Charles Darwin is largely unknown and poorly understood as a historical figure. Similarly, the fundamental principles of evolution are often miss-stated, misunderstood, or entirely rejected by large numbers of Americans. Simply trying to communicate more facts about Darwin, or facts supporting the principles of evolution is inadequate; neither students nor members of the public will care or retain the information. On the contrary, building facts into a one-on-one conversational narrative creates an memorable opportunity to learn. Here, we create a digital-media, self-guided question and answer
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David J. LampeBrinley KantorskiJohn Pollock
This article explores science communication from the perspective of those most at risk of exclusion, drawing on ethnographic fieldwork. I conducted five focus groups and 32 interviews with participants from low-income, minority ethnic backgrounds. Using theories of social reproduction and social justice, I argue that participation in science communication is marked by structural inequalities (particularly ethnicity and class) in two ways. First, participants’ involvement in science communication practices was narrow (limited to science media consumption). Second, their experiences of exclusion
In March of 2016, the Exploratorium transmitted a live webcast of a total solar eclipse from Woleai, a remote island in the southwestern Pacific. The webcast reached over 1 million viewers. Evaluation reveals effective use of digital media to engage learners in solar science and related STEM content.
Edu, Inc. conducted an external evaluation study that shows clear and consistent evidence of broad distribution of STEM content through multiple online channels, social media, pre-produced videos, and an app for mobile devices. IBM Watson did a deep analysis of tweets on eclipse topics that
This study explored how different presentations of an object in deep space affect understanding, engagement, and aesthetic appreciation. A total of n = 2,502 respondents to an online survey were randomly assigned to one of 11 versions of Cassiopeia A, comprising 6 images and 5 videos ranging from 3s to approximately 1min. Participants responded to intial items regarding what the image looked like, the aesthetic appeal of the image, perceptions of understanding, and how much the participant wanted to learn more. After the image was identified, participants indicated the extent to which the
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Lisa SmithKimberly ArcandRandall SmithJay BookbinderJeffrey Smith
This is a book review of "Cosmos and the Rhetoric of Popular Science" by K. Shroeder Sorensen. Shroeder Sorensen analyses in depth the close relationship of the TV-series Cosmos [1980] with the popular culture, in its broadest sense, at the time of its release. The novel application of Fantasy-Theme analysis to the rhetorical vision of the series reveals how it is the product of a very careful and successful design. The book also compares the original series with its 2014 reboot Cosmos: A Spacetime Odyssey [2014].
In this paper, we respond to the critiques presented by [Kahan, 2017]. Contrary to claims that the scientific consensus message did not significantly influence the key mediator and outcome variables in our model, we show that the experiment in [van der Linden et al., 2015] did in fact directly influence key beliefs about climate change. We also clarify that the Gateway Belief Model (GBM) is theoretically well-specified, empirically sound, and as hypothesized, the consensus message exerts a significant indirect influence on support for public action through the mediating variables. We support
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Sander van der LindenAnthony LeiserowitzEdward Maibach
This paper analyzes data collected but not reported in the study featured in van der Linden, Leiserowitz, Feinberg, and Maibach [van der Linden et al., 2015]. VLFM report finding that a “scientific consensus” message “increased” experiment subjects' “key beliefs about climate change” and “in turn” their “support for public action” to mitigate it. However, VLFM fail to report that message-exposed subjects' “beliefs about climate change” and “support for public action” did not vary significantly, in statistical or practical terms, from those of a message-unexposed control group. The paper also
Research suggests non-experts associate different content with the terms “global warming” and “climate change.” We test this claim with Twitter content using supervised learning software to categorize tweets by topic and explore differences between content using “global warming” and “climate change” between 1 January 2012 and 31 March 2014. Twitter data were combined with temperature records to observe the extent to which temperature was associated with Twitter discussions. We then used two case studies to examine the relationship between extreme temperature events and Twitter content. Our
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TEAM MEMBERS:
Sara YeoZachary HandlosAlexandra KarambelasLeona Yi-Fan SuKathleen RoseDominique BrossardKyle Griffin
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.
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Jason CervenecJesse FoxJulien Nicolas
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. This project will develop and test intergenerational science media resources for parents that are participating in adult education programs and their young children. The materials will build on the research-based and successful children's television program, Fetch with Ruff Ruffman. The target audience includes parents enrolled in adult education programs who lack a high school diploma or are in English as a Second Language classes. These resources will support parents' engagement in science activities with their children both in the adult education settings as well as at home. Adult and family educators will receive professional development resources and training to support their integration of the parent/child activities. Project partners include the National Center for Families Learning, Kentucky Educational Television, and Alabama Public Television,
The goals of the Ruff Family Science project are to: (1) investigate adult education settings that feature an intergenerational learning model, in order to learn about the unique characteristics of adults and families who are enrolled in these programs; (2) examine the institutional circumstances and educator practices that support joint parent/child engagement in science; (3) iteratively develop new prototype resources meet the priorities and needs of families and educators involved in intergenerational education settings; and (4) develop the knowledge needed to create a fuller set of materials in the future that will motivate and support diverse, low-income parents to investigate science with their children. The research strategy is comprised of three main components: Phase 1: Needs Assessment: Determine key motivations and behaviors common to adult education students who are also parents; surface obstacles and assets inherent in these parents' current practices; and examine the needs and available resources for supplementing parents' current engagement in family science learning. Phase 2: Prototype Development: Iteratively develop two prototype Activity Sets, along with related educator supports and training materials, designed to promote joint parent-child engagement with English and Spanish-speaking families around physical science concepts. Phase 3: Prototype Field Test: Test how the two refined prototype Activity Sets work in different educational settings (adult education, parent education, and parent and child together time). Explore factors that support or impede effective implementation. Sources of data for the study include observations of adult and parent education classes using an expert interview protocol, focus groups, adult and family educator interviews, and parent surveys.
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.
Over the seven years prior to this award, the principal investigator from George Mason University and a national team of scientists, professional societies, science communication researchers, and broadcast meteorologists have been engaged in an effort to include in TV and other weather broadcasts information about current research on the interactions of climate and weather. A Climate Matters network has been established that involves 350 weathercasters at 218 stations, in 119 media markets, nationwide. A particular focus of the initiative has been to help the public become more familiar with the science behind how their local weather and its trends are related to the dynamics of the climate. Many communities nationwide are engaged in deliberations about how to understand, plan for, and adapt to the potential impacts of changes in their weather on important factors pertaining to their economy and well-being, such as natural resources, natural disasters, agriculture, industry, and health. The goal of this continuing project is to expand the quantity and nature of the coverage of such information into the news segments of local news media. By stimulating local reporting on climate impacts and their relationships to personal and community-wide decision-making, this project will potentially help millions of Americans better understand and respond to critical factors that are affecting their lives. 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 involves five inter-related, complementary activities: (1) Knowledge building through formative research and process evaluation, specifically in-depth interviews and random sample surveys of journalists in each of the participating journalism professional societies; (2) Recruiting 400 news directors, producers, reporters and additional weathercasters into the Climate Matters network; (3) Providing climate reporting training and professional development to members of the network; (4) Producing and distributing Climate Matters reporting packages to all members of the network on a near-weekly basis; and (5) Evaluating the impacts of the climate reporting on public understanding of science.
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TEAM MEMBERS:
Edward MaibachSusan HassolBernadette PlackyRichard CraigTeresa Myers