SciGirls Strategies is a National Science Foundation–funded project led by Twin Cities PBS (TPT) in partnership with St. Catherine University, the National Girls Collaborative, and XSci (The Experiential Science Education Research Collaborative) at the University of Colorado Boulder’s Center for STEM Learning. This three-year initiative aims to increase the number of high school girls recruited to and retained in fields where females are traditionally underrepresented: technical science, engineering, technology, and math (STEM) pathways. We seek to accomplish this goal by providing career and
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TEAM MEMBERS:
Rita KarlBradley McLainAlicia Santiago
Informal learning opportunities are increasingly being recognized as important for youth participation in authentic experiences at the intersection of science, technology, engineering, and math (STEM) (Dorsen, Carlson, and Goodyear 2006). These experiences may involve specialized equipment and dedicated time for learners to gain familiarity with the relevant scientific and engineering practices (i.e., designing experiments on their own, struggling to make sense of data, learning from their own mistakes and the results of peers), which often go beyond the classroom. However, the educators who
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TEAM MEMBERS:
Kathryn WilliamsonSue Ann HeatherlyVivian HoetteEva Erdosne TothDavid Beer
As a leader in the science museum field, the New York Hall of Science (NYSCI) is a destination for hands-on, interactive exhibitions and innovative programs. NYSCI’s Design-Make-Play (DMP) pedagogical approach to STEM learning recognizes that what is essential is not only the content—what is being taught—but how teaching and learning are imagined through the curriculum. This commitment to practice builds off of interest-based learning research, which emphasizes that all learners should feel a sense of efficacy and possibility. The hallmarks of this approach include deep personal engagement
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TEAM MEMBERS:
Amanda SolarshGina TesorieroMichaela LabrioleTara Chudoba
Large gaps in achievement and interest in science and engineering [STEM] persist for youth growing up in poverty, and in particular for African American and Latino youth. Within the informal community, the recently evolving “maker movement” has evoked interest for its potential role in breaking down longstanding barriers to learning and attainment in STEM, with advocates arguing for its “democratizing effects.” What remains unclear is how minoritized newcomers to a makerspace can access and engage in makerspaces in robust and equitably consequential ways.
This paper describes how and why
In this paper we investigated the role youth participatory ethnography played as a pedagogical approach to supporting youth in making. To do so, we examined in-depth cases of youth makers from traditionally marginalized communities in two makerspace clubs in two different mid-sized US cities over the course of three years. Drawing from mobilities of learning studies and participatory frameworks, our findings indicate that participatory ethnography as pedagogical practice repositioned youth and making by helping to foreground youths’ relationality to people, communities, activities and
The “Fourth Industrial Revolution” is transforming the world of work. Just as it happened with the technologies of the steam, electricity and computer revolutions, digital technologies are now becoming pervasive and reshaping all parts of the global economy. The computing industry’s rate of job creation in the U.S. is now three times the U.S. national average. This rapid expansion of the computing workforce means that computing skills – with coding at the core – are the most sought-after skills in the American job market.
Yet amid this boom, research by Accenture and Girls Who Code shows
Keystone Connect Network is a proposed regional broadband network whose purpose is to increase educational opportunities and generate business growth. The backbone of this plan is the Pennsylvania Research and Education Network's (PennREN), a next generation high-speed internet network, managed by KINBER, which educational institutions can use to train their students and create new learning opportunities; and business can create new products and connect with their customers.
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.
This project will make synthetic biology activities accessible to high school students and teachers by providing them with an authentic but safe context to learn. These activities will also broaden their understanding and perspectives about how synthetic biology and bioengineering is used in personal, health, and food production contexts as well as raise their interest in STEM. The design of bioMAKERlab will generate an educational version of an existing professional-grade lab for synthetic biology to promote safe production, accessibility, and affordability for high schools and community colleges interested in integrating such wetlab activities into their curriculum.
Most current efforts to broaden access to maker activities for K-12 students have focused on developing collaborative fabrication workspaces (fablabs) involving 3D printers, laser cutters, and other digital and traditional tools. This project will develop and implement bioMAKERlab, an innovative wetlab starter kit and activities that will enable high school students and teachers to engage in synthetic biology by building genetic circuits that let microorganisms change color, smell, and shape. In synthetic biology, participants make their own DNA--gene by gene--and then grow their designs into real applications by inserting them into microorganisms to develop different traits and characteristics provided by the genes. The project will involve students from a Philadelphia public high school and young people participating in weekend workshops at The Franklin Institute, a Philadelphia-based science museum.
This project is a part of NSF's Maker Dear Colleague Letter portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering, Education and Human Resources, and Engineering.
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
While the term 'failure' brings to mind negative associations, there is a current focus on failure as a driver of innovation and development in many professional fields. It is also emerging from prior research that for STEM professionals and educators, failure plays an important role in designing and making to increase learning, persistence and other noncognitive skills such as self-efficacy and independence. By investigating how youth and educators attend to moments of failure, how they interpret what this means, and how they respond, we will be better able to understand the dynamics of each part of the experience. The research team will be working with youth from urban, suburban and rural settings, students from Title I schools or who qualify for free/reduced-price lunches, those from racial and ethnic minority groups, as well as students who are learning English as a second language. These youth are from groups traditionally underrepresented in STEM and in making, and research indicates they are more likely to experience negative outcomes when they experience failure.
The intellectual merit of this project centers on establishing a baseline understanding of how failure in making is triggered and experienced by youth, what role educators play in the process, and what can be done to increase persistence and learning, rather than failure being an end-state. The research team will investigate these issues through the use of qualitative and quantitative research methods. In particular, the team will design and evaluate the effectiveness of interventions on increasing the abilities of youth and educators in noticing and responding to failures and increasing positive (e.g., resilience) outcomes. Research sites are selected because they will allow collection of data on youth from a wide range of backgrounds. The research team will also work to test and revise their hypothesized model of the influence of factors on persistence through failures in making. This project is a part of NSF's Maker Dear Colleague Letter (DCL) portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering (CISE), Education and Human Resources (EHR) and Engineering (ENG).