This NSF INCLUDES pilot addresses the challenge of broadening participation in Science, Technology, Engineering and Math (STEM) among minoritized youth in grades 5-8 and their access to computer science (CS), which is recognized as integral to all STEM disciplines. This project will specifically focus on developing and understanding computing experiences intentionally designed to strengthen mathematical skills utilizing culturally responsive pedagogy. Culturally responsive pedagogy integrates knowledge relevant to students' identities and communities with computational learning activities, and maximizes the potential for increasing engagement, competence, and belonging of underrepresented youth in computing. This pilot will be situated in community-based organizations, including Boys and Girls Clubs and Public Libraries, with the support of industry partners and the local Department of Education. Given the role of community-based organizations and libraries across the nation for community engagement and educational enrichment, this work represents an exciting opportunity for spreading into thousands of libraries and community centers across the nation, thereby having collective impact that materializes CS for All.
This project will engage minoritized youth in grades 5-8. The overarching vision is to establish a scalable model for providing these students with recurrent opportunities to create computational artifacts that are culturally-responsive to their community contexts. In addition, there will be an explicit and simultaneous focus on strengthening students' mathematical skills. The project has four goals: (1) facilitate culturally-responsive learning of key CS concepts and practices; (2) build youth and community knowledge around positive impacts of computing on local communities; (3) increase participants' knowledge, confidence and interest in becoming creators of computing innovations; and (4) strengthen mathematical skills through intentional computing experiences. The project will adapt and implement CS modules from the NSF-funded Exploring Computer Science curriculum, and will intentionally reinforce mathematics skills and community engagement. It will design and implement a culturally-responsive training model for establishing community instructors who can support CS project learning. Finally, it will create instruments for monitoring project goals and participant outcomes. Due to the collaboration with community-based organizations present in cities across the nation, the model has strong potential to scale up regionally and nationally.
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TEAM MEMBERS:
Lori PollockChrystalla MouzaJohn PeleskoRosalie Rolon-Dow
The Colleges of Science & Engineering and Graduate Education, and the Metro Academies College Success Program (Metro) at San Francisco State University in partnership with San Francisco Unified School District and the San Francisco Chamber of Commerce develop an integrated approach for computing education that overcomes obstacles hampering broader participation in the U.S. science, technology, engineering and mathematics (STEM) workforce. The partnership fosters a more diverse and computing-proficient STEM workforce by establishing an inclusive education approach in computer science (CS), information technology, and computer engineering that keeps students at all levels engaged and successful in computing and graduates them STEM career-ready.
Utilizing the collective impact framework maximizes the efficacy of existing regional organizations to broaden participation of groups under-educated in computing. The collective impact model establishes a rich context for organizational engagement in inclusive teaching and learning of CS. The combination of the collective impact model of social agency and direct engagements with communities yields unique insights into the views and experiences of the target population of students and serves as a platform for national scalable networks.
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TEAM MEMBERS:
Keith BowmanIlmi YoonLarry HorvathEric HsuJames Ryan
Computer science education is rapidly being recognized as essential for all students to develop into successful citizens of the 21st century. A diverse group of stakeholders, including educators, business and industry, policymakers, and parents all agree on the importance of computer science. Significant workforce needs in particular are driving the push for computer science education. In comparison to all other U.S. job categories, computing is projected to have the largest percent growth between 2014 and 2024. And this projected growth may not even entirely capture the full number of
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.
While the term 'failure' brings to mind negative associations, there is a current focus on failure as a driver of innovation and development in many professional fields. It is also emerging from prior research that for STEM professionals and educators, failure plays an important role in designing and making to increase learning, persistence and other noncognitive skills such as self-efficacy and independence. By investigating how youth and educators attend to moments of failure, how they interpret what this means, and how they respond, we will be better able to understand the dynamics of each part of the experience. The research team will be working with youth from urban, suburban and rural settings, students from Title I schools or who qualify for free/reduced-price lunches, those from racial and ethnic minority groups, as well as students who are learning English as a second language. These youth are from groups traditionally underrepresented in STEM and in making, and research indicates they are more likely to experience negative outcomes when they experience failure.
The intellectual merit of this project centers on establishing a baseline understanding of how failure in making is triggered and experienced by youth, what role educators play in the process, and what can be done to increase persistence and learning, rather than failure being an end-state. The research team will investigate these issues through the use of qualitative and quantitative research methods. In particular, the team will design and evaluate the effectiveness of interventions on increasing the abilities of youth and educators in noticing and responding to failures and increasing positive (e.g., resilience) outcomes. Research sites are selected because they will allow collection of data on youth from a wide range of backgrounds. The research team will also work to test and revise their hypothesized model of the influence of factors on persistence through failures in making. 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).
This Research in Service to Practice project, a collaboration of Pepperdine University and the New York Hall of Science, will establish a network of STEM-related Media Making Clubs comprised of after-school students aged 12 - 19 and teachers in the U.S. and in three other countries: Kenya, Namibia and Finland. The media produced by the students may include a range of formats such as videos, short subject films, games, computer programs and specialized applications like interactive books. The content of the media produced by the students will focus on the illustration and teaching of STEM topics, where the shared media is intended to help other students become enthused about and learn the science. This proposal builds on the principal investigator's previous work on localized media clubs by now creating an international network in which after-school students and teachers will collaborate at a distance with other clubs. The central research questions for the project pertain to three themes at the intersection of learning, culture and collaboration: the impact of participatory teaching, virtual networks, and intercultural, global competence. The research will combine qualitative, cross-cultural and big data methods. Critical to the innovation of the project, the research team will also develop a network assessment tool, adapting epistemic network analysis methods to the needs of this initiative. 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:
Eric HamiltonKatherine McMillanPriya Mohabir
Researchers at Georgia Tech and staff at the Center for Puppetry Arts in Atlanta will address the following problem: The growth of computing calls for increased teaching of basic hardware skills, but engaging students beyond those who are already interested in STEM fields is difficult. Emphasizing cultural context through personal expression has shown to attract new audiences such as women and minorities; however, balancing accessibility and educational effectiveness remains problematic. Current educational tools often use "black boxing" to simplify access, to protect the underlying functionality, and/or to stay commercially competitive. Innovations are needed where the basic skills of design and making, along with new educational models, can support students' exploration of everyday electronics and critical thinking. The team will test an after-school model that could be applied in cultural institutions and other venues that would provide students in 4 - 8 grades with multiple computer/electronics-driven puppet design and building workshops. These workshops will provide opportunities for basic hardware and electronics prototyping, personal cultural expression, and performance.
The exploratory research and development method involves three steps: the students develop a story-line (narrative) that will incorporate puppets; they learn and apply basic electronics and mechanical crafts to design, build and test their puppets; and they perform their shows to other participants and their families. Over the course of the project, there will be five workshops: two pilot tests (to test feasibility and design), one mid-project evaluation workshop (to evaluate and re-iterate), and two final workshops conducted by educators, where the research team only observes (to test for transferability). Data collection throughout this development cycle will include video and sound recording, still photography, field notes, pre- and post-questionnaires, and the production of puppet "artifacts" during the workshops. In addition to the data collected in the workshops, the project will produce design documents and educational guidelines, as well as other media (such as instructional video clips), which will be disseminated to educators and researchers.
The project has been successfully concluded. It included additional pilot workshops with puppetry experts and educators in addition to the scheduled development and final evaluation workshops. Overall, the project has led to publications in both educational as well as performance/ game- and interface-related events.
The project also published material on the puppet designs and their possible adaptation to educational settings on the project web site, which also include video documentation. More information is available at: http://dwig.lmc.gatech.edu/projects/prototypingpuppets/
Citizen science engages members of the public in science. It advances the progress of science by involving more people and embracing new ideas. Recent projects use software and apps to do science more efficiently. However, existing citizen science software and databases are ad hoc, non-interoperable, non-standardized, and isolated, resulting in data and software siloes that hamper scientific advancement. This project will develop new software and integrate existing software, apps, and data for citizen science - allowing expanded discovery, appraisal, exploration, visualization, analysis, and reuse of software and data. Over the three phases, the software of two platforms, CitSci.org and CyberTracker, will be integrated and new software will be built to integrate and share additional software and data. The project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects such as those that monitor disease outbreaks, collect biodiversity data, monitor street potholes, track climate change, and any number of other possible topics more possible, efficient, and impactful through shared software.
The project will develop a cyber-enabled Framework for Advancing Buildable and Reusable Infrastructures for Citizen Science (Cyber-FABRICS) to elevate the reach and complexity of citizen science while adding value by mobilizing well-documented data to advance scientific research, meta-analyses, and decision support. Over the three phases of the project, the software of two platforms, CitSci.org and CyberTracker, will be integrated by developing APIs and reusable software libraries for these and other platforms to use to integrate and share data and software. Using participatory design and agile methods over four years, the project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science software and data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects and any number of other possible topics more possible, efficient, and impactful through shared software and data. Adoption of Cyber-FABRICS infrastructure, software, and services will allow anyone with an Internet or cellular connection, including those in remote, underserved, and international communities, to contribute to research and monitoring, either independently or as a team. This project is also being supported 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:
Gregory NewmanLouis LiebenbergStacy LynnMelinda Laituri
Situated within the Advancing Informal STEM Learning program, this Research in Service to Practice award seeks to design, implement, and evaluate an intervention aimed at fostering a culture of productive failure practices. The project responds to a broad concern in educational research and practice: Experiences of failure are frequently so negative that students shut down, lose agency, and develop low self-efficacy and learned helplessness. Surrendering too quickly to obstacles is particularly unfortunate, given evidence that initially "getting it wrong" ultimately breeds deep and sustained learning. In order to learn how students can make the most of productive failure, the proposed project will study how a community of practice that includes middle school youth and their mentors attempts to change its handling of learning obstacles. Building on prior research documenting storytelling practices in an afterschool program, the team now aims to embolden young students' productive practices of failure storytelling in computer science, a field in which experts practice candid, pervasive, and collaborative discourse around errors ("bugs"). Pulling together the domains of narrative analysis, meta-cognitive reflection, and control theories of motivation, within the context of authentic computer-science debugging activity, this study develops a theoretical framework that views productive responses to failure as a discipline-specific process of reflecting as a community on how to locate obstacles, how to construct causal theories about why those obstacles emerged, and how to plan productive responses. A design-based research approach will investigate three questions: (1) What is the impact of the interventions on students and instructors' actions and discourse when they are debugging errors in computer code? (2) What is the impact of the interventions on students and instructors' reflections back on their prior debugging experiences and on failure in general? and (3) What is the impact of the instructor-development efforts on the instructors' capacity to foster students' productive attitudes toward failure? The study focus will be 15 summer and weekend coding workshops with 5th-8th grade students from populations typically under-represented in STEM. The interventions are (a) setting new norms and practices for debugging, (b) instructor education, and (c) coding software that provides students with feedback on their productive struggle. Data sources include video and audio recordings of the learning environment, artifacts produced during the activities, and semi-structured interviews. Measures will capture variations in debugging activities, reflections on debugging, students' ideas about grit and growth mindset, and instructors' struggles and successes with the new curriculum. The empirical results will consist of mixed-methods, micro-longitudinal accounts of how a community of practice works to reform its orientation to failure. The products of this work include empirical knowledge, theory, and curriculum about how learning communities help students develop robust and efficient responses to failure. These will be disseminated through journals, open-source software, and workshops/conferences for researchers and practitioners working with youth afterschool programs. The products may be useful for exploring practices in the classroom. This project is being conducted by the 9 Dots Community Learning Center, UCLA and UC Berkeley.
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TEAM MEMBERS:
Melissa ChenDor AbrahamsonNoel EnyedyFrancis SteenDavid DeLiema
As part of an overall strategy to enhance learning within maker contexts in formal and informal environments, the Innovative Technology Experiences for Students and Teachers (ITEST) and Advancing Informal STEM Learning (AISL) programs partnered to support innovative models for making in a variety of settings through the Enabling the Future of Making to Catalyze New Approaches in STEM Learning and Innovation Dear Colleague Letter. This Early Concept Grant for Exploratory Research (EAGER) will test an innovative approach to bringing making from primarily informal out-of-school contexts into formal science classrooms. While the literature base to support the positive outcomes and impacts of design-based making in informal settings at the K-12 level is emerging, to date, minimal studies have investigated the impacts of making design principles within formal contexts. If successful, this project would not only add to this gap in the literature base but would also present a novel model for bridging the successful engineering design practices of making and tinkering primarily found in informal science education into formal science education classrooms. The model would also demonstrate an innovative, highly interactive way to engage high school students and their teachers in engineering based design principles with immediate real-world applications, as the scientific instruments developed in this project could be integrated directly into science classrooms at relatively minimal costs.
Through a multi-phased design and implementation model, high school students and their teachers will engage deeply in making design principles through the design and development of their own scientific instruments using Arduino-compatible hardware and software. The first phase of the project will reflect a more traditional making experience with up to twenty high school students and their teachers participating in an after-school design making club, in this case, focused on the development and testing of scientific instrument prototypes. During the second phase of the project, the first effort to transpose the after school making experience to a more formalized experience will be tested with up to eight students selected to participate in two week summer research internships focused on scientific instrument design and development through making at Northwestern University. A two-day summer teacher workshop will also be held for high school teachers participating in the subsequent pilot study. The collective insights gleaned from the after school program, student internships, and teacher workshop will culminate to inform the full implementation of the formal classroom pilot study. The third and final phase will coalesce months of iterative, formative research, design and development, resulting in a comprehensive pilot investigation in up to seven high school physics classrooms.
Using a multi-phased, mixed methods exploratory design-based research approach, this 18-month EAGER will explore several salient research questions: (a) How and to what extent does the design & making of scientific instrumentation serve as useful tasks for learning important science and engineering knowledge, practices, and epistemologies? (b) How engaging is this making activity to learners of diverse abilities and prior interests? What can be generalized to other types of making activities? (c) How accessible is the Arduino hardware and coding environment to learners? What combination of hardware and software materials and tools best support accessibility and learning in this type of digital making activity? and (d) What types of scaffolding (for students and teachers) are required to support the effective use of maker materials and activities in a classroom setting? Structured interviews, artifacts, video recordings from visor cameras, student design logs, logfiles, and ethnographic field notes will be employed to garner data and address the research questions. Given the early stage of the proposed research, the dissemination of the findings will be limited to a few select journals, teacher forums and workshops, and professional conferences.
This EAGER is well-poised to directly impact up to 125 high school physics students (average= 25 students/class), approximately 7 high school physics teachers, 6-8 high school summer interns, nearly 20 high school students participating in the after-school design making club, and indirectly many more. The results of this EAGER could provide the basis and evidence needed to support a more robust, expanded future investigation to further substantiate the findings and build the case for similar efforts to bring making into formal science education contexts.