Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to enable the SciStarter program to extend the promise of citizen science by connecting millions of citizen scientists with scientists in need of their help through formal and informal research projects. Citizen science is a fast growing field that engages the public in scientific inquiry through data collection projects and environmental monitoring using sensors, mini spectrometers, water testing kits and other tools. A challenge for the citizen science community has been access to the tools required to collect the types of data needed in citizen science projects. SciStarter facilitates broader participation in citizen science by reducing the barrier for volunteers to identify, acquire, and use the right scientific tools and instruments for each project. This I-Corps for Learning project will develop approaches to enable SciStarter to provide a larger number of citizen scientists with easier access to required and recommended instruments needed for meaningful participation in citizen science projects.
SciStarter aims to provide a holistic solution to the needs of citizen scientists that includes projects, support, and products such as training materials and consulting. SciStarter can be a catalyst in citizen science by connecting people to opportunities to engage and in lowering barriers to public participation in scientific research while creating a hybrid academic-consumer sustainability model. A central focus of this current effort will be establishing a sustainable and scalable means of enabling citizen scientists to obtain equipment and instruments in an efficient and cost-effective manner. The project will make use of elements already in place to expand the engagement of citizen scientists in new or multiple projects, to empower citizens in the process of citizen science, and to provide a useful, scalable and sustainable solution for scientists leading citizen science research projects. The extension of SciStarter will set the stage for greater inclusion of previously marginalized groups in citizen science activities and will extend to all forms of public engagement in science.
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. This conference proposal represents the first phase of a larger three-phase participatory research project that will use communities of interest as a vehicle for solving problems of common concern about designing youth-based STEM programs. It will set the stage for research over the next 10-25 years about the long-term impact of a variety of youth programs on STEM learning and career aspirations. Through a virtual format, the Association of Science-Technology Centers will bring together two representatives from ten long-standing youth programs, experts in the field of out-of-school time youth programming, and researchers to collaboratively develop a program profile template for measuring the impact of youth programming. The program profile template will help identify specific characteristics that will capture the influence of youth programs on their participation in out-of-school STEM activities.
The program profile template will be the main outcome from the conference. It will serve as the foundation for designing long-term impact studies that support the needs of program staff interested in improving youth programming in informal environments. It will also allow program staff and researchers to document and share intellectual capital, compare goals and features across programs, and support network efforts among informal agencies worldwide. The program profile template will be shared online through informalscience.org, the Association of Science-Technology Centers' communities of practice networks, and through other out-of-school-time national organizations.
Mathematics is a notoriously disliked subject; there is so little stigma associated with being "bad at math", that educated adults openly describe themselves in this way. There are many reasons for math's unpopularity; chief among them is that school mathematics seldom offers opportunities to engage with the richness of this potentially fascinating subject. As a result, the mathematics education pipeline in the United States is more often a filter than a pump, siphoning students out rather than bringing them along. Children have libraries to help them fall in love with literature: where do they get a chance to fall in love with math? This project presents a unique opportunity to study children engaged with mathematics in an informal setting, the Minnesota State Fair, facilitated by mathematically knowledgeable volunteers. The Math On-a-Stick mathematical playground provides a place for children to engage with mathematics by exploring patters, asking quantitative questions, and investigating shape and space to mathematize their play. The project will observe and videotape this engagement to inform the design of mathematical learning environments in a variety of outside of school time settings, such as after school programs and summer camps, that are accessible to a wider range of the population. This project is co-funded by the EHR Core Research (ECR) and Advancing Informal STEM Learning (AISL) programs. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in three thematic areas: STEM learning and learning environments, broadening participation, and STEM workforce development. The AISL program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The project will investigate three research questions: (1) How does the design of various parts of the exhibit differently support rich mathematical interactions between children and mathematicians? (2) How do children engage different parts of the exhibit? How do differences in engagement relate to (a) exhibit design and (b) prior mathematical experience? (3) How do exhibit volunteers, mathematicians, and caregivers interact to support (or undermine) students' mathematical play? The project will use participant observation and videography to capture visitors' activities through the exhibit, analyzing them as qualitative case studies.
This project was submitted in response to EHR Core Research (ECR) program announcement NSF 15-509. The ECR program of fundamental research in STEM education provides funding in critical research areas that are essential, broad and enduring. EHR seeks proposals that will help synthesize, build and/or expand research foundations in the following focal areas: STEM learning, STEM learning environments, STEM workforce development, and broadening participation in STEM. The ECR program is distinguished by its emphasis on the accumulation of robust evidence to inform efforts to (a) understand, (b) build theory to explain, and (c) suggest interventions (and innovations) to address persistent challenges in STEM interest, education, learning, and participation.
In 2015, average mathematics scores on the National Assessment of Educational Progress (NAEP) declined in fourth and eighth grades, the first declines in mathematics at these grade levels since 1990. Declines in U.S. mathematics performance has important implications for overall STEM education as well as STEM workforce and international competitiveness. Researchers at Rutgers University will conduct an analysis to isolate the cause of the mathematics decline by investigating the dimensionality of the NAEP assessment, state-level outcomes, and demographic trends.
The team will use multilevel item response theory modeling techniques to investigate the declines by examining the factor structures to determine dimensionality across years. Researchers will examine subscores corresponding to each dimension of the factor structure at the state and national levels. In addition, subscores will be examined for trends in individual states and jurisdictions. Potentially, the analyses will allow for examination of factors related to state standards adoptions, demographic shifts, and participation rates.
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TEAM MEMBERS:
Gregory Camilli
resourceprojectProfessional Development, Conferences, and Networks
The Museum of Science (MOS) will conduct a conference and associated activities to consider ways to foster the STEM workforce via both science research and science communications experiences for students at the high school level. The work will draw on and expand the scope in the USA of the NSF-funded National Living Laboratory Network which currently involves more than 350 institutions across 48 states and 21 countries. The National Living Laboratory initiative involves university researchers and museum professionals in co-implementing research and science communications activities in museum settings with the public, primarily families with young children. The research and communications focus is on cognitive science pertaining to the development of young children. While many scientists and museum professionals are interested in integrating high school research experiences into their practices, particularly for under-represented youth, existing infrastructure at museums and universities limits the quality of experiences and quantity of students that institutions can support. Current academic and museum members of the National Living Laboratory community have identified an opportunity to advance shared interests and knowledge in engaging youth in STEM by leveraging the Living Laboratory framework.
This project involves pre- and post- conference activities and will convene a group of science research and museum professionals at a workshop in Boston, MA to: 1) document current opportunities and challenges in engaging high-school aged youth in cognitive science research activities; 2) outline strategies to engage youth in research and science communication through Living Laboratory, with particular emphasis on cognitive sciences; and 3) create and disseminate a report on workshop outcomes through existing communication channels in both fields. The project includes pre-conference surveys of professionals about the topic and an evaluation of the project activities and outcomes. It 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.
As part of an overall strategy to enhance learning within informal environments, the Innovations at the Nexus of Food, Energy, and Water Systems (INFEWS) and Advancing Informal STEM Learning (AISL) programs partnered to support innovative models poised to catalyze well-integrated interdisciplinary research and development efforts within informal contexts that transform scientific understanding of the food, energy, and water systems (FEWS) nexus in order to improve system function and management, address system stress, increase resilience, and ensure sustainability. This project addresses this aim by using systems thinking and interdisciplinary integration approaches to develop a novel immersive educational simulation game and associated materials designed to highlight the role and importance of corn-water-ethanol-beef (CWEB) systems in supporting the ever increasing demands for food, energy, and water in the United States. The focus on FEWS and sustainable energy aligns well with both the INFEWS program and the sizable sustainability-related projects in the AISL program portfolio. The development and broad dissemination of a multiuser game specific to CWEB systems are particularly innovative contributions and advance for both program portfolios and their requisite fields of study. An additional unique feature of the game is the embedding of varying degrees of economic principles and decision-making along with the nuisances of cultural context as salient variables that influence systems thinking. Of note, a team of computer science, management and engineering undergraduate students at the University of Nebraska - Lincoln will be responsible for the engineering, development, and deployment of the game as their university capstone projects. If successful, this game will have a significant reach and impact on youth in informal programs (i.e., 4-H clubs), high school teachers and students in agriculture vocational education courses, college students, and the public. The impact could extend well beyond Nebraska and the targeted Midwestern region. In conjunction with the game development, mixed-methods formative and summative evaluations will be conducted by an external evaluator. The formative evaluation of the game will focus on usability testing, interest and engagement with a select sample of youth at local 4-H clubs and youth day camps. Data will be collected from embedded in-game survey questionnaires, rating scales, observations and focus groups conducted with evaluation sample. These data and feedback will be used to inform the design and refinement of the game. The summative evaluation will focus on the overall impacts of the game. Changes in agricultural systems knowledge, attitudes toward agricultural systems, interest in pursuing careers in agricultural systems, and decision making will be aligned with the Nebraska State Science Standards and tracked using the National Agricultural Literacy Outcomes (NALOs) assessment, game analytics and pre/post-test measures administered to the evaluation study sample pre/post exposure to the game.
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TEAM MEMBERS:
Jeyamkondan SubbiahEric ThompsonDeepak KeshwaniRichard KoelschDavid Rosenbaum
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 INSPIRE project addresses the issue of high volume hydraulic fracturing, also called fracking, and its effects on ground water resources. Fracking allows drillers to extract natural gas from shale deep within the earth. Methane gas sometimes escapes from shale gas wells and can contaminate water resources or leak into the atmosphere where it contributes to greenhouse gas emissions. Monitoring for these potential leaks is difficult because methane is also released into aquifers naturally, and because monitoring is time- and resource-intensive. Such subsurface leakage may also be relatively rare. This project seeks to improve overall understanding of the impacts of natural gas drilling using both advances in computer science and geoscience, and to teach the public about such impacts. The project will elucidate both the effects of human activities such as shale gas development as well as natural processes which release methane into natural waters. Results of the proposed research will lead to a better understanding of water quality in areas of shale-gas development and will highlight problems and potentially problematic management practices. The research will advance both the fields of geoscience and computer science, will train interdisciplinary graduate students, and involve citizen scientists in collecting data and understanding environmental data analysis.
The project combines new hydro-geochemical strategies and data mining approaches to study the release of methane into streams and ground waters. For example, researchers will explore how to analyze the heterogeneous spatial data that describe distributions of methane concentrations in natural waters. The objectives of this project are to i) transform the ability to measure methane in streams; ii) train citizen scientists to work with project scientists to sample streams in an area of shale-gas development and publish large-volume datasets of methane in natural waters and aquifers; iii) innovate data mining and machine learning methods for environmental data to identify anomalous spots with potential leakage; iv) run field campaigns to measure methane concentrations and isotopic signatures of water samples in these spots; v) foster dialogue among nonscientists, consultants, university scientists, members of the gas industry, government agencies, and nonprofit organizations in and beyond the target region. Toward this end, the team will host workshops aimed to build dialogue among stakeholders and will release data analytic software for environmental measurements to benefit a broader research community.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
Well-designed educational games represent a promising technology for increasing students interest in and learning of STEM topics such as physics. This project will research how to optimally combine and embed dynamic assessment and adaptive learning supports within an engaging game design to build effective educational games. The project will add enhancements to a physics game called Physics Playground. The general goal of this research is to test a valid methodology that can be used in the design of next-generation learning games. The enhancement of Physics Playground will leverage the popularity of video games to capture and sustain student attention and teach physics to a much broader audience than is currently the case in traditional physics classrooms. To be most effective, this new genre of learning games needs to not only be highly engaging as a game but also to provide real-time assessment and feedback to students; support understanding of science content (i.e.,Newtonian physics); be accessible to beginners; accommodate a range of proficiencies and interests; and support equity. The research will have particular relevance to designers developing other science games and simulation by providing information about the kinds of learning supports and feedback to students are most effective in promoting engagement and learning. The project is supported by the Cyberlearning and Future Learning Technologies Program, which funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively.
The project will systematically develop, test, and evaluate ways to integrate engaging, dynamic learning supports in Physics Playground to teach formal conceptual physics competencies. More generally, the project aims to advance the learning sciences, particularly in the fields of adaptivity and assessment in educational technology. Using a design-based research approach spanning three years, the research team will: (1) develop and test the effectiveness of various learning support features included in the game in Year 1; (2) develop and test an adaptive algorithm to manage the progression of difficulty in game levels in Year 2; and (3) test learning supports and adaptive sequencing in a controlled evaluation study. This research will provide evidence of the instructional effectiveness of an educational game designed using principles of instructional, game, and assessment design. It will advance understanding of the contributions of different kinds of learning supports (e.g., visualizations and explanations) and adaptivity to game-based learning and contribute to the design of next-generation learning games that successfully blur the distinction between assessment and learning. The project will generate research findings that can be incorporated into other types of STEM learning games.
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TEAM MEMBERS:
Valerie ShuteRussell AlmondFengfeng Ke
This project will develop culturally responsive making and makerspaces with Indigenous communities in Arizona and Utah. The investigators will work in and with these communities to design maker activities utilizing technologies that complement existing cultural practices where the communities are located. This will be done by addressing the following research questions: 1) How does the design of a community makerspace located at a community college on tribal lands differ from the design of a mobile makerspace that travels between tribal communities? What are the affordances and constraints of each model?; 2) How do high-low tech making activities implemented in these two distinct makerspaces support culturally responsive making and STEM learning in American Indian communities?; and 3) How do these new makerspaces and activities impact youth, teacher, and community conceptions of and interest in STEM learning?
By leveraging heritage craft practices, Indigenous technologies, and a mixture of high-low tech tools and materials, this project will expand the range of available maker activities and broaden our definitions of making to encompass craft practices and Indigenous technologies, which are often excluded from the maker literature and makerspaces. Through the design and development of local and mobile makerspace models serving American Indian communities, knowledge of how to design makerspaces that meet community needs and foster STEM learning will be generated. In terms of broader impact, the project will diversify making activities and makerspaces in ways that allow broadened participation in making for underserved American Indian communities. A key project goal is to critically explore making as a democratizing practice that can broaden Indigenous communities' access to and participation in STEM learning. This project is a part of NSF's Maker Dear Colleague Letter (DCL) portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering (CISE), Education and Human Resources (EHR) and Engineering (ENG).
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TEAM MEMBERS:
Bryan BrayboyYasmin KafaiKristin SearleBreanne Litts