We present the assets that collaboration across a land grant university brought to the table, and the Winterberry Citizen Science program design elements we have developed to engage our 1080+ volunteer berry citizen scientists ages three through elder across urban and rural, Indigenous and non-Indigenous, and formal and informal learning settings.
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TEAM MEMBERS:
Katie SpellmanJasmine ShawChristine VillanoChrista MulderElena SparrowDouglas Cost
Hero Elementary is a transmedia educational initiative aimed at improving the school readiness and academic achievement in science and literacy of children grades K-2. With an emphasis on Latinx communities, English Language Learners, youth with disabilities, and children from low-income households, Hero Elementary celebrates kids and encourages them to make a difference in their own backyards and beyond by actively doing science and using their Superpowers of Science. The content is aligned with NGSS and CCSS-ELA for K–2.
This report summarizes findings from a case study with 4 large
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TEAM MEMBERS:
Betsy McCarthyDaniel BrennerClaire MorganJoan FreeseMomoko Hayakawa
Hero Elementary is a transmedia educational initiative aimed at improving the school readiness and academic achievement in science and literacy of children grades K-2. With an emphasis on Latinx communities, English Language Learners, youth with disabilities, and children from low-income households, Hero Elementary celebrates kids and encourages them to make a difference in their own backyards and beyond by actively doing science and using their Superpowers of Science. The content is aligned with NGSS and CCSS-ELA for K–2. This report summarizes findings from a case study with 4 large
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TEAM MEMBERS:
Betsy McCarthyDaniel BrennerClaire MorganJoan FreeseMomoko Hayakawa
In spring 2019, WestEd conducted a pilot study using five playlists to understand the feasibility of implementing the playlists in afterschool programs and to discuss the potential impact of the playlists on student science learning. The research questions were: 1) How are the playlists implemented in after-school programs? 2) What is the potential impact of playlists on student science knowledge and skills? Student science knowledge was measured using the ScienceQuest test, and attitudes towards science were measured by the Emerging STEM Learning Activation Survey. Data were analyzed using a
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Collaborative robots – cobots – are designed to work with humans, not replace them. What learning affordances are created in educational games when learners program robots to assist them in a game instead of being the game? What game designs work best?
This practitioner guide summarizes lessons learned from a three-year design-based research project focused on using elements of narrative (such as characters, settings, and problem frames) to evoke empathy and support girls' engagement in engineering design practices. The guide includes a summary of the driving concepts and key research findings from this work, as well as design principles for creating narrative-based engineering activities. Six activity case studies illustrate the design principles in action, and facilitation tips and observation tools offer practical guidance in developing
This project is a Smart and Connected Communities award. The community is part of Evanston, Illinois and is composed of the lead partners described below:
EvanSTEM which is a in-school/out of school time (OST) program to improve access and engagement for students in Evanston who have underperformed or been underrepresented in STEM.
McGaw YMCA which consists of 12,000 families serving 20,000 individuals and supporting technology and makerspace activities (MetaMedia) in a safe community atmosphere.
Office of Community Education Partnerships (OCEP) at Northwestern University which provides support for the university and community to collaborate on research, teaching, and service initiatives.
This partnership will develop a new approach to learning enagement through the STEAM (Science, Technology, Engineering, Arts, and Mathematics) interests of all young people in Evanston. This project is entitled Interests for All (I4All) and builds upon existing research results of the two Principal Investigators (PIs) and previous partnerships between the lead partners (EvanSTEM and MetaMedia had OCEP as a founding partner). I4All also brings together Evanston school districts, OST prividers, the city, and Evanston's Northwestern University as participants.
In particular the project builds on PI Pinkard's Cities of Learning project and co-PI Stevens' FUSE Studios project. Both of these projects have explicit goals to broaden participation in STEAM pursuits, a goal that is significantly advanced through I4All. In this project, I4All infrastructure will be evaluated using quantitative metrics that will tell the researchers whether and to what degree Evanston youth are finding and developing their STEAM interests and whether the I4All infrastructure supports a significantly more equitable distribution of opportunities to youth. The researchers will also conduct in depth qualitative case studies of youth interest development. These longitudinal studies will complement the quantitative metrics of participation and give measures that will be used in informing changes in I4All as part of the PIs Design Based Implementation Research approach. The artifacts produced in I4All include FUSE studio projects, software infrastructure to guide the students through OST and in-school activities and to provide to the students actionable information as to logistics for participation in I4All activities, and data that will be available to all stakeholders to evaluate the effectiveness of I4All. Additionally, this research has the potential to provide for scaling this model to different communities, leveraging the OST network in one community to begin to offer professional development more widely throughout the school districts and as an exemplar for other districts. These research results could also affect strategies and policies created by local school officials and community organizations regarding how to work together to create local learning environments to create an ecosystem where formal and informal learning spaces support and reinforce STEAM knowledge.
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.
But many young people face signifcant economic, cultural, historical, and/or social obstacles that distance them from STEM as a meaningful or viable option— these range from under-resourced schools, race- and gender-based discrimination, to the dominant cultural norms of STEM professions or the historical uses of STEM to oppress or disadvantage socio-economically marginalized communities (Philip and Azevedo 2017). As a result, participation in STEM-organized hobby groups, academic programs, and professions remains low among many racial, ethnic, and gender groups (Dawson 2017). One solution to
Background. STEM identity has emerged as an important research topic and a predictor of how youth engage with STEM inside and outside of school. Although there is a growing body of literature in this area, less work has been done specific to engineering, especially in out-of-school learning contexts.
Methods. To address this need, we conducted a qualitative investigation of five adolescent youth participating in a four-month afterschool engineering program. The study focused on how participants negotiated engineering-related identities through ongoing interactions with activities, peers
Children Investigating Science with Parents and Afterschool (CHISPA) was a collaboration between the Phillip and Patricia Frost Museum of Science, UnidosUS (formerly National Council of La Raza), and the ASPIRA Association that took place from 2014-18. CHISPA sought to address the disparity in science achievement among Latino and non-Latino children through local-level partnerships between science museums in metropolitan areas with growing Latino populations and UnidosUS and ASPIRA affiliate organizations serving the same communities through afterschool programs.
Partners included the
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
The PEAR Institute: Partnerships in Education and Resilience at McLean Hospital and Harvard Medical School conducted a year-long study of the Tulsa Regional STEM Alliance (TRSA). Funded by the Overdeck Family Foundation, STEM Next Opportunity Fund, and the Charles and Lynn Schusterman Family Foundation, this study is the first of its kind among 68 national and international STEM Ecosystems.
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TEAM MEMBERS:
Kristin Lewis-WarnerPatricia AllenGil Noam