Hero Elementary is a transmedia educational initiative aimed at improving the school readiness and academic achievement in science and literacy of children grades K-2. With an emphasis on Latinx communities, English Language Learners, youth with disabilities, and children from low-income households, Hero Elementary celebrates kids and encourages them to make a difference in their own backyards and beyond by actively doing science and using their Superpowers of Science. The project embeds the expectations of K–2nd NGSS and CCSS-ELA standards into a series of activities, including interactive games, educational apps, non-fiction e-books, hands-on activities, and a digital science notebook. The activities are organized into playlists for educators and students to use in afterschool programs. Each playlist centers on a meaningful conceptual theme in K-2 science learning.
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TEAM MEMBERS:
Joan FreeseMomoko HayakawaBryce Becker
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.
Polar Extremes: Enhancing Experiential Digital Learning is an integrated media and research project produced by the PBS science series, NOVA, that will bring polar science to informal learners through traditional storytelling and experiential, digital learning environments. Stark, cold, and seemingly frozen in time, the top and bottom of the Earth feel other-worldly, completely removed from our everyday existence. Yet, nothing could be further from the truth. The Arctic and Antarctic exert profound influence over our entire planet. Disturbances in these icy realms can send transformative ripples around the globe, altering the circulation of the atmosphere and oceans, and affecting every form of life. And although the poles might seem constant and everlasting, they--like our planet--are always changing, with a deep and complex past. NOVA will provide informal science learners access to specialized research happening at the ends of the earth, introducing them to today's scientists exploring the major drivers of the climate, uncovering the deep history of past paleoclimates, or perfecting climate and weather models. The project includes: a 2-hour nationally broadcast PBS documentary (working title Polar Extremes); a NOVA Polar Lab, an experiential interactive learning platform on polar science; and a Polar Exploration Initiative consisting of a 10-part YouTube series, a collection of 360 videos, virtual field trips, and social media reporting "on location" from Antarctica, along with other polar-themed video, radio and digital journalism. It also includes a research program conducted in collaboration with the University of California, Santa Barbara (UCSB) to study how narrative-driven and experiential learning can foster informal learning in polar science across a diverse array of audiences. NOVA, the most popular science program on television, with a robust digital presence, will bring current polar science to millions. NOVA will use a range of media to transport viewers to remote polar locations, to interact with polar scientists, manipulate polar data, or vicariously explore the frozen tundra--using a mix of learning approaches. This project will develop and test the impact of two forms of informal learning: traditional narrative-driven storytelling and active, experiential learning. Both components will be developed through audience research, formative evaluation or pilot testing, and experiments. The overarching goal is to determine the best way to combine and leverage traditional and interactive media technologies to educate the public about polar science. How can these modes enhance learning outcomes? The study uses the Informal Science Learning "strand framework" developed by the National Research Council in Learning Science in Informal Environments: People, Places, and Pursuits (2009). Because different age groups and socioeconomic backgrounds may engage differently with different types of learning materials and platforms, the project components are designed to test a variety of different learning approaches, with different audiences. This study will be one of the first to address the relative efficacy of various forms of experiential education and whether active versus vicarious experiential learning depends on the characteristics of the learners. As engagement technologies continue to evolve, this project will help inform how to best design and apply them effectively. The project will apply these new lessons specifically to present polar research to the public and to offer audiences an opportunity to explore and learn about these remote regions in new ways that bring them to life, make them relevant, and enhance learning outcomes. 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 (OPP).
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TEAM MEMBERS:
Paula ApsellLisa LeombruniJulia CortHunter Gehlbach
Women continue to be underrepresented in computer science professions. In 2015, while 57% of professional occupations in the U.S. were held by women, only 25% of computing occupations were held by women. Furthermore, the share of computer science degrees going to women is smaller than any STEM field, even though technology careers are the most promising in terms of salaries and future growth. Research suggests that issues contributing to this lack of computer science participation begin early and involve complex social and environmental factors, including girls' perception that they do not belong in computer science classes or careers. Computer science instruction often alienates girls with irrelevant curriculum; non-collaborative pedagogies; a lack of opportunities to take risks or make mistakes; and a heavy reliance on lecture instead of hands-on, project-based learning. Computer science experiences that employ research-based gender equitable best practices, particularly role modeling, can help diminish the gender gap in participation. In response to this challenge, Twin Cities PBS (TPT), the National Girls Collaborative (NGC) and Code.org will lead Code: SciGirls! Media for Engaging Girls in Computing Pathways, a three-year project designed to engage 8-13 year-old girls in coding through transmedia programming which inspires and prepares them for future computer science studies and career paths. The project includes five new PBS SciGirls episodes featuring girls and female coding professionals using coding to solve real problems; a new interactive PBSKids.org game that allows children to develop coding skills; nationwide outreach programming, including professional development for informal educators and female coding professionals to facilitate activities for girls and families in diverse STEM learning environments; a research study that will advance understanding of how the transmedia components build girls' motivation to pursue additional coding experiences; and a third-party summative evaluation.
Code: SciGirls! will foster greater awareness of and engagement in computer science studies and career paths for girls. The PBS SciGirls episodes will feature girls and female computer science professionals using coding to solve real-world challenges. The project's transmedia component will leverage the television content into the online space in which much of 21st century learning takes place. The new interactive PBSKids.org game will use a narrative framework to help children develop coding skills. Drawing on narrative transportation theory and character identification theory, TPT will commission two exploratory knowledge-building studies to investigate: To what extent and how do the narrative formats of the Code: SciGirls! online media affect girls' interest, beliefs, and behavioral intent towards coding and code-related careers? The studies aim to advance understanding of how media builds girls' motivation to pursue computer science experiences, a skill set critical to building tomorrow's workforce. The project team will also raise educators' awareness about the importance of gender equitable computer science instruction, and empower them with best practices to welcome, prepare and retain girls in coding. The Code: SciGirls! Activity Guide will provide educators with a relevant resource for engaging aspiring computer scientists. The new media and guide will also reside on PBSLearningMedia.org, reaching 1.2 million teachers, and will be shared with thousands of educators across the SciGirls CONNECT and National Girls Collaborative networks. The new episodes are anticipated to reach 92% of U.S. TV households via PBS, and the game at PBSKids.org will introduce millions of children to coding. The summative evaluation will examine the reach and impact of the episodes, game and new activities. PIs will share research findings and project resources at national conferences and will submit to relevant publications. 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.
Becoming computationally literate is increasingly crucial to everyday life and to expanding workforce capacity. Research suggests that computational literacy--knowing what, when, how, and why to use the ideas of computer science, in combination with the capacity to view problems and potential solutions through the lens of computational structures and procedures--can be supported through digital game play. This project aims to develop a social and creative exhibit game that foregrounds aspects of computer science, specifically artificial intelligence (AI) and computer programming, in ways that enable youth to explore, construct, and share computational complex systems content with one another and other museum visitors. To play the game, pairs of youth visitors will use code cards to program the behavior of AI animals in a virtual forest. As they do so, youth will engage with computational literacy practices, such as basic computer programming, describing their computational ideas, and doing computational problem solving with their friends. Their activity will be projected on a large screen as a strategy for enabling youth to test, rehearse, and communicate their computational ideas and to also interest other visitors into computational problem solving.
Using multi-perspective and iterative design-based research, university learning scientists, museum practitioners, and game developers will pursue research questions around how science museums can better engage youth who are traditionally underrepresented in computer science in complex computational practices. Data sources will include interactive-log data, observations of visitor interactions with the game, visitor interviews, and visitor surveys. A multimodal and mixed methods approach that searches for convergences between qualitative analysis, quantitative analysis, and learning analytics will be used to generate research findings. Changes in computational literacy will be assessed by evaluating what problems visitors choose to solve with programming, how they frame those problems, and their selections from among possible solutions, what they program, how they program, and how they describe programming ideas. The results of this project will include: 1) a social, interactive gameplay experience that supports the development of computational literacy; 2) design principles for game-based exhibits that facilitate development of computational literacy; and 3) new knowledge of variations in design and gameplay across diverse gameplay users, including those from underrepresented groups in computer science. It is anticipated that 1,000 museum youth visitors will directly participate in the study.
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.
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TEAM MEMBERS:
Matthew BerlandLeilah LyonsMatthew Cannady
In this project, education researchers, environmental scientists, and educators will develop a computer tool to let STEM educators and curriculum developers build local environmental science models. The system will use data about land use to automatically construct map-based simulations of any area in the United States. Users will be able to choose from a range of environmental and economic issues to include in these models. The system will create simulations that ask students to change to patterns of land use -- for example, increasing land zoned for housing, or open land, or industrial development -- to try to meet environmental and social goals. As a result, students will be able to learn about the interaction of environmental and economic issues relevant to their own city, town, neighborhood, or region. These map-based simulations will be incorporated into an existing science, technology, engineering, and mathematics (STEM) education tool, Land Science, in which learners work in a fictional planning office to study how zoning affects economic and environmental issues in a community. Research has shown that Land Science is mode effective when learners are exploring issues in an area near their home, and the current study will investigate how and why local simulations improve environmental science learning. This project is funded by the Advancing Informal STEM Learning (AISL) program which supports work to enhance learning in informal environments by funding innovative research, approaches, and resources for use in a variety of settings.
In this project, the research team will build, test, and deploy a toolkit that will allow informal STEM educators and developers of informal STEM programming to easily adapt an existing environmental science learning environment, which consists of a place-based virtual internship in urban planning and ecology, to their local contexts, learning objectives, and learner populations. Land Science is a virtual internship in which young people explore the environmental and socio-economic impacts of land-use decisions. To do so, they play the role of interns at an urban planning firm developing a new land-use proposal for the city of Lowell, Massachusetts: they read reports, virtually visit sites, determine stakeholder priorities, and use a geographic information system (GIS) model to evaluate the socio-economic and environmental impacts of land-use choices. No one plan can satisfy all stakeholders, so learners must compromise to create an effective plan and justify their decisions. Land Science has been shown to improve civic engagement, interest in eco-social issues, and understanding of scientific models, but it is most effective when the location of the virtual internship is in or near the learners' home town. To improve the accessibility and impact of this effective learning intervention, the interdisciplinary research team, which includes learning scientists, land-use experts, and informal STEM educators, will develop a Local Environmental Modeling toolkit, which will allow educators to change the location of the simulation and the stakeholder groups, zoning codes, and environmental and socio-economic indicators included in the land-use model. The system will ensure that the model produced is functional, realistic, and appropriately complex. The localized versions of Land Science produced by informal STEM educators will be used in a range of contexts and locations, allowing the research team to study the effects of an online, place-based learning intervention on environmental science learning, STEM interest and motivation, and civic engagement.
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TEAM MEMBERS:
David ShafferKristen ScopinichHolly GibbsJeffrey Linderoth
Lineage is a comprehensive educational media and outreach initiative that will engage individuals and families in learning about deep time and evolution, helping audiences come to newfound understandings of the connections between the past, present, and future of life on Earth. The project is a partnership between Twin Cities PBS (TPT) and the Smithsonian Institution's National Museum of Natural History and is linked to the opening of that museum's new Deep Time Fossil Hall in June 2019. The project includes a two-hour film for national broadcast on PBS, and a 20-minute short version for exhibition in science centers. The documentaries will show how scientists, using paleontology, genetics, earth science and other disciplines, can reconstruct in detail the origins of living animals like birds and elephants, revealing their ancient past as well as evidence of ecological change that can inform our understanding of Earth today. Extensive educational outreach will include the creation of "Bone Hunter," an innovative VR (Virtual Reality) game designed for family co-play that engages multiple players in the process of paleontology as they piece together a fossil in a digital lab. Bone Hunter and other collaborative educational activities will be deployed at Family Fossil Festivals that will attract multi-generational learners. One such Festival will take place at the Smithsonian Institution in Washington, D.C., while others will be based at geographically diverse institutions that serve underserved rural as well as urban communities. Lineage is a collaboration between national media producers, noted learning institutions and researchers, including Twin Cities Public Television, the Smithsonian Institution / National Museum of Natural History, Schell Games, the Institute for Learning Innovation (ILI), and Rockman et al. One of the project's primary innovations is its exploration of new learning designs for families that use cutting-edge technologies (e.g. the Bone Hunter virtual reality game) and collaborative multi-generational learning experiences that advance science knowledge and inquiry-based learning. An external research study conducted by ILI will investigate how intergenerational co-play with physical artifacts compared to virtual artifacts influences STEM (Science Technology Engineering Mathematics) learning and engagement. The findings will lead to critical strategic impacts for the field, building knowledge about ongoing innovation in the free choice learning space. The project's external evaluation will be conducted by Rockman et al and evaluative findings, as well as the educational materials derived from the project, will be widely disseminated through partnerships with professional and educator groups. Clips from the Lineage film and related learning resources will be hosted on PBS LearningMedia, so educators can incorporate these resources into their classrooms, and students and lifelong learners can explore and discover on their own. The project outcomes will have broad impact on public audiences, deepening and advancing knowledge and understanding about important scientific concepts, and promoting continued, family-based collaborative learning experiences to expand and deepen STEM knowledge. 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.
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.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
This project, a collaboration of teams at Georgia Institute of Technology, Northwestern University, and the Museum of Design Atlanta and the Museum of Science and Industry in Chicago, will investigate how to foster engagement and broadening participation in computing by audiences in museums and other informal learning environments that can transfer to at-home and in-school engagement (and vice versa). The project seeks to address the national need to make major strides in developing computing literacy as a core 21st century STEM skill. The project will adapt and expand to new venues their current work on their EarSketch system which connects computer programming concepts to music remixing, i.e. the manipulation of musical samples, beats and effects. The initiative involves a four-year process of iteratively designing and developing a tangible programming environment based on the EarSketch learning environment. The team will develop three new applications: TuneTable, a multi-user tabletop exhibit for museums; TunePad, a smaller version for use at home and in schools; and an online connection between the earlier EarSketch program and the two new devices.
The goal is to: a) engage museum learners in collaborative, playful programming experiences that create music; b) direct museum learners to further learning and computational music experiences online with the EarSketch learning environment; c) attract EarSketch learners from local area schools to visit the museum and interact with novice TuneTable users, either as mentors in museum workshops or museum guests; and d) inform the development of a smaller scale, affordable tangible-based experience that could be used at homes or in smaller educational settings, such as classrooms and community centers. In addition to the development of new learning experiences, the project will test the hypothesis that creative, playful, and social engagement in the arts with computer programming across multiple settings (e.g. museums, homes, and classrooms) can encourage: a) deeper learner involvement in computer programming, b) social connections to other learners, c) positive attitudes towards computing, and d) the use and recognition of computational concepts for personal expression in music. The project's knowledge-building efforts include research on four major questions related to the goals and evaluation processes conducted by SageFox on the fidelity of implementation, impact, success of the exhibits, and success of bridging contexts. Methods will draw on the Active Prolonged Engagement approach (unobtrusive observation, interviews, tracking-and-timing, data summaries and team debriefs) as well as Participatory Action Research methods.
This work 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.
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TEAM MEMBERS:
Michael HornBrian MagerkoJason Freeman
Hexacago Health Academy (HHA) is a game-based science and health curriculum intervention. HHA engages high school students in learning about and addressing major sexual and reproductive health issues and risk behaviors. A board game, Hexacago, depicting the city of Chicago with an overlay of hexagons is the cornerstone of HHA. Students use the board design games and think critically about public health problems in the city of Chicago. HHA uses game-play, interaction with STEM science and health professionals, and mentoring to create a rich, game-based learning experience for high school students. The object of HHA is to improve academic performance, increase science and health career interest, and improve health behaviors among youth living in Chicago.