The Bay Area Regional Collaboration to Expand and Strengthen STEM (RECESS) is a regional, unified STEM continuum effort from preschool through graduate school and career. RECESS is based on successful collective impact efforts in other fields and employs a participatory action research (PAR) approach to broaden participation in STEM. In the PAR framework, youth and their families will help to define the issues and develop expertise about community needs through a shared research process.
RECESS introduces participatory action research as an innovative element to the collective impact social agency framework. The intent is to determine the extent to which the engagement and involvement of the students and communities targeted can effectively shape the function of the collective impact network of organizations.
During the two year planning phase, RECESS (a) conducts a comprehensive needs assessment and gap analysis; (b) establishes a functioning organization of stakeholders with a common agenda and governance model; and (c) develops a detailed action plan. It is a significant contribution to the body of knowledge on effective and innovative collective impact structures designed to promote STEM education and participation.
The Colleges of Science & Engineering and Graduate Education, and the Metro Academies College Success Program (Metro) at San Francisco State University in partnership with San Francisco Unified School District and the San Francisco Chamber of Commerce develop an integrated approach for computing education that overcomes obstacles hampering broader participation in the U.S. science, technology, engineering and mathematics (STEM) workforce. The partnership fosters a more diverse and computing-proficient STEM workforce by establishing an inclusive education approach in computer science (CS), information technology, and computer engineering that keeps students at all levels engaged and successful in computing and graduates them STEM career-ready.
Utilizing the collective impact framework maximizes the efficacy of existing regional organizations to broaden participation of groups under-educated in computing. The collective impact model establishes a rich context for organizational engagement in inclusive teaching and learning of CS. The combination of the collective impact model of social agency and direct engagements with communities yields unique insights into the views and experiences of the target population of students and serves as a platform for national scalable networks.
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TEAM MEMBERS:
Keith BowmanIlmi YoonLarry HorvathEric HsuJames Ryan
Public libraries are becoming an important place for informal science, technology, engineering and mathematics (STEM) education for K-12 students and their families, as well as for adult education activities that support STEM workforce development. This report provides public librarians, administrators and collaborating organizations a brief background on the role that libraries can play in fostering a healthy STEM education ecosystem, as well as promising practices for implementing effective STEM programs in public libraries.
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TEAM MEMBERS:
Annette ShtivelbandLauren RiendeauAmanda Wallander-RobertsRobert Jakubowski
Science, technology, engineering, and mathematics (STEM) education and programming has become a priority in our nation. In the United States, the STEM pipeline is considered "leaky" as many students disengage from STEM at various points during their lives. In particular, women, Latinos, and African Americans are more likely to disengage from the STEM pipeline. American students are less likely to earn STEM postsecondary and graduate degrees compared to other nations. As careers in STEM fields are expected to increase at a faster rate than other occupations, there is growing concern about the
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TEAM MEMBERS:
Annette ShtivelbandAmanda Wallander RobertsRobert Jakubowski
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?
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.
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TEAM MEMBERS:
Kenneth AnthonyJoseph Morra
resourceprojectProfessional Development, Conferences, and Networks
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This conference proposal represents the first phase of a larger three-phase participatory research project that will use communities of interest as a vehicle for solving problems of common concern about designing youth-based STEM programs. It will set the stage for research over the next 10-25 years about the long-term impact of a variety of youth programs on STEM learning and career aspirations. Through a virtual format, the Association of Science-Technology Centers will bring together two representatives from ten long-standing youth programs, experts in the field of out-of-school time youth programming, and researchers to collaboratively develop a program profile template for measuring the impact of youth programming. The program profile template will help identify specific characteristics that will capture the influence of youth programs on their participation in out-of-school STEM activities.
The program profile template will be the main outcome from the conference. It will serve as the foundation for designing long-term impact studies that support the needs of program staff interested in improving youth programming in informal environments. It will also allow program staff and researchers to document and share intellectual capital, compare goals and features across programs, and support network efforts among informal agencies worldwide. The program profile template will be shared online through informalscience.org, the Association of Science-Technology Centers' communities of practice networks, and through other out-of-school-time national organizations.
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.