DuPage Children's Museum will enhance visitor engagement by incorporating current research on infant and toddler development to redesign two exhibits and develop an educational program for low-income caregivers. The museum will partner with two community-based organizations, Teen Parent Connection and Family Focus DuPage, to collaborate in the project and refer clients to participate in the educational programs. The museum will present twelve onsite sessions that will enable parents and caregivers to nurture an understanding of STEM fundamentals at the museum and at home for their young children. Participants will be given educational videos and take-home kits that correspond with the educational sessions. Project activities will also include training to help museum staff use the exhibits to further a visitor's learning experience. The museum will disseminate project results to other children's museums and early childhood educators and professionals.
The goals of this proposal are: 1) to provide opportunities for underrepresented students to consider careers in basic or clinical research by exciting them through an educational Citizen Science research project; 2) to provide teachers with professional development in science content and teaching skills using research projects as the infrastructure; and 3) to improve the environments and behaviors in early childcare and education settings related to healthy lifestyles across the state through HSTA students Citizen Science projects. The project will complement or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs. It will encourage interactive partnerships between biomedical and clinical researchers,in-service teachers and early childcare and education facilities to prevent obesity.
Specific Aim I is the Biomedical Summer Institute for Teachers led by university faculty. This component is a one week university based component. The focus is to enhance teacher knowledge of biomedical characteristics and problems associated with childhood obesity, simple statistics, ethics and HIPAA compliance, and the principles of Citizen Science using Community Based Participatory Research (CBPR). The teachers, together with the university faculty and staff, will develop the curriculum and activities for Specific Aim II.
Specific Aim II is the Biomedical Summer Institute for Students, led by HSTA teachers guided by university faculty. This experience will expose 11th grade HSTA students to the biomedical characteristics and problems associated with obesity with a focus on early childhood. Students will be trained on Key 2 a Healthy Start, which aims to improve nutrition and physical activity best practices, policies and environments in West Virginia’s early child care and education programs. The students will develop a meaningful project related to childhood obesity and an aspect of its prevention so that the summer institute bridges seamlessly into Specific Aim III.
Specific Aim III is the Community Based After School Club Experiences. The students and teachers from the summer experience will lead additional interested 9th–12th grade students in their clubs to examine their communities and to engage community members in conducting public health intervention research in topics surrounding childhood obesity prevention through Citizen Science. Students and teachers will work collaboratively with the Key 2 a Healthy Start team on community projects that will be focused on providing on-going technical assistance that will ultimately move the early childcare settings towards achieving best practices related to nutrition and physical activity in young children.
Research that seeks to understand classroom interactions often relies on video recordings of classrooms so that researchers can document and analyze what teachers and students are doing in the learning environment. When studies are large scale, this analysis is challenging in part because it is time-consuming to review and code large quantities of video. For example, hundreds of hours of videotaped interaction between students working in an after-school program for advancing computational thinking and engineering learning for Latino/a students. This project is exploring the use of computer-assisted methods for video analysis to support manual coding by researchers. The project is adapting procedures used for computer-aided diagnosis systems for medical systems. The computer-assisted process creates summaries that can then be used by researchers to identify critical events and to describe patterns of activities in the classroom such as students talking to each other or writing during a small group project. Creating the summaries requires analyzing video for facial recognition, motion, color and object identification. The project will investigate what parts of student participation and teaching can be analyzed using computer-assisted video analysis. This project is supported by NSF's EHR Core Research (ECR) program, the STEM+C program and the AISL program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. The project is funded by the STEM+Computing program, which seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within disciplinary STEM teaching and learning in early childhood education through high school (preK-12). As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
The video analysis systems will provide video summarizations for specific activities which will allow researchers to use these results to quantify student participation and document teaching practices that support student learning. This will support the analysis of large volumes of video data that are often time-consuming to analyze. The video analysis system will identify objects in the scene and then use measures of distances between objects and other tracking methods to code different activities (e.g., typing, talking, interaction between the student and a facilitator). The two groups of research questions are as follows. (1) How can human review of digital videos benefit from computer-assisted video analysis methods? Which aspects of video summarization (e.g., detected activities) can help reduce the time it takes to review the videos? Beyond audio analytics, what types of future research in video summarization can help reduce the time that it takes to review videos? (2) How can we quantify student participation using computer-assisted video analysis methods? What aspects of student participation can be accurately measures by computer-assisted video analysis methods? The video to be used for this study is drawn from a project focused on engineering and computational thinking learning for Latino/a students in an after-school setting. Hundreds of hours of video are available to be reviewed and analyzed to design and refine the system. The resulting coding will also help document patterns of engagement in the learning environment.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Marios PattichisSylvia Celedon-PattichisCarlos LopezLeiva
Many urban New Yorkers believe that the Hudson River is so polluted that nothing could possibly live there. In reality, the estuary is thriving, and The River Project (TRP), a marine science field station in lower Manhattan, exists to showcase its vast biodiversity through place-based education. In 2014, TRP began collaborating on a city-wide initiative with New York Harbor Foundation and eight other partner organizations to integrate restoration science into Title I middle school curricula through the Curriculum and Community Enterprise for Restoration Science (CCERS). Teachers in the
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TEAM MEMBERS:
Elisa CarefMelissa RexAnnie LederbergGaylen Moore
Please join us in celebrating Citizen Science Day, which falls this year on Saturday, April 14th. This issue of Connected Science Learning is dedicated to highlighting effective citizen science programs that involve classroom students in collecting data for research scientists, while also engaging them in key STEM (science, technology, engineering, and math) content and practices. Students get a “front row seat” to what scientists do and how scientists work, plus develop the reasoning skills and practices used by scientists.
Project SYSTEMIC (A Systems Thinking Approach to STEM Ecosystem Development in Chicago) will apply systems thinking to a community-level STEM ecosystem development effort in one of Chicago's largest and most distressed neighborhoods. The project aims to broaden participation of African American and low-income Chicago Public School students (preK-12) in STEM learning opportunities. The proposed model of collaborative change for this project builds on the work of two coordinated collective impact initiatives--the Chicago STEM Pathways Cooperative and Austin Coming Together, a network of local organizations committed to improving educational and economic outcomes for the community. A key feature of this project is that it adds innovative, interactive, visual problem structuring and solving strategies to highlight and uncover the systemic interdependencies that contribute to the BP challenge for African American youth. The project will convene a series of workshops to engage community stakeholders in the mapping of the STEM ecosystem. A broad and representative cross-section of community stakeholders will design and develop evidence-based STEM ecosystem organizing and implementation strategies. Key outcomes anticipated from this project are the development of a shared understanding, agenda, activities, and commitment to collectively address the underlying challenges of STEM access and participation for African American youth. The goal of this community-driven project is to develop a viable system model that elevates neighborhood voices, historically excluded from the problem-solving table and decision-making processes, to leverage existing assets, build local capacity, increase messaging and awareness of the value of STEM, identify needed new programs, and develop coordination/resource sharing mechanisms across partners to support implementation. The evaluation of this project will be grounded in systems thinking and culturally-responsive approaches that seek to understand the diverse perspectives of stakeholders while measuring progress toward project goals. Evaluation data will be used to assess the problem structuring process, to evaluate the organizational strategy designed to address the structured problem, and to support adaptive learning among stakeholders.
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
The Bay Area Regional Collaboration to Expand and Strengthen STEM (RECESS) is a regional, unified STEM continuum effort from preschool through graduate school and career. RECESS is based on successful collective impact efforts in other fields and employs a participatory action research (PAR) approach to broaden participation in STEM. In the PAR framework, youth and their families will help to define the issues and develop expertise about community needs through a shared research process.
RECESS introduces participatory action research as an innovative element to the collective impact social agency framework. The intent is to determine the extent to which the engagement and involvement of the students and communities targeted can effectively shape the function of the collective impact network of organizations.
During the two year planning phase, RECESS (a) conducts a comprehensive needs assessment and gap analysis; (b) establishes a functioning organization of stakeholders with a common agenda and governance model; and (c) develops a detailed action plan. It is a significant contribution to the body of knowledge on effective and innovative collective impact structures designed to promote STEM education and participation.
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