The Aldrich Contemporary Art Museum will amplify its partnership with Hart Magnet School, a Title 1 elementary school in urban Stamford, Connecticut, by increasing exposure and access to the arts for first-fifth graders, their families, and educators. A new program model, leveraging the museum's artist exhibitions, will focus on technology and an inquiry-based approach to science. Students, educators, and families will be encouraged to see and think in new ways through on-site STEAM tours at the museum, artist-led workshops at Hart, teacher professional development, and afterschool family activities. Outside evaluators will work with the project team to develop goals and associated metrics to measure how the model of museum-school partnership can enhance student achievement, engage families more deeply in their child's school experience and community, and contribute to teacher professional development. The evaluator will also train museum staff on best practices for program assessment.
Future City, operating since 1992, is “a national, project-based learning experience where students in sixth, seventh, and eighth grade imagine, design, and build cities of the future. Students work as a team with an educator and engineer mentor to plan cities using SimCityTM software, research and write solutions to an engineering problem, build tabletop scale models with recycled materials, and present their ideas before judges at regional competitions in January. Regional winners represent their region at the National Finals in Washington, DC in February.
Future City’s cross-curricular
Sense-making with data through the process of visualization—recognizing and constructing meaning with these data—has been of interest to learning researchers for many years. Results of a variety of data visualization projects in museums and science centers suggest that visitors have a rudimentary understanding of and ability to interpret the data that appear in even simple data visualizations. This project supports the need for data visualization experiences to be appealing, accommodate short and long-term exploration, and address a range of visitors’ prior knowledge. Front-end evaluation
Engaging with Tinkering is a highly stimulating and complex experience and invites rich reflections from museum practitioners and teachers. "Tinkering as an inclusive approach for building STEM identity and supporting students facing disadvantage or with low science capital” presents the reflective practice process and tools designed by the "Tinkering EU: Building Science Capital for All" project aiming to understand in more depth the potential impact of using a Tinkering approach with students facing disadvantage. Using tools specifically designed to help teachers observe their students
The goal of the National Science Foundation?s Research Coordination Network (RCN) program is to advance a field or create new directions in research or education by supporting groups of investigators to communicate and coordinate their research, training and educational activities across disciplinary, organizational, geographic and international boundaries. This RCN will bring together scholars and practitioners working at the intersection of equity and interdisciplinary making in STEM education. Making is a culture that emphasizes interest-driven learning by doing within an informal, peer-led and creative social environment. Hundreds of maker spaces and maker-oriented classroom pedagogies have developed across the country. Maker spaces often include digital technologies such as computer design, 3-D printers, and laser cutters, but may also include traditional crafts or a variety of artist-driven creations. The driving purpose of the project is to collectively broaden STEM-focused maker participation in the United States through pursuing common research questions, sharing resources, and incubating emergent inquiry and knowledge across multiple working sites of practice. The network aims to build capacity for research and knowledge, building in consequential and far-reaching mechanisms to leverage combined efforts of a core group of scholars, practitioners, and an extended network of formal and informal education partners in urban and rural sites serving people from groups underrepresented in STEM. Maker learning spaces can be particularly fruitful spaces for STEM learning toward equity because they foster interest-driven, collective, and community-oriented learning in making for social and community change. The network will be led by a team of multi-institutional and multi-disciplinary researchers from different geographic regions of the United States and guided by a steering committee of prominent researchers and practitioners in making and equity will convene to facilitate network activities.
Equitable processes are rooted in a commitment to understand and build on the skills, practices, values, and knowledge of communities marginalized in STEM. The research network aims to fill in gaps in current understandings about making and equity, including the many ways different projects define equity and STEM in making. The project will survey the existing research terrain to develop a dynamic and cohesive understanding of making that connects to learners' STEM ideas, communities, and historical ways of making. Additionally, the network will collaboratively develop central research questions for network partners. The network will create a repository for ethical and promising practices in community-based research and aggregate data across sites, among other activities. The network will support collaboration across a multiplicity of making spaces, research institutions, and community organizations throughout the country to share data, methodologies, ways of connecting to local communities and approaches to robust integration of STEM skills and practices. Project impacts will include new research partnerships, a dissemination hub for research related to making and equity, professional development for researchers and practitioners, and leveraging collective research findings about making values and practices to improve approaches to STEM-rich making integration in informal learning environments. The project is funded by NSF's Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of settings. 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.
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.
Learning to See, Seeing to Learn is a National Science Foundation-funded project to develop www.macroinvertebrates.org, a digital observation tool and set of informational resources that can supplement volunteer biomonitoring trainings and improve aquatic macroinvertebrates identification. Project researchers are interested in how trainers and volunteers use the tool, as well as how training that incorporates the tool impacts volunteers’ confidence in and accuracy around aquatic macroinvertebrates identification. In November 2018, project partner, Stroud Water Research Center, conducted a
The National Federation of the Blind (NFB), in partnership with scholars from Utah State University and educators from the Science Museum of Minnesota (SMM), has developed the Spatial Ability and Blind Engineering Research (SABER) project to assess and improve the spatial ability of blind teens in order to broaden their participation in STEM fields. The goals of the project include:
Contribute to the knowledge base of effective practices regarding informal STEM education for the blind, particularly relating to the development of spatial reasoning abilities.
Educate families, blind
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 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 goal of this project is to make 21st century quantum science comprehensible and engaging to non-expert informal adult learners. This project has strong potential to add new knowledge about the public's perception and understanding of quantum physics. This scientific content is often difficult for informal audiences to grasp, and there are relatively few accessible learning resources for a non- professional audience. The development of this online, interactive resource with short animations, graphics, and simulations has strong potential to fill this gap. It will develop a visually driven online resource to engage non-expert audiences in understanding the basics of quantum physics. The web design will be modular, incorporating many multimedia elements and the structure will be flexible allowing for future expansion. All content would be freely available for educational use. There is potential for extensive reach and use of the resources by informal adult learners online as well as learners in museums, science centers, and schools. Project partners are the Joint Quantum Institute at the University of Maryland and the National Institute of Standards and Technology, College Park. An independent evaluation of the project will add new knowledge about informal learners' perceptions and/or knowledge about quantum science and technology. An initial needs assessment via focus groups with the general public will be designed to find out more about what they already know about quantum physics topics and terminology, as well as what they want to know and what formats they prefer (games, simulations, podcasts, etc.). In person user testing will be used with early versions of the project online resource using a structured think-aloud protocol. Later in year 1 and 2, online focus groups with the general public will be conducted to learn what they find engaging and what they learned from the content. Iterative feedback from participants during the formative stage will guide the development of the content and format of the online resources. The Summative Evaluation will gather data using a retrospective post-survey embedded with a pop-up link on the Atlas followed by interviews with a subset of online users. Google Analytics will be used to determine the breadth and depth of their online navigation, what resources they download, and what websites they visit afterward. A post-only survey of undergraduate and graduate students who participated in resource development will focus on changes in students' confidence around their science communication skills and level of quantum physics understanding.
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