The Center for Integrated Quantum Materials pursues research and education in quantum science and technology. With our research and industry partners, the Museum of Science, Boston collaborates to produce public engagement resources, museum programs, special events and media. We also provide professional development in professional science communication for the Center's students, post-docs, and interns; and coaching in public engagement. The Museum also sponsors The Quantum Matters(TM) Science Communication Competition (www.mos.org/quantum-matters-competition) and NanoDays with a Quantum Leap. In association with CIQM and IBM Q, the Museum hosted the first U.S. museum exhibit on quantum computing.
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TEAM MEMBERS:
Robert WesterveltCarol Lynn AlpertRay AshooriTina Brower-Thomas
Computational Thinking (CT) is a relatively new educational focus and a clear need for learners as a 21st century skill. This proposal tackles this challenging new area for young learners, an area greatly in need of research and learning materials. The Principal Investigators will develop and implement integrated STEM+C museum exhibits and integrate CT in their existing engineering design based PictureSTEM curriculum for K-2 students. They will also pilot assessments of the CT components of the PictureSTEM curriculum. This work will make a unique contribution to the available STEM+C learning materials and assessments. There are few such materials for the kindergarten to second grade (K-2) population they will work with. They will research the effects of the curriculum and the exhibits with a mixed methods approach. First, they will collect observational data and conduct case studies to discover the important elements of an integrated STEM+C experience in both the formal in-school setting with the curriculum and in the informal out-of-school setting with families interacting with the museum exhibits. This work will provide a novel way to understand the important question of how in- and out-of-school experiences contribute to the development of STEM and CT thinking and learning. Finally, they will collect data from all participants to discover the ways that their activities lead to increases in STEM+C knowledge and interest.
The Principal Investigators will build on an integrated STEM curriculum by integrating CT and develop integrated museum exhibits. They base both activities on engineering design implemented through challenge based programming activities. They will research and/or develop assessments of both STEM+C integrated thinking and CT. Their research strategy combines Design Based Research and quantitative assessment of the effectiveness of the materials for learning CT. In the first two years of their study, they will engage in iterations on the design of the curriculum and the exhibits based on observation and case-study data. There will be 16 cases that draw from each grade level and involve data collection for the case student in both schools and museums. They will also use this work to illuminate what integrated STEM+C thinking and learning looks like across formal and informal learning environments. Based in some part on what they discover in this first phase, they will conduct the quantitative assessments with all (or at least most) students participating in the study
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.
Reconceptualizing STEM + Computing Literacy is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance multidisciplinary integration of computing and computational thinking in K-12 science, technology, engineering, and mathematics (STEM) teaching and learning through applied research and development across one or more domains, and broadening participation in computing and computing-related fields. The project will study the integration of computational thinking as part of a new and more contemporary perspective of STEM literacy, and will design, develop, and beta-test a prototype literacy assessment tool that will measure computational thinking literacy along with measures of literacy in other STEM content areas. The tool will be available to the general public as a self-measurement application (App) that can be used by individuals to test their own literacy, and by teachers, schools, and informal educators and organizations to assess literacy development in their students and in their STEM education programs. This transdisciplinary research project will begin the process of creating an innovative approach and tool for measuring literacy that will expand the definition of literacy to include computational skills along with science reasoning. Literacy is an important concept and measurement that has traditionally been used to assess an individual's knowledge of science. This project will explore a broader literacy perspective that incorporates learning derived from out of school and one that incorporates computational skills and thinking as part of a more contemporary perspective of STEM literacy. A prototype web-based App allowing individuals and education organizations to assess literacy levels, and ways to enhance literacy, will be developed and studied. The methodology will be developed using discussions and knowledge from over 60 experts across computing, education, science, social science, and other STEM fields using a Delphi method to engage in reconceptualization of literacy. The hypothesis is that this new STEM+C literacy framework should be structured along four interacting but semi-independent domains: 1) general STEM+C knowledge; 2) self-defined areas of STEM+C knowledge and expertise; 3) attitudes and beliefs related to STEM+C; and 4) the skills and competencies necessary to participate in STEM+C related pursuits and discussions, including measures of modes of STEM+C thinking. Each of these four domains is likely to include numerous sub-domains and associated descriptors, which collectively describe the different aspects of being a STEM+C literate citizen. The application will be designed to provide feedback to individuals on their knowledge, attitudes and skills compared with those of others and suggest ways to enhance and improve their skills and understanding through an embedded feedback mechanism. This project creates public benefit by providing individuals and organizations with a responsive real-time understanding measuring STEM+C literacy, deepening the dialogue about the value of public engagement in science, engineering, technology, math and computing and revealing the dynamic factors that inform STEM+C literacy.
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.
As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. This media and technology project will scale up Youth Radio's proven model of STEM education through youth-driven multimedia journalism and related app development using the MIT App Inventor. A new Youth News Network (YNN) will implement a nationwide feeder system of youth reporters and educators using the previously developed and proven STEM curriculum. Previous research and evaluation has demonstrated that this model can engage underserved youth and put them in leadership positions in technological innovation. Key deliverables include the YNN STEM Desk that will produce 15-20 STEM-related stories each year; bootcamps (1-3 day workshops) training youth around the country focusing on app development and media links; and new toolkits providing resources to help with app development, data analysis and other STEM-specific skills. Project partners include MIT Media Lab, National Public Radio, Best Buy's Teen Tech Centers, National Writing Project, Computer Clubhouses, and PBS Learning Media among others.
Over the previous eight years, research and evaluation findings had been used to refine the project. These data served as the foundation for this scale-up project. The research conducted by the investigator and the Scholar-in-Residence in this scale-up uses an embedded ethnographic approach that combines field notes, recorded meetings and discussions, media artifacts, etc.--data that is transcribed and coded for indicators of STEM learning and critical computational literacy. The external summative evaluation will build on prior evidence regarding how this unique model engages youth and impacts their skills in STEM related media and technology.
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TEAM MEMBERS:
Elisabeth SoepEllin O'LearyHarold Abelson
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
This project will capitalize on the power of story to teach foundational computational thinking (CT) concepts through the creation of animated and live-action videos, paired with joint media engagement activities, for preschool children and their parents. Exposure at a young age to CT is critical for preparing all students to engage with the technologies that have become central to nearly every occupation. But despite this recognized need, there are few, if any, resources that (1) introduce CT to young children; (2) define the scope of what should be taught; and (3) provide evidence-based research on effective strategies for bringing CT to a preschool audience. To meet these needs, WGBH and Education Development Center/Center for Children and Technology (EDC/CCT) will utilize an iterative research and design process to create animated and live-action videos paired with joint media engagement activities for parents and preschool children, titled "Monkeying Around". Animated videos will model for children how to direct their curiosity into a focused exploration of the problem-solving process. Live-action videos will feature real kids and their parents and will further illustrate how helpful CT can be for problem solving. With their distinctive visual humor and captivating storytelling, the videos will be designed to entice parents to watch alongside their children. This is important since parents will play an important role in guiding them in explorations that support their CT learning. To further promote joint media engagement, hands-on activities will accompany the videos. Following the creation of these resources, an experimental impact study will be conducted to capture evidence as to if and how these resources encourage the development of young children's computational thinking, and to assess parents' comfort and interest in the subject. Concurrent with this design-based research process, the project will build on the infrastructure of state systems of early education and care (which have been awarded Race to the Top grants) and local public television stations to design and develop an outreach initiative to reach parents. Additional partners--National Center for Women & Information Technology, Code in Schools, and code.org (all of whom are all dedicated to promoting CT)--will further help bring this work to a national audience.
Can parent/child engagement with digital media and hands-on activities improve children's early learning of computational thinking? To answer this question, WGBH and EDC/CCT are collaborating on a design-based research process with children and their parents to create Monkeying Around successive interactions. The overarching goal of this mixed-methods research effort is to generate evidence that supports the development of recommendations around the curricular, instructional, and contextual factors that support or impede children's acquisition of CT as a result of digital media viewing and hands-on engagement. Moving through cycles of implementation, observation, analysis, and revision over the course of three years, EDC/CCT researchers will work closely with families and WGBH's development team to determine how children learn the fundamentals of CT, how certain learning tasks can demonstrate what children understand, how to stimulate interest in hands-on activities, and the necessary scaffolds to support parental involvement in the development of children's CT. Each phase of the research will provide rich feedback to inform the next cycle of content development and will include: Phase 1: the formulation of three learning blueprints (for algorithmic thinking, sequencing, and patterns); Phase 2: the development of a cohesive set of learning tasks to provide evidence of student learning, as well as the production of a prototype of the digital media and parent/child engagement resources (algorithmic thinking); Phase 3-Part A: pilot research on the prototype, revisions, production of two additional prototypes (sequencing and patterns); Phase 3-Part B: pilot research on the three prototypes and revisions; and Phase 4: production of 27 animated and live-action videos and 18 parent/child engagement activities and a study of their impact. Through this process, the project team will build broader knowledge about how to design developmentally appropriate resources promoting CT for preschool children and will generate data on how to stimulate interest in hands-on activities and the necessary scaffolds to support parental involvement in the development of children's CT. The entire project represents an enormous opportunity for WGBH and for the informal STEM media field to learn more about how media can facilitate informal CT learning in the preschool years and ways to broaden participation by building parents' capacity to support STEM learning. 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.
This project, a collaboration of teams at Georgia Institute of Technology, Northwestern University, and the Museum of Design Atlanta and the Museum of Science and Industry in Chicago, will investigate how to foster engagement and broadening participation in computing by audiences in museums and other informal learning environments that can transfer to at-home and in-school engagement (and vice versa). The project seeks to address the national need to make major strides in developing computing literacy as a core 21st century STEM skill. The project will adapt and expand to new venues their current work on their EarSketch system which connects computer programming concepts to music remixing, i.e. the manipulation of musical samples, beats and effects. The initiative involves a four-year process of iteratively designing and developing a tangible programming environment based on the EarSketch learning environment. The team will develop three new applications: TuneTable, a multi-user tabletop exhibit for museums; TunePad, a smaller version for use at home and in schools; and an online connection between the earlier EarSketch program and the two new devices.
The goal is to: a) engage museum learners in collaborative, playful programming experiences that create music; b) direct museum learners to further learning and computational music experiences online with the EarSketch learning environment; c) attract EarSketch learners from local area schools to visit the museum and interact with novice TuneTable users, either as mentors in museum workshops or museum guests; and d) inform the development of a smaller scale, affordable tangible-based experience that could be used at homes or in smaller educational settings, such as classrooms and community centers. In addition to the development of new learning experiences, the project will test the hypothesis that creative, playful, and social engagement in the arts with computer programming across multiple settings (e.g. museums, homes, and classrooms) can encourage: a) deeper learner involvement in computer programming, b) social connections to other learners, c) positive attitudes towards computing, and d) the use and recognition of computational concepts for personal expression in music. The project's knowledge-building efforts include research on four major questions related to the goals and evaluation processes conducted by SageFox on the fidelity of implementation, impact, success of the exhibits, and success of bridging contexts. Methods will draw on the Active Prolonged Engagement approach (unobtrusive observation, interviews, tracking-and-timing, data summaries and team debriefs) as well as Participatory Action Research methods.
This work is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Michael HornBrian MagerkoJason Freeman
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