This piece explores the politics and possibilities of video research on learning in educational settings. The authors (a research–practice team) argue that changing the stance of inquiry from surveillance to relationship is an ongoing and contingent practice that involves pedagogical, political, and ethical choices on the part of researchers and educators. This discussion is grounded in ethnographic data collected in an equity-oriented, after-school program organized around science, engineering, and arts education.
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 project embeds the expectations of K–2nd NGSS and CCSS-ELA standards into a series of activities, including interactive games, educational apps, non-fiction e-books, hands-on activities, and a digital science notebook. The activities are organized into playlists for educators and students to use in afterschool programs. Each playlist centers on a meaningful conceptual theme in K-2 science learning.
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TEAM MEMBERS:
Joan FreeseMomoko HayakawaBryce Becker
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
We asked science centers and museums to share their best pieces of advice and most important lessons learned regarding the following: 1) selecting topics and activities for out-of-school time programs, 2) partnering with afterschool providers and other community partners, 3) meeting the needs of underserved communities in out-of-school time programs, and 4) running successful camps or programs during school vacations.
In the 11 years since the inception of the Science Minors and Achievers program, the Museum of Science and Industry (MSI), Chicago, has had plenty of anecdotal evidence that this out-of-school time program has a meaningful impact on its participants. Word of mouth was the strongest driver of recruitment, and teens were open with staff about other aspects of their lives. These and other characteristics suggested a deep connection between teens and the program. As the program grew in popularity and size, the museum wanted to see whether these informal observations survived more rigorous scrutiny
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
This project seeks to prepare female Hispanic students for leadership in the STEM workforce. The project seeks to determine if a blended set of STEM engagement activities including summer intensive laboratory-based experiential learning and out-of-school STEM activities, peer support, mentoring, and financial assistance can help to take target students through a traditional leaky workforce and educational pipeline resulting in matriculation to and graduation from undergraduate STEM programs. If successful, the work will increase participation and leadership of Hispanic women in the STEM workforce. To accomplish these goals, the PIs will: (1) work with partners to identify, recruit, and screen bright, energetic Hispanic females in their freshman year of high school who show promise and interest in STEM disciplines; (2) engage selected students and their families in formal and informal STEM learning both throughout the school year and during summer residential experiences to enable the students to further develop and clarify their STEM calling; (3)prepare the students to matriculate to undergraduate college; (4) provide program participants with full-tuition scholarships to ensure undergraduate education is attainable; and (5) at our institution and partner colleges, provide dedicated advisors and mentors and cohort activities to ensure undergraduate persistence and success.
Technical Summary
The PIs seek to prepare female Hispanic students for leadership in the STEM workforce. To compete in the global economy, maintain national security, and meet serious environmental challenges, more skilled graduates are needed to fill STEM jobs. An untapped source of talent exists in those populations that continue to be underrepresented in STEM fields, including women and people of color. This work will help to determine if a blended set of STEM engagement activities including summer intensive laboratory-based experiential learning and out-of-school STEM activities, peer support, mentoring, and financial assistance can help to take target students through a traditional leaky pipeline resulting in matriculation to and graduation from undergraduate STEM education. The work builds on research that shows that mentored research opportunities and peer support and interaction improves persistence in female students. It also builds on regional models of collective impact whereby a variety of corporate, nonprofit, and foundation organizations successfully join together for large-impact projects. If successful, the work will increase participation and leadership of Hispanic women in the STEM workforce.
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TEAM MEMBERS:
April MarchettiCharles EnglishRebecca MichelsenRachele DominguezLaurie Massery
STEM learning is a process that unfolds through dynamic interactions over time and across settings. Formal education in schools is not the only—or necessarily the most significant—context for STEM learning.
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.
Summary
Girlstart’s mission is to increase girls’ interest and engagement in STEM through innovative, nationally-recognized informal STEM education programs. Girlstart examines in this report how STEM education directed toward elementary school girls influences long-term readiness and participation to math and science learning. This report compares Girlstart After School participants’ academic performance to nonparticipant performance. Specifically, it examines how Girlstart After School influences science STAAR performance and course enrollment in subsequent elementary and early middle