Structural inequities contribute to the disproportionate incarceration of Black and African American women, as well as women from the working class. This project will work toward redressing these inequities through developing and researching an ecosystem designed to support formerly incarcerated women's transition into careers that require technology-based skills or computational thinking.
The pilot and feasibility study will develop instructional workshops for an adult population of quilters to introduce them to computational thinking. By leveraging pre-existing social structures, skill sets, and engagement in quilting, the researchers hope to help participants develop computer science and computational thinking knowledge and skills.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
In partnership with the Digital NEST, students engage in near to peer learning with a technical tool for the benefit of a nonprofit that tackles issues the youth are passionate about. Youth build first from an 'internal’ Impactathon, to planning and developing an additional Impactathon for a local partner and then traveling to another partner elsewhere in the state. Participants range from 14 to 24 from UC Santa Cruz students to middle schoolers from Watsonville and Salinas.
This poster was presented at the 2019 AISL Principal Investigators Meeting.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. This Pilots and Feasibility Studies project will design and study computer science education programs in three New York State prisons and cutting-edge computer science learning spaces in New York City and Bennington, VT for recently released men and women. These two sites of investment will be designed and operated with the goals of bridging informal STEM education inside the
This pilot study will examine the effectiveness of an innovative applied social change, community and technology based program on marginalized youths' access, interest, efficacy and motivation to learn and engage in digital technology applications. Using stratified near-peer and peer-to-peer mentoring approaches, the pilot builds on extant literature that indicates that peer-supported hands-on mentoring and experiences can alleviate some barriers to youth engagement in digital technologies, particularly among underrepresented groups. In this project, undergraduate students will mentor and work collaboratively with high school youth primarily of Hispanic descent and community-based organizations to develop creative technology-based solutions to address social issues and challenges within their local communities, culminating in events called Impactathons. These community-hosted local and state-wide events set this pilot project apart from similar work in the field. The Impactathons not only provide a space for intellectual discourse and problem-solving among the undergraduate-youth-community partners but the Impactathons will also codify expertise from scientists, social scientists, technologists, community leaders, and other stakeholders to develop technology-based solutions with real world application. If successful, a distal outcome will be increased youth interest in digital technologies and related fields. In the short term, favorable findings will provide preliminary evidence of success and lay the foundation for a more extensive study in the future.
This pilot project is a collaboration between the Everett Program, a student-led program for Technology and Social Change at the University of California Santa Cruz - a Hispanic Serving Institution - and the Digital NEST, a non-profit, high-tech youth career development and collaboration space for young people ages 14-24. Through this partnership and other recruitment efforts, an estimated 70-90 individuals will participate in the Impactathon pilot program over two years. Nearly two-thirds of the participants are expected to be undergraduate students. They will receive extensive training in near-peer and peer-to-peer mentoring and serve as mentors for and co-innovation developers with the high school youth participants. The undergraduates and youth will partner with local community organizations to identify a local social challenge that can be addressed through a technology-based solution. The emergent challenges will vary and could span the spectrum of STEM and applied social science topics of interest. Working in informal contexts (i.e., afterschool. weekend), the undergraduate-youth-community partner teams will work collaboratively to develop practical technology-based solutions to real world challenges. The teams will convene three times per year, locally and statewide, at student and community led Impactathons to share their work and glean insights from other teams to refine their innovations. In parallel, the research team will examine the effectiveness of the Impactathon model in increasing the undergraduate and youths' interest, motivation, excitement, engagement and learning of digital technologies. In addition to the research, the formative and summative evaluations should provide valuable insights on the effectiveness of the model and its potential for expansion and replication.
The project is co-funded by the Advancing Informal STEM Learning (AISL) Program and STEM +C. The AISL program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. STEM + C focuses on research and development of interdisciplinary and transdisciplinary approaches to the integration of computing within STEM teaching and learning for preK-12 students in both formal and informal settings.
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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. This Pilots and Feasibility Studies project will design and study computer science education programs in three New York State prisons and cutting-edge computer science learning spaces in New York City and Bennington, VT for recently released men and women. These two sites of investment will be designed and operated with the goals of bridging informal STEM education inside the prison and post-release. The project aims to help incarcerated and formerly incarcerated men and women gain hands-on experience and technical fluency in computer science. The project will also help people build effective pathways that link training and informal learning communities in prison to professional and educational success after prison.
The research will examine how informal STEM learning can 1) provide incarcerated and post-incarceration populations more effective pathways into computer science and technology professions, and 2) help revitalize neighborhoods struggling with high rates of incarceration and high rates of adults under correctional supervision. Results will be shared among the STEM learning community and prison educators through existing networks, scholarly and journalistic publications, and conferences. As a pilot program, this project aims to develop a comprehensive, rigorous, and transferable model that may be used as a resource in other prison education programs as well as in rural and urban communities across the United States seeking to address economic and educational inequalities of post-incarceration life.
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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. The pilot and feasibility study will develop instructional workshops for an adult population of quilters to introduce them to computational thinking. By leveraging pre-existing social structures, skill sets, and engagement in quilting, the researchers hope to help participants develop computer science and computational thinking knowledge and skills. The long-term goal is to broaden public awareness of computational thinking and build links between computer science and other areas of interest. By leveraging the social structure and existing skills held by practicing quilters, the workshops have the potential to reach an audience of millions of quilters around the nation and worldwide, the majority of whom are adult women. The research will be developed and tested with two groups: the Orlando Modern Quilt Guild in Orlando, FL, and an informally gathered quilting class in the Worcester, MA area. Outcomes for the project include workshop materials that can be used in a variety of quilting group contexts nationwide, a deeper understanding of the processes and mechanisms for adult computer science education through crafts, and evaluation of the pilot workshop focused on the impact on participants' engagement, self-identity, and learning for computational thinking. The research especially focuses on leveraging pre-existing knowledge, interests, and social structures to draw connections to computational thinking, and studying how this impacts participants' self-described identity, attitude, and engagement with computer science. The project also assesses a novel method for teaching computational thinking that has potential for broad applicability in a variety of social and creative hobbies. Participants will use and modify generative design software that creates quilt designs and, in doing so, learn how creative interests can be expanded through computer science. By focusing on the hobby of quilting, which is not typically associated with computer science, the knowledge built through designing and evaluating the research offers strategies for altering public perception of computer science. 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.
The University of California, Irvine will lead this Design and Development Launch Pilot to engage with collaborators from the Orange County CA STEM Initiative, the Orange County CA Department of Education, the Orange County CA Workforce Investment Board, the Jamboree Affordable Housing Communities, the Orangewood Foundation for Foster and Community Youth Services, OCTANE-Technology Incubator, Project Tomorrow and Growth Section. This project was created in response to the Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES) program solicitation (NSF 16-544). The INCLUDES program is a comprehensive national initiative designed to enhance U.S. leadership in science, technology, engineering and mathematics (STEM) discoveries and innovations focused on NSF's commitment to diversity, inclusion, and broadening participation in these fields. The INCLUDES Design and Development Launch Pilots represent bold, innovative ways for solving a broadening participation challenge in STEM.
The full participation of all of America's STEM talent is critical to the advancement of science and engineering for national security, health and prosperity. Our nation is advancing knowledge and practices to address the computing technology education practices for recruiting, better educating, retaining and graduating a productive STEM workforce. However women who are members of underrepresented minority groups, with low socioeconomic status, historically underperform in STEM and specifically in computing technology. This project, NSF INCLUDES: Supporting Women Advancing Through Technology, has the potential to significantly advance a collaborative approach by a group of organizations to improve the success of poor, underrepresented minority women who are learning computing technology and transitioning to the STEM workforce.
The project will demonstrate the outcomes of computer science training for women, particular disenfranchised and underrepresented minority women that may be exiting foster youth services, living in low income housing, and/or having been denied access to programs particularly in technology due to their socioeconomic status. Partnering organizations will design, develop and launch a short-term, intensive training opportunity in computer science for women ages 16 to 34 who are unemployed or underemployed, and who desire to engage in upward career mobility. The program will include a replicable, custom curriculum and an educational approach that will be scalable. A boot camp will teach the fundamentals of Ruby on Rails, HTML, CSS, SQL, JavaScript, and AngularJS, and prepare participants for a career in web development while enabling them to keep their day jobs and have childcare provided. Educating a randomized sample treatment group of up to 150 women in this launch pilot, the partners will also offer internships and/or job shadows, where participants gain client experience, learn from more experienced developers, and continue to build their portfolios. All of the women in the program will receive information, coaching and exposure to college and career opportunities. Job placement in STEM careers is the outcome goal of this design and development launch pilot.
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.
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The