporting enhanced quality of life for medium, small, and rural communities which frequently lack the communication and other infrastructure available in cities. The research coordination network will be led by the University of Virginia. There are 14 partner organizations including six research center partners in transportation, environment, architecture and urban planning, and engineering and technology; two State and Industry partners (Virginia Municipal League and Virginia Center for Innovative Technology); four community partners representing health services (UVA Center for Telemedicine), small and remote communities (Weldon Cooper Center), neighborhood communities (Charlottesville Neighborhood Development), and urban communities (Thriving Cities); and two national partners which support high speed networking (US-Ignite) and city-university hubs (MetroLab). Examples of research coordination include telemedicine services, transportation services, and user-centric and community-centric utilization and deployment of sensor technologies.
DATE:
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TEAM MEMBERS:
Ila BermanT. Donna ChenKaren RheubanQian Cai
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings.The project plans to develop evidence-based principles to guide citizen science project owners in the coordinated management of project participants within the SciStarter landscape. SciStarter is a repository of over 1,500 citizen science (CS) projects. Through prior research, SciStarter 2.0 tools were developed which can be used to study and coordinate recruitment and retention strategies across projects. Coordinated management has the potential to deepen volunteer learning and growth and benefit project goals because it can address across-project skew (CS volunteers involved in multiple projects), evolving motivations, seasonal gaps, untapped synergies across projects, and other unanticipated factors that cannot be addressed via management within project silos. The project will increase the capacity of citizen science projects to achieve their myriad scientific, learning and conservation goals through enhanced coordination of volunteer management, facilitated by evidence-based guidance from the SciStarter's User's Manual for Project Owners. The findings of the research will guide project design and implementation towards synergies that increase the capacity of projects to generate scientific, learning, and conservation outcomes. Research about citizen scientists has focused on within-project assessments and comparisons of projects, but few have examined dynamics of recruitment, retention, and movement of individuals across projects. SciStarter is designed for embedded tracking of participation dynamics in a landscape of projects. The project will expand embedded assessment to measure scientific, learning, and conservation outcomes and their links to participation dynamics within and across projects. Through social network analysis, the project will describe patterns of bridges, ties, and distances among projects based on the cross-over of participants. The project will also propose qualitative research to understand project managers' perceptions of SciStarter and the costs and benefits of coordinated management of citizen scientists. The research is designed to provide insights into participation dynamics that will lead to subsequent knowledge building across citizen science projects, and determine whether new evidence about advantages and disadvantages of coordinated management will persuade project owners to rely less on the silo approach to volunteer management.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. The project will collaboratively design, test and study effective and efficient ways to develop embedded assessments (EAs) of citizen science (CS) volunteer scientific inquiry skills in order to better understand the impact of these CS experiences on volunteer scientific inquiry abilities. EAs are assessment activities that are integrated into the learning experience and allow learners to demonstrate their competencies in an unobtrusive way. The acquisition of scientific inquiry skills is an essential, even defining, characteristic of citizen science experiences that has a direct influence on data quality. Methods for assessing the direct impact of CS on volunteers' scientific inquiry skills are limited. The project will result in EA measures designed for use by diverse CS projects, strategies that CS projects can use to develop EA assessment tools, and research findings that document opportunities, supports and barriers of this innovative method across a range of CS contexts. Findings and initial resources will be shared with the broad array of stakeholders in CS through conferences, workshops, peer-reviewed publication, community websites and other relevant venues. The results of this work also have the potential to generalize to other informal science learning experiences that engage the public in science The project will address two research questions: (1) What processes are useful for developing broadly applicable EA methods or measures? and (2) What can we learn about gains in volunteers' scientific inquiry skills when citizen science organizations use EA? These will be addressed through design-based research focused on two streamlining strategies. For the reframing data validation strategy, six leaders from five established citizen science projects will conduct secondary analyses of their existing databases to uncover the skill gains of CS volunteers that are currently unexplored in their data. For the common measure strategy, ten CS projects will collaborate to create and test common EA measures of select identification-based skills. Data will be gathered through meeting notes, participant interviews and action plans, and volunteer skill gains to capture process and products of each strategy. Data will be analyzed using grounded theory, multiple process techniques, multilevel models, and repeated-measures analysis of variance. The design-based-research framework will significantly expand project impacts by jump-starting evaluation of the participating CS projects and by producing initial resources for two distinct EA strategies that have the potential to dramatically alter practice and impact citizen science efforts to ultimately enable more people to learn by contributing to the science endeavor. The project will directly equip the 15 participating citizen-science projects with authentic performance tools to assess the quality of their programing, which will expand their understanding of CS volunteer skills and help them better recruit and support their varied audiences (including rural, low-income and tribal communities).
One way to encourage youth to pursue training in the STEM fields and enter the STEM workforce is to foster interest and engagement in STEM during adolescence. Informal STEM Learning Sites (ISLS) provide opportunities for building interest and engagement in the STEM fields through a multitude of avenues, including the programming that they provide for youth, particularly teens. Frequently, ISLS provide opportunities to participate in volunteer programs, internships or work, which allow teens both to learn relevant STEM knowledge as well as to share that knowledge with others through opportunities to serve as youth educators. While youth educator programs provide rich contexts for teens to engage as both learners and teachers in these informal STEM environments, research to date has not yet identified the relationship between serving as youth educators and STEM engagement. Thus, the goal of this project is to document the impact of youth educators on visitor learning in ISLS and to identify best practices for implementing youth educator programs. The project studies STEM interests and engagement in the youth participants and the visitors that they interact with at six different ISLS in the US and UK. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments and to broaden access to and engagement in STEM learning experiences.
This project examines youth educator experiences related to STEM identity, educational aspirations, and motivation. The project also identifies outcomes that the youth educators have on visitors to ISLS in terms of knowledge, interest, and engagement in STEM. The specific aims are: 1) Outcomes for Teens - To measure the longitudinal impact of participation in an extended youth educator experience in an ISLS; 2) Outcomes for Visitors - To compare visitor engagement with and learning from exhibits in ISLS when they interact with a youth educator, relative to outcomes of interacting with an adult educator or no educator; and 3) Outcomes Across Demographics and STEM Sites - To examine differences in visitor engagement based on participant characteristics such as socio-economic status (SES), age, gender, and ethnicity and to compare outcomes of youth educator experiences across different types of ISLS. This research, which draws on expectancy value theory and social cognitive theory, will follow youth participants longitudinally over the course of 5 years and use latent variable analyses to understand the impact on the youth educators as well as the visitors with whom they interact. Importantly, the results of this research will be used to develop best practices for implementing youth educator programs in ISLS and the results will be disseminated to both academic and practice-based communities.
This project has clear and measurable broader impacts in a variety of ways. First, the project provides guidance to improve programming for youth in ISLS, including both the sites involved directly in the research and to the larger community of ISLS through evaluation, development, and dissemination of best practices. Additionally, this project provides rigorous, research-based evidence to identify and describe the outcomes of youth educator programs. This study directly benefits the participants of the research, both the visiting public and the youth educators, through opportunities to engage with science. The findings speak to issues of access and inclusivity in ISLS, providing insight into how to design environments that are welcoming and accessible for diverse groups of learners. Finally, this project provides evidence for best practices for ISLS in developing programs for youth that will lead to interest in and pursuit of STEM careers by members of underrepresented groups.
DATE:
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TEAM MEMBERS:
Adam Hartstone-RoseMatthew IrvinKelly Lynn MulveyElizabeth ClemensLauren ShenfeldAdam RutlandMark WinterbottomFrances BalkwillPeter McOwanKatie ChambersStephanie TylerLisa Stallard
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
Informal learning, and by extension, museums, are inherently emotional experiences, evoking feelings of awe, excitement, and curiosity. Oftentimes, museum professionals have prioritized traditionally positive emotions such as excitement and interest as being the most desirable and useful in supporting museum learning. However, prior research into naturally occurring emotions at museums found that some visitors who experienced negative emotions, such as confusion or frustration, at exhibits also reported deeper engagement and overall feelings of satisfaction (Rappolt-Schlichtmann et al., 2017). Based on these findings and similar results from formal education (D’Mello et al., 2014), this project team has worked to develop and refine a framework of strategies for creating exhibits that invoke and support visitors through the complex emotional state called productive struggle (PS) which is defined as a three-part emotional arc characterized by: 1) disequilibrium (experienced emotionally as emotions like confusion, frustration, surprise, or unease) that arises from encountering a challenging task, phenomenon, or idea, 2) persistence through the task which is supported by exhibit design scaffolds, and 3) an emotionally productive resolution tied to the source of disequilibrium or an overall sense of effortful achievement. In deliberately attending to and supporting a range of negative and positive emotions in museums, visitors can gain access to a wider variety of complex emotional experiences, including those critical to STEM learning, and have potential to broaden participation in STEM by supporting learners' diverse emotional needs and preferences.
This multidisciplinary project team consisting of researchers and exhibit professionals utilized a design-based research (DBR) process to develop, test, and refine a definition of museum-based productive struggle, and create a framework of design strategies that support PS. Three physical exhibits and a virtual exhibit were created during this multi-year project. Additionally, a summative research study was conducted with 105 youth ages 10-17 to explore: 1) whether visitors experienced the expected emotional arc of PS; 2) how exhibit design strategies supported PS; and 3) the extent of visitors’ learning and engagement at these PS exhibits.
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.