The Bay Area Discovery Museum will address the need for STEM education by delivering engineering outreach programming to schools and libraries throughout the San Francisco Bay Area. The museum's mobile engineering lab, Try It Truck, will introduce the engineering design process to students and teachers in grades K-5 with hands-on activities (both on and off the truck) where they can collaborate, experiment, and design solutions to engineering challenges. The Try It Truck will serve 21,600 children, parents, and educators throughout the Bay Area, with at least 50 percent of all participants coming from underserved communities and Title I schools. The museum will work with an external evaluator to design survey instruments for both formative and summative evaluation, analyze summative evaluation data, and produce a report. Museum staff will share project results with colleagues at national and statewide conferences.
In partnership with early childhood service providers and elementary school systems, the Children's Museum of the Lowcountry will expand the reach of its programming to share its hands-on, play-based approach to STEM education with targeted children and educators. The museum will create a Power of Play curriculum with lesson plans that reflect best practices and focus on play-based activities to teach STEM concepts tied to grade level and state standards. The museum will train and support 40 teachers and educators from ten Head Start/First Steps early childhood centers and ten Title I elementary schools, and provide them with free Pop Up Tinker Shop (a museum on wheels) outreach visits. The trainings will build teacher confidence, promote best practices for play-based learning, support a community of practice, and enhance young learners' engagement, fascination, and attitude towards STEM. The Power of Play Curriculum will be published as a bound resource and shared with other children's museums and service providers.
The Hands On Children's Museum will build on two of its most distinctive features-an Outdoor Discovery Center and a Young Makers program-to create a Nature Makers program. The interdisciplinary project will link nature-based learning with maker activities that use natural materials. Partnerships with Native American tribes, scientists, maker groups, and others will enrich the staff-led offerings. Nature Makers addresses two of the most significant needs in early learning-inspiring early STEM education and connecting children with the outdoors. Nature Makers will increase children's exposure to outdoor tinkering to build the foundation for STEM success in school; educate parents, caregivers, and teachers about the important role outdoor exploration plays in STEM achievement; and stimulate children's curiosity about the natural world and increase the time they spend outside. Evaluation findings will be shared internally to inform continuous improvement of program offerings, and externally to serve as a model for outdoor making activities.
The Children's Museum at La Habra's Lil' Innovators Early Childhood STEM project will increase STEM skill and engagement among early childhood preschool teachers, disadvantaged preschoolers, and their parents. Delivered in partnership with three of La Habra's Head Start and California State Preschool program schools, the project will provide 224 preschoolers and 20 teachers with a year-long program offering increased developmental skills in STEM for underserved, low-income Hispanic students who are primarily English Language Learners. Teacher outcomes will include improved strategies for teaching STEM and increased teaching quality of STEM subjects. Parent outcomes include increased belief in the importance of STEM and increased ability to support their child's STEM learning. The standards-based education project will improve the museum's ability to serve its public by creating a community of practice consisting of a network of administrators, educators, and evaluators who will work together to improve the quality of STEM education for the youngest learners in this academically-challenged community.
This workshop is funded through the "Dear Colleague Letter: Principles for the Design of Digital Science, Technology, Engineering, and Mathematics (STEM) Learning Environments (NSF 18-017)." In today's educational climate, organizations are creating physical learning spaces for hands-on STEM activities, often called makerspaces, co-working spaces, innovation labs, or fablabs. These spaces have evolved to be interdisciplinary centers that personalize learning for individual, diverse learners in collaborative settings. When designed well, these physical spaces create communities that contextualize learning around participants' goals and thus address STEM learning in a dynamic and integrated way. Participation in these learning environments encourages the cultivation of STEM identities for young people and can positively direct their career trajectories into STEM fields. This workshop will bring together a community of collaborators from multiple stakeholder groups including academia, public libraries, museums, community based organizations, non-profits, media makers and distribution channels, and educators within and beyond K-12 schools. Led by the University of Arizona, and held at Biosphere 2, an international research facility, participants will engage in activities that invite experimentation with distributed learning technologies to examine ways to adapt learning to the changing technological landscape and create robust, dynamic online learning environments. The workshop will culminate in a synthesis of design principles, assessment approaches, and tools that will be shared widely. Partnerships arising from the workshop will pave the way for sustained efforts in this area that span research and practice communities. Outcomes will address research and development of the next generation of digitally distributed learning environments.
The three day workshop convening will provide a unique forum to (1) exchange innovative ideas and share challenges and opportunities, (2) connect practical and research-based expertise and (3) form cross-institutional and cross-community partnerships that envision, propose, and implement opportunities for collecting and analyzing data to systematically inform the collective understanding. Participation-based activities will include design-based experiences, participatory activities, demonstrations of works in progress, prototyping, creative pitching, practitioner lightning talks, small group breakouts, hands-on design activities, and an 'unconference' style synthesis of bold ideas. Participants will be invited to experiment with distributed learning technologies. Five focus areas for the workshop include (1) inclusivity of learning spaces that invite multiple perspectives and full participation, (2) documenting learning in ways that are linked to outcomes and impacts for all learners, (3) implementing the use of new technologies in diverse settings, such as the workforce, (4) interpersonal interactions and peer-to-peer learning that may encourage a STEM career-path, and, (5) methods for collecting and analyzing data at the intersection of people, the learning environment, and new technologies at multiple levels. Outcomes of the workshop will serve to advance knowledge regarding critical gaps and opportunities and identify and characterize models of collaboration, networking, and innovation that operate within and across studio-based STEM learning environments.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) vs. environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children’s chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents’ socioeconomic class. For example, children from high-income (top 1%) families are ten times as likely to become inventors as those from below-median income families. These gaps persist even
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TEAM MEMBERS:
Alex BellRaj ChettyXavier JaravelNeviana PetkovaJohn Van Reenen
This is a story about learning STEM content and practices while making objects. It is also a story about how that learning is contextualized in one young man’s disruption of racism simply by trying to learn how gears work. Our project, Investigating STEM Literacies in MakerSpaces (STEMLiMS), focuses on how adults and youth use representations to accomplish tasks in STEM disciplines in formal and informal making spaces (Tucker-Raymond, Gravel, Kohberger, & Browne, 2017). Making is an interdisciplinary endeavor that may involve mechanical and electrical engineering, digital literacies and
Given the growth of technology in the 21st century and the growing demands for computer science skills, computational thinking has been increasingly included in K-12 STEM (Science, Technology, Engineering and Mathematics) education. Computational thinking (CT) is relevant to integrated STEM and has many common practices with other STEM disciplines. Previous studies have shown synergies between CT and engineering learning. In addition, many researchers believe that the more children are exposed to CT learning experiences, the stronger their programming abilities will be. As programming is a
In November 2016, within an Environmental studies course at the University of Venice, students carried out an experiment aimed at collecting scenarios of the Venetian coast's future starting from lessons learnt during the episode of storm surge 50 years ago (Aqua Granda ‘flood’). The students built scenarios able to anticipate the effect of sea level rise on coastal areas in Venice, based not only on scientific input but also on a methodology called “Futurescape city Tours” (FCT) involving inhabitants of the barrier islands of Lido and Pellestrina. This paper will explore three main questions
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TEAM MEMBERS:
Alba L’AstorinaAlessia GhezziStefano GuerzoniEmanuela Molinaroli
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
One way to motivate young people from diverse backgrounds to pursue engineering careers is to enlist them as educators who can help the general public understand how engineers help respond to the challenges of everyday life. The New York Hall of Science, which serves a large and diverse audience, is an ideal setting for testing the promise of this strategy. Youth educators and curators of public programs at the Hall of Science will mentor two groups of high school- and early college-aged youth, who will contribute to the design and facilitation of engineering-focused events and activities for museum visitors. They will work together to develop engineering programming for the public that emphasizes the cultural and interpersonal dimensions of engineering practices. This group of young people will be recruited from the Hall of Science's more than 100 Explainers, a very diverse group of young people who work part-time at the Hall of Science and engage with visitors as they explore the museum. Researchers will track participants' experiences and document their impact on museum visitors' perceptions of engineering. The expectation is that creating and delivering these experiences for visitors will have a positive impact on the youth participants' understanding of the engineering disciplines, and on visitors' perceptions of engineering and its relationship to everyday life.
The project will use observations, interviews, journaling, and the Engineering Professional Skills Assessment to explore youth experience, and visitor exit surveys and interviews to probe visitor perceptions. Both the skills assessment and visitor surveys are NSF-funded instruments. Data coding will be grounded in the engineering habits of mind defined by the National Research Council's Committee on Understanding and Improving K-12 Engineering Education in the United States (2009). The project will capture evidence regarding which habits of mind the Fellows are most frequently engaged with. The effort will also explore how interactions with peers (as colleagues), with experts (as learners, such as with Designers in Residence) and with visitors (as teachers and leaders) may be associated with different combinations of the habits of mind over the course of the project. Visitor data and assessment data will allow the project to begin to make analytic connections between participating young people's increased understanding of culturally-situated engineering challenges, and their impact on the experiences of museum visitors who engage with engineering programming at the Hall of Science.
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