Glaciers around the world are undergoing dramatic changes. Many people, however, have a limited understanding of the scope of these changes because they are geographically distant and difficult to visualize. Although both digital learning tools and online scientific data repositories have greatly expanded over the last decade, there is currently no interface that brings the two together in a way that allows the public to explore these rapidly changing glacial environments. Therefore, to both improve public understanding and provide greater access to already existing resources, the project team will develop the Virtual Ice Explorer to encourage informal learning about glacial environments. This web application will feature an immersive virtual environment and display a suite of environmental data for an array of Earth's glacial systems. An interactive globe will allow users to select from a collection of sites ranging from polar regions to tropical latitudes. Each featured site will offer users an opportunity to interact with (1) a 3D rendering of the landscape; (2) a local map of the site; (3) historical and contemporary photographs of the site; (4) background information text describing the location, past research, and climate impacts; and (5) available environmental data. One of the most original features of the application will be its realistic, immersive 3D rendering of glacial landscapes by combining very high-resolution digital elevation models and satellite imagery with the application's built-in capabilities for immersive virtual environments. Although immersive environments often require expensive equipment, we are maximizing accessibility by developing the Virtual Ice Explorer to run in a web browser and function across various devices. Thus, the application will be available to anyone with internet access, and they can explore at their own pace.
As part of the successful development of Virtual Ice Explorer, the project team will create a platform for digital elevation models to be visualized and explored in 3D by users within the web application; curate digital elevation models, maps, images, text, and environmental data for inclusion in the web application for up to 11 geographically diverse glaciers/glacial landscapes; iteratively user-test the web application with project partners; and design the architecture of the system to readily scale to a larger collection of glaciers/glacial landscapes. To extend dissemination of the final products, the team has partnered with the U.S. Geologic Survey to showcase four benchmark glaciers in their long-term Glaciers and Climate project. In addition to improving understanding of glacier systems in informal learning environments, the project team will explore applications for spatial learning, employment of 3D environments for educational interventions, and use of Virtual Ice Explorer in formal learning environments. 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 also has support from the Office of Polar Programs.
DATE:
-
TEAM MEMBERS:
Jason CervenecJesse FoxJulien Nicolas
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:
-
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 will bring together science museum visitor experience developers, visitor studies staff, indoor location technology developers, cyber-learning researchers, and STEM informal learning specialists for a two day conference, COMPASS (Conference on Mobile Position Awareness Systems and Solutions), to address the achievements and potential of indoor location aware mobile (ILAM) technology in science museums. The pre-conference work, the conference itself, and a subsequent e-publication will provide multiple, informed perspectives and knowledge around ILAM for science museums to develop apps for visitors' own smartphones to enhance and personalize the visitor experience and to experiment with new kinds of inquiry-based learning. The goals of the conference are to form an integrated vision by consolidating expertise from disparate disciplines connected to ILAM tech development, to transform visitor mobile tools to provide more innovative forms of interaction and personalization, and to open new avenues for visitor research with automated data collection and analysis.
The COMPASS conference will bring together 80 participants for two days in September 2018 at the Exploratorium in San Francisco, CA. The first dissemination will take place in a presentation at the ASTC conference the following month in October 2018. A webinar sharing insights from COMPASS and inviting others to engage will be held in March 2019 hosted by ASTC and accessible by ASTC members and non-members alike. A companion COMPASS e-publication will be released for free download, also in March 2019, with summaries of conference proceedings, key issues identified, case histories of ILAM in museums, white papers and other resources. Conference outcomes include establishing a community of practice or special interest group and establishing common goals for future collaborative work. By gathering a diverse range of perspectives and expertise to share research and evidence based findings, COMPASS include collective problem solving and an informed cross disciplinary approach to planning and implementing ILAM technology in the museum environment. The conference will explicitly address the benefits and quality of open source code and protocols and how techniques could be shared among institutions. As professional experience with deploying ILAM apps grows, this tool could be used to increase accessibility for diverse visitor populations, put in use at smaller and medium sized science centers, and applied to a variety of research studies, increasing the impact for funders and benefiting the science center community at large.
How do afterschool programs view their local public libraries? Are they working with them, and in what ways? These are the questions that the Afterschool Alliance, along with its partners at the Space Science Institute’s National Center for Interactive Learning (NCIL) and the American Library Association, wanted to answer. Overall, our goal is to build bridges between the afterschool and library fields, so that both can share knowledge and resources to better serve our youth. While our work together has primarily focused on science, technology, engineering, and math (STEM) education through
Multitouch tables and displays provide important benefits for users in museums and other public spaces. This report discusses the evolution of tangible-object interfaces on such displays and outlines ideas for further development of more compelling, intuitive, and effective user experiences.
The project will increase the effectiveness of informal science educators to promote public understanding of three complex topics that impact the ocean (oil spills, ocean acidification, and energy literacy) and encourage stewardship of ocean and coastal resources. This project will have a direct impact on 252 interpreters in and around Alaska, California, and Florida through 12 weeklong trainings. Groups of interpreters will develop, assemble and produce online training toolkits, all of which will be widely disseminated to the ISE community. Each toolkit will utilize NOAA multimedia content, data visualization products, literature, expertise and other relevant resources. Project participants--who interact with a diverse mix of local, regional, national and international visitors (including underserved local populations)--will provide enhanced training content for their colleagues through guide/interpreter training, a workshop, presentations at conferences, and online networks.
DATE:
-
TEAM MEMBERS:
Laurie MorrowCynthia VernonDebbie Stone
The Art of Science Learning, Phase 2 was an NSF-funded research and development project to investigate the value of incorporating arts-based learning techniques in STEM-related group innovation processes. The project team created a new, arts-infused innovation curriculum in consultation with leading national practitioners in the arts, creativity, and innovation, then deployed that curriculum in “innovation incubators” in San Diego, Chicago, and Worcester (Mass.) in partnership with informal STEM institutions in those cities. At each incubator, diverse members of the public (from high school
DATE:
TEAM MEMBERS:
Peter LinettSteve ShewfeltNicole BaltazarNnenna OkekeDreolin FleisherEric LaPlantMadeline SmithChloe Chittick PattonSarah LeeHarvey Seifter
This report introduces a framework to support learning in library and museum makerspaces. The framework demonstrates how we can create the conditions for ambitious learning experiences to unfold within the making experience.
DATE:
TEAM MEMBERS:
Children's Museum of PittsburghInstitute of Museum and Library ServicesPeter Wardrip
This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality
Although with some reluctance, social sciences now seem to have accepted the challenge deriving from the growing digitisation of communication and the consequent flow of data on the web. There are actually various empirical studies that use the digital traces left by the myriads of interactions that occur through social media and e-commerce platforms, and this trend also concerns the research in the PCST field. However, the opportunity offered by the digitisation of traditional mass media communication — the newspapers in particular — is much less exploited. Building on the experience of the