AHA! Island is a new project that uses animation, live-action videos, and hands-on activities to support joint engagement of children and caregivers around computational thinking concepts and practices. This research is intended to examine the extent to which the prototyped media and activity sets support the project’s learning goals. Education Development Center (EDC), WGBH’s research partner for the project, conducted a small formative study with 16 English-speaking families (children and their caregivers) to test out these media and activity set prototypes. During the in-person video
The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.
The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
The Sustainability Teams Empower and Amplify Membership in STEM (S-TEAMS), an NSF INCLUDES Design and Development Launch Pilot project, will tackle the problem of persistent underrepresentation by low-income, minority, and women students in STEM disciplines and careers through transdisciplinary teamwork. As science is increasingly done in teams, collaborations bring diversity to research. Diverse interactions can support critical thinking, problem-solving, and is a priority among STEM disciplines. By exploring a set of individual contributors that can be effect change through collective impact, this project will explore alternative approaches to broadly enhance diversity in STEM, such as sense of community and perceived program benefit. The S-TEAMS project relies on the use of sustainability as the organizing frame for the deployment of learning communities (teams) that engage deeply with active learning. Studies on the issue of underrepresentation often cite a feeling of isolation and lack of academically supportive networks with other students like themselves as major reasons for a disinclination to pursue education and careers in STEM, even as the numbers of underrepresented groups are increasing in colleges and universities across the country. The growth of sustainability science provides an excellent opportunity to include students from underrepresented groups in supportive teams working together on problems that require expertise in multiple disciplines. Participating students will develop professional skills and strengthen STEM- and sustainability-specific skills through real-world experience in problem solving and team science. Ultimately this project is expected to help increase the number of qualified professionals in the field of sustainability and the number of minorities in the STEM professions.
While there is certainly a clear need to improve engagement and retention of underrepresented groups across the entire spectrum of STEM education - from K-12 through graduate education, and on through career choices - the explicit focus here is on the undergraduate piece of this critical issue. This approach to teamwork makes STEM socialization integral to the active learning process. Five-member transdisciplinary teams, from disciplines such as biology, chemistry, computer and information sciences, geography, geology, mathematics, physics, and sustainability science, will work together for ten weeks in summer 2018 on real-world projects with corporations, government organizations, and nongovernment organizations. Sustainability teams with low participation by underrepresented groups will be compared to those with high representation to gather insights regarding individual and collective engagement, productivity, and ongoing interest in STEM. Such insights will be used to scale up the effort through partnership with New Jersey Higher Education Partnership for Sustainability (NJHEPS).
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Amy TuiningaAshwani VasishthPankaj Lai
The Montana Girls STEM Collaborative brings together organizations and individuals throughout Montana who are committed to informing and motivating girls to pursue careers in STEM – Science, Technology, Engineering and Mathematics. The Collaborative offers professional development, networking and collaboration opportunities to adults who offer and/or support STEM programs for girls and other youth typically under-represented in STEM. The vision of Montana Girls STEM is that every young person in Montana has the opportunity to learn about STEM careers and feels welcome pursuing any dream they
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Suzi TaylorRay CallawayCathy Witlock
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.
In this article, science center and museum professionals from around the world share ways that they are engaging visitors in hands-on innovation. Work from the following organizations are discussed: Exploratorium, Discovery Center of Idaho, Lawrence Hall of Science, Iridescent, Conner Prairie Interactive History Park, Ideum, Discovery Place, Ontario Science Centre, Bootheel Youth Museum, Science Centre Singapore, Children's Museum of Phoenix, Discovery Museums (Acton, MA), Discovery Center of Springfield, Missouri, Museum of Science, Boston, Questacon--The National Science and Technology
The Center for Advancement of Informal Science Education (CAISE), a cooperative agreement with the National Science Foundation Advancing Informal STEM Learning (AISL) program, is a partnership of the Association of Science-Technology Centers with faculty and professionals from the University of Pittsburgh Center for Learning in Out-of-School Environments (UPCLOSE), Oregon State University (OSU), the Great Lakes Science Center, KQED Public Media, advisors and other collaborators. CAISE works to support and resource ongoing improvement of, and NSF investments in, the national infrastructure for informal Science Technology Engineering and Mathematics (STEM) education. CAISE's roles are to build capacity and support continued professionalization for the field by fostering a community that bridges the many varied forms in which informal STEM learning experiences are developed and delivered for learners of all ages. To that end, CAISE activities also include: creating field-driven evidence databases about the impacts of informal STEM education; facilitating federated searches of those databases; furthering dialogue and knowledge transfer between learning research and practice; working to enhance the quality and diversity of evaluation knowledge and processes; and helping STEM researchers improve their efforts in informal STEM education, outreach and communication. For Principal Investigators (PIs) and potential PIs, CAISE provides resources that can assist in the development of evidence-based proposals. It also facilitates and strengthens networks through PI meetings, communications, and other methods that encourage sharing of deliverables, practices, outcomes and findings across projects. For the AISL Program at NSF, CAISE is assisting program officers in understanding the portfolio of awards, identifying the portfolio's impacts in key areas, and integrating the program's investments in education infrastructure.
This pathways project will study how audiences in public spaces, in this case those in a museum setting, relate to and make sense of large data displays. The project is preliminary to development of a traveling, hands-on exhibition enabling users to create and utilize representations of big data displays such as maps and charts. As the test case, the project will use science maps that provide an overview of science generally and specific areas of STEM, charting and exploring the history and future of science and technology. The data collection portion of the project will take place at the New York Hall of Science, the Marian Koshland Science Museum, COSI in Columbus, Ohio, and WonderLab Museum in Bloomington, Indiana. The project will create a foundation for the design of museum exhibits and educational programs that teach museum visitors how to explore, engage and make better sense of big data. The project is potentially transformative because big data is becoming ubiquitous and making sense out of large data displays is necessary in order to understand big data sets.
Expanding on the encouraging outcomes of an NSF-funded conference, this three-year project led by the National Center for Science and Civic Engagement at Harrisburg University of Science and Technology, in collaboration with the Koshland Science Museum of the National Academy of Sciences, will explore and evaluate ways to support new collaborations between professionals in institutions of higher education and informal STEM education around areas of common interest. The primary goal is to develop the educational infrastructure to grow and efficiently sustain multiple cross-organizational partnership activities at the intersection of learning about science, society and civic engagement around such possible topics as energy, environment, genetics, earth resources, computers and ethics, nanotechnology, etc. The initiative is: 1) creating a joint organizing "secretariat" to provide communications and support through low-cost shared services for at least six partnerships around the country; 2) providing partnership support and technical assistance to seed the six national partnerships, and 3) sharing evaluation and analysis services across all the partnerships. The outcomes of the work pertain to improvements in professional knowledge and practice in higher education and informal science education, as well as the improvement of learning by undergraduates and by the general public.
Portal to the Public: Expanding the National Network (PoP: ENN) is implementing around the county the successful NSF-funded Portal to the Public model in which researchers are trained to communicate and interact with the general public at informal science education (ISE) institutions about the research that they are conducting. The project, which follows on a thorough evaluation of the model at eight sites and current implementation at an additional fifteen sites, will incorporate twenty new ISE sites into the growing network, provide training and mentorship to ISE professionals on the use and adaptation of the PoP implementation manual and toolkits, and develop an enhanced network website that will serve as a communication and innovation hub. The work is responsive to the needs and activities of ISE organizations which continue to expand their missions beyond presenting to the public established science, technology, engineering and math (STEM) and are working to become places where visitors can also experience the process and promise of current research via face-to-face interactions with researchers. The project is expanding both the kind and number of institutions involved around the country and is facilitating their capacity to develop a knowledge base, share experiences and best practices.
When it comes to STEM education, the nation’s K–12 public schools cannot do it all. The nature of 21st century proficiency in science, technology, engineering, and mathematics is too complex for any single institution. The good news is that schools do not have to do it alone. Museums, zoos, nature centers, aquariums, and planetariums are among the several thousand informal science institutions in the United States that regularly engage young people in observing, learning, and using STEM knowledge and skills. Providing a richness of resources unavailable in any classroom, informal science
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Community for Advancing Discovery Research in Education (CADRE)