Biology has become a powerful and revolutionary technology, uniquely poised to transform and propel innovation in the near future. The skills, tools, and implications of using living systems to engineer innovative solutions to human health and global challenges, however, are still largely foreign and inaccessible to the general public. The life sciences need new ways of effectively engaging diverse audiences in these complex and powerful fields. Bio-Tinkering Playground will leverage a longtime partnership between the Stanford University Department of Genetics and The Tech Museum of Innovation to explore and develop one such powerful new approach.
The objective of Bio-Tinkering Playground is to create and test a groundbreaking type of museum space: a DIY community biology lab and bio-makerspace, complete with a unique repertoire of hands-on experiences. We will tackle the challenge of developing both open-ended bio-making activities and more scaffolded ones that, together, start to do for biology, biotech, and living systems what today’s makerspaces have done for engineering.
A combined Design Challenge Learning, making, and tinkering approach was chosen because of its demonstrated effectiveness at fostering confidence, creative capacity, and problem solving skills as well as engaging participants of diverse backgrounds. This educational model can potentially better keep pace with the emerging and quickly evolving landscape of biotech to better prepare young people for STEM careers and build the next generation of biotech and biomedical innovators.
Experience development will be conducted using an iterative design process that incorporates prototyping and formative evaluation to land on a final cohort of novel, highly-vetted Bio-Tinkering Playground experience. In the end, the project will generate a wealth of resources and learnings to share with the broader science education field. Thus, the impacts of our foundational work can extend well beyond the walls of The Tech as we enable other educators and public institutions around the world to replicate our model for engagement with biology.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. The project will develop and research, as a feasibility study, a series of art-inclusive, pop-up Science, Art, Technology, Engineering, and Mathematics (STEAM) makerspaces in a high-poverty, primarily rural county in Oklahoma. A makerspace is a collaborative work space inside a library, school or other community space for making, learning, exploring and sharing that uses high tech to low tech tools. The makerspaces will be temporary workshops that are developed through a community planning process that assesses the needs and interests of citizen stakeholders. Scientists, artists and other experts will work together with the community to design a series of thematic pop-up makerspace sessions. The project builds a collaborative infrastructure and capacity for small and rural communities by bringing together resource providers and experts to identify and design science-oriented challenges. Long-term benefits for participants include sustained focus on new approaches for civic engagement through STEAM-driven making which could foster new role identities pertaining to science and art. The project deliverables include: (1) a theoretically informed model to build a community's capacity to collaborate toward fostering civic engagement through science-oriented pop-up makerspaces, (2) Pop-Up STEAM Studio makerspaces, (3) training for pop-up facilitators, and (4) visual documentation panels and web-based digital stories to communicate progress and process.
Project research will enhance knowledge-building of the process of developing a science-oriented community challenge that embraces STEAM and making. A key contribution of the proposed project will be the generation of insights into how community members establish consensus around the joint goal of designing, documenting, and facilitating integrated art and science making activities to address and communicate the challenge. Research will focus on the roles participants take when engaging in the making process through an identity-based model of motivated action. Analysis of advisory board meeting artifacts and focus group data will allow the researchers to identify processes of negotiation and consensus building at the collective level and in relation to each issue to which the group attends. Emergent themes (such as negotiation, shared learning, idea or project revisions, diverse perspectives coming to consensus, etc.) will be examined across individual and group units of analysis, from all data sources, and through the congruent theoretical lenses of role identity theory and negotiated learning pedagogy. The research outcomes should inform efforts to build infrastructure and capacity of community resources by providing a model for developing collaborative pop-up makerspaces.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Sheri VasindaJoanna GarnerStephanie HathcockRebecca Brienen
This project aims to broaden participation in STEM education among underserved populations through innovative and inclusive approaches to technology education. The project is designed to enhance knowledge and comfort with technology and develop computational thinking among women who were formerly incarcerated and are now seeking to reenter the workforce or adjust to their lives outside the criminal justice system ("women in transition") in the Midwest. While women have become the fastest growing segment of the incarcerated population, prison education and reentry programs are not well prepared to respond to this influx. Women in transition are rarely exposed to STEM education and they are generally isolated from the digital world while in prison. Consequently, they face post-incarceration challenges in accessing and using rapidly changing digital technologies. Against this backdrop, this three-year technology education project will aim to help women in transition in Kansas and Missouri develop STEM skills relevant to job applications and post-incarceration adjustments. The project may serve as a template for building evidence-based workforce preparation efforts in informal settings, and the concurrent online peer networking and app development may also facilitate adaptation for and scaling to other regions and other similarly digitally disadvantaged populations. This project is funded by the 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 design is informed by the research team's past experiences offering technology education to women in transition and other underserved populations in the Midwest. The design includes three interrelated aspects: (1) technology education, (2) web/mobile app development, and (3) original empirical research. The research team will offer hybrid (online and offline) technology training programs to 300 women in transition in Kansas and Missouri. Learners will attend weekly face-to-face technology classes at different levels (introductory, intermediate, and advanced) at public libraries. A member-only online site and an accompanying mobile application for online tutorials and virtual meet-ups will enhance exposure to different types of technologies. Starting with interest-based technology topics including online resume building, information verification, and identity protection, the team will introduce women to deeper STEM topics including elementary coding skills and computational thinking. Empirical research will examine how different modalities of offering technology education are associated with learning outcomes for women participating in the program and the association of increasing knowledge and skills in digital technologies with self-efficacy, perceived social support, employment, and reduced recidivism.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Hyunjin SeoHannah BrittonMegha RamaswamyBaek-Young ChoiSejun Song
There is a dearth of prominent STEM role models for underrepresented populations. For example, according to a 2017 survey, only 3.1% of physicists in the United States are Black, only 2.1% are Hispanic, and only 0.5% are Native American. The project will help bridge these gaps by developing exhibits that include simulations of historical scientific experiments enacted by little-known scientists of color, virtual reality encounters that immerse participants in the scientists' discovery process, and other content that allows visitors to interact with the exhibits and explore the exhibits' themes. The project will develop transportable, interactive exhibits focusing on light: how we perceive light, sources of light from light bulbs to stars, uses of real and artificial light in human endeavors, and past and current STEM innovators whose work helps us understand, create, and harness light now. The exhibits will be developed in three stages, each exploring a characteristic of light (Color, Energy, or Time). Each theme will be explored via multiple deliveries: short documentary and animated films, virtual reality experiences, interactive "photobooths," and technology-based inquiry activities. The exhibit components will be copied at seven additional sites, which will host the exhibits for their audiences, and the project's digital assets will enable other STEM learning organizations to duplicate the exhibits. The exhibits will be designed to address common gaps in understanding, among adults as well as younger learners, about light. What light really is and does, in scientific terms, is one type of hidden story these exhibits will convey to general audiences. Two other types of science stories the exhibits will tell: how contemporary research related to light, particularly in astrophysics, is unveiling the hidden stories of our universe; and hidden stories of STEM innovators, past and present, women and men, from diverse backgrounds. These stories will provide needed role models for the adolescent learners, helping them learn complex STEM content while showing them how scientific research is conducted and the diverse community of people who can contribute to STEM innovations and discoveries.
The project deliverables will be designed to present complex physics content through coherent, immersive, and embodied learning experiences that have been demonstrated to promote engagement and deeper learning. The project will research whether participants, through interacting with these exhibits, can begin to integrate discrete ideas and make connections with complex scientific content that would be difficult without technology support. For example, students and other novices often lack the expertise necessary to make distinctions between what is needed and what is extra within scientific problems. The proposed study follows a Design-Based Research (DBR) approach characterized by iterative cycles of data collection, analysis, and reflection to inform the design of educational innovations and advance educational theory. Project research includes conceiving, building, and testing iterative phases, which will enable the project to capture the complexity of learning and engagement in informal learning settings. Research participants will complete a range of research activities, including focus group interviews, observation, and pre-post assessment of science content knowledge and dispositions.
By showcasing such role models and informing about related STEM content, this project will widen perspectives of audiences in informal learning settings, particularly adolescents from groups underrepresented in STEM fields. Research findings and methodologies will be shared widely in the informal STEM learning community, building the field's knowledge of effective ways to broaden participation in informal science learning, and thus increase broaden participation in and preparation for the STEM-based workforce.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Todd BoyetteJill HammJanice AndersonCrystal Harden
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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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.
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TEAM MEMBERS:
Ila BermanT. Donna ChenKaren RheubanQian Cai
To reach its full potential in science, technology, engineering, and mathematics (STEM), the United States must continue to recruit, prepare and maintain a diverse STEM workforce. Much work has been done in this regard. Yet, underrepresentation in STEM fields persists and is especially pronounced for Hispanic STEM professionals. The Hispanic community is the youngest and fastest growing racial/ethnic group in the United States but comprises only seven percent of the STEM workforce. More evidence-based solutions and innovative approaches are required. This project endeavors to address the challenges of underrepresentation in STEM, especially among individuals of Hispanic descent, through an innovative approach. The University of San Diego will design, develop, implement, and test a multilayered STEM learning approach specific to STEM learning and workforce development in STEM fields targeting Hispanic youth. The STEM World of Work project will explore youth STEM identity through three mechanisms: (1) an assessment of their individual interests, strengths, and values, (2) exposure to an array of viable STEM careers, and (3) engagement in rigorous hands-on STEM activities. The project centers on a youth summer STEM enrichment program and a series of follow-up booster sessions delivered during the academic year in informal contexts to promote family engagement. Paramount to this work is the core focus on San Diego's Five Priority Workforce Sectors: Advanced Manufacturing, Information and Communications Technology, Clean Energy, Healthcare, and Biotech. Few, if any, existing projects in the Advancing Informal STEM learning portfolio have explored the potential connections between these five priority workforce sectors, informal STEM learning, and identity among predominately Hispanic youth and families engaged in a year-long, culturally responsive STEM learning and workforce focused program. If successful, the model could provide a template for the facilitation of similar efforts in the future.
The STEM World of Work project will use a mixed-methods, exploratory research design to better understand the variables influencing STEM learning and academic and career choices within the proposed context. The research questions will explore: (1) the impacts of the project on students' engagement, STEM identity, STEM motivation, and academic outcomes, (2) factors that moderate these outcomes, and (3) the impact the model has on influencing youths' personal goals and career choices. Data will be garnered through cross-sectional and longitudinal surveys and reflective focus groups with the students and their parents/guardians. Multivariate analysis of variance, longitudinal modeling, and qualitative analysis will be conducted to analyze and report the data. The findings will be disseminated using a variety of methods and platforms. The broader impacts of the findings and work are expected to extend well beyond the project team, graduate student mentors, project partners, and the estimated 120 middle school students and their families from the predominately Hispanic Chula Vista Community of San Diego who will be directly impacted by the project.
This exploratory pathways project is funded by the Advancing Informal STEM Learning 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:
Perla MyersVitaliy PopovOdesma DalrympleYaoran LiJoi Spencer
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.
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. In this exploratory Change Makers project, the Concord Consortium will develop, test, and evaluate a citizen science program that leverages innovative technology, such that youth engage directly with energy issues through scientific inquiry. The project will create the Infrared Street View, a citizen science program that aims to produce a thermal version of Google's Street View using an affordable infrared camera attached to a smartphone. The infrared camera serves as a high-throughput data acquisition instrument that collects thousands of temperature data points each time a picture is taken. Youth will collect massive geotagged thermal data that have considerable scientific and educational value for visualizing energy usage and improving energy efficiency at all levels. The Infrared Street View program will provide a Web-based platform for youth and anyone interested in energy efficiency to view and analyze the aggregated data to identify possible energy losses. By sharing their scientific findings with stakeholders, youth will make changes to the way energy is being used. The project will start with school, public, and commercial buildings in selected areas where performing thermal scan of the buildings and publishing their thermal images for educational and research purposes are permitted by school leaders, town officials, and property owners. In collaboration with high schools and out-of-school programs in Massachusetts, this project will conduct pilot-tests with approximately 200 students.
To contribute to advancing learning, the study will probe three research questions: 1) Under what circumstances can technology bridge out-of-school and classroom science learning and improve learning on both sides? 2) To what extent can unobtrusive assessment based on data mining support research and evaluation of student learning in out-of-school settings? and 3) To what extent can instructional intelligence built into the app used in the program help students learn in out-of-school programs and improve the quality of data they contribute to the citizen science project? Data sources for investigating these questions include students' interaction data with the app logged behind the scenes and the images they have taken, as well as results based on traditional assessments from a small number of participants. Throughout the project, staff will widely disseminate project products and findings through the Internet, science fairs, conferences, publications, and partner networks. An eight-member Advisory Board consisting of cleantech experts, science educators, and educational researchers will oversee and evaluate this project.