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
Computer science education is rapidly being recognized as essential for all students to develop into successful citizens of the 21st century. A diverse group of stakeholders, including educators, business and industry, policymakers, and parents all agree on the importance of computer science. Significant workforce needs in particular are driving the push for computer science education. In comparison to all other U.S. job categories, computing is projected to have the largest percent growth between 2014 and 2024. And this projected growth may not even entirely capture the full number of
How can programs be exciting, innovative, and engaging when providers and youth do not have what they need? How can youth feel valued and respected when they are surrounded by worn-out and broken materials?
Out-of-school time (OST) youth programs are inherently difficult to assess. They are often very dynamic: Many youth interact with one another and with staff members in various physical environments. Despite the challenge, measuring quality is critical to help program directors and policy makers identify where to improve and how to support those improvements.
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TEAM MEMBERS:
Allison TracyLinda CharmaramanIneke CederAmanda RicherWendy Surr
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.
A skilled workforce is critical in high-quality out-of-school time (OST) programs (Smith, Devaney, Akiva & Sugar, 2009). However, the workshops commonly used to train OST staff are not adequately preparing practitioners to deliver quality programs that can benefit youth(Durlak & Weissberg, 2007; Smith et al, 2009).
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TEAM MEMBERS:
Femi VanceEmily SalvaterraJocelyn Atkins MichelsenCorey Newhouse
According to the Harvard Family Research Project (2010), schools need collaborative partners to help children and youth thrive. For over a decade, afterschool programs have been positioning themselves as viable partners. After all, afterschool programs challenge students’ thinking, teach collaboration, and help children and youth find their passion.
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
This Research in Service to Practice project, a collaboration of Pepperdine University and the New York Hall of Science, will establish a network of STEM-related Media Making Clubs comprised of after-school students aged 12 - 19 and teachers in the U.S. and in three other countries: Kenya, Namibia and Finland. The media produced by the students may include a range of formats such as videos, short subject films, games, computer programs and specialized applications like interactive books. The content of the media produced by the students will focus on the illustration and teaching of STEM topics, where the shared media is intended to help other students become enthused about and learn the science. This proposal builds on the principal investigator's previous work on localized media clubs by now creating an international network in which after-school students and teachers will collaborate at a distance with other clubs. The central research questions for the project pertain to three themes at the intersection of learning, culture and collaboration: the impact of participatory teaching, virtual networks, and intercultural, global competence. The research will combine qualitative, cross-cultural and big data methods. Critical to the innovation of the project, the research team will also develop a network assessment tool, adapting epistemic network analysis methods to the needs of this initiative. This work is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Eric HamiltonKatherine McMillanPriya Mohabir
This project by California State University San Marcos and their collaborators will expand and continue to innovate on a pilot Mobile Making program with the goal of developing a sustainable, regional model for serving underserved, middle-school aged youth in twelve after-school programs in the San Diego region. Evaluation of the current Mobile Making program has documented positive impacts on participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life, and led to a model for engaging underserved youth in Making. The work will focus on implementing the program model sustainably at greater capacity by increasing the number of undergraduate activity leaders, after-school sites, and level of community engagement. The expanded Mobile Making program is expected to engage ~1800 middle school youth at 12 local school sites, with activities facilitated by ~1020 undergraduate CSU-SM STEM majors. The sites are in ethnically diverse and economically disadvantaged neighborhoods, with as many as 90% of students at some sites qualifying for free or reduced price lunch. The undergraduate facilitators are drawn from CSU-SM's diverse student body, which includes 44% underrepresented minorities. Outcomes are expected to include increases in the youth participants' interest, self-efficacy, and perception of the relevance of Making/STEM in everyday life. Positive impacts on the undergraduate facilitators will include broadened technical skills, increased leadership and 21st century skills, and increased lifelong interest in STEM outreach/informal science education. The program is designed to achieve sustainability through innovative means such as involving undergraduate facilitators via Community Service Learning (rather than paid positions), and increased community engagement via development and support of a community of practice including local after-school providers, teachers, Makers, and University members. Evaluation of the program outcomes and lessons learned are expected to result in a comprehensive model for a sustainable, university-based after-school Making program with regional impact in underserved communities. Dissemination to other regions will be leveraged via CSU-SM's membership in the California State University (CSU) system, yielding a potential statewide impact. The support of the CSU Chancellor's Office and input from a CSU implementation group will ensure the applicability of the model to other regional university settings, identify common structural barriers and solutions, and increase the probability of secondary implementations. This work is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.