This project will coordinate and focus existing educational elements with the common goal of increasing the participation of underrepresented minorities in STEM degree programs and the STEM workforce. This goal will help the US maintain its leadership in science and engineering innovation while supporting the expansion of the talent pool needed to fuel economic growth in technical areas. The program will feature an assessment system that addresses both social influence factors and the transfer of STEM skills with the aim of identifying the reasons that underrepresented minorities leave the STEM pipeline. By including both curricular and extracurricular elements of the STEM pipeline, ranging from middle school through college, the program will be able to respond quickly to findings from the assessment component and take proactive steps to retain STEM students and maintain their self perception as future scientists or engineers.
The program proposes to assess, unite and coordinate elements in the New Mexico STEM pipeline with the ultimate goal of increasing the participation of underrepresented groups in the STEM workforce. The need to grow a diverse science, technology, engineering and mathematics (STEM) workforce is recognized throughout the State of New Mexico, and beyond, by both the public and private sectors. The project develops a crosscutting assessment system that addresses both social influence factors and the skills component of STEM education. The project develops a collective impact framework aimed at increasing the participation of underrepresented minorities in the STEM workforce and implements a common assessment system for students in the 6-20+ STEM pipeline. This assessment system will address both social influence factors and the transfer of STEM related skills with the aim of building a research base to investigate why students from underrepresented minorities leave the STEM pipeline. The output from this research will drive the development of a set of best practices for increasing retention and a scheme for improving the integration of minority students into the STEM community. The retention model developed as part of the program will be shared with the STEM partners through a series of workshops with the goal of developing a more coordinated approach to the retention of underrepresented minorities. The program focuses on a small set of STEM programs with existing connections to the College of Engineering.
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TEAM MEMBERS:
Steven StochajPatricia SullivanLuis Vazquez
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 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
Young adulthood, typically defined as between the ages of 18 and 25, is a critical period of growth during which young people acquire the education and training that serve as the basis for their later occupations and income (Arnett, 2000). The successful transition from adolescence to early adulthood requires youth to have the skills and resources to graduate high school and then go to college or enter the workforce (Fuligni & Hardway, 2004; Lippman, Atienza, Rivers, & Keith, 2008). To accomplish these tasks in advanced urban societies, young adults need a wide range of social, cognitive
Pipeline for Remote Sensing Education and Application (PRSEA), will increase awareness, knowledge and understanding of remote sensing technologies and associated disciplines, and their relevance to NASA, through a combination of activities that build a “pipeline” to STEM and remote sensing careers, for a continuum of audiences from third grade through adulthood. This program will be led by Pacific Science Center. The first objective is to engage 50 teens from groups underrepresented in STEM fields in a four-year career ladder program; participants will increase knowledge and understanding of remote sensing as well as educational pathways that lead to careers in remote sensing fields at NASA and other relevant organizations. The second objective is to serve 2,000 children in grades 3-5, in a remote sensing-based out-of school time outreach program that will increase the participant’s content knowledge of remote sensing concepts and applications and awareness and interest in remote sensing disciplines. PRSEA’s third objective is to engage 180 youth, grades 6-8, in remote sensing-themed summer intensive programs through which youth will increase knowledge of remote sensing concepts and applications and increase awareness and interest in educational and career pathways associated with remote sensing and NASA’s role in this field. The final objective is to engage 10,000 visitors of all ages with a remote sensing-themed Discovery Cart on Pacific Science Center’s exhibit floor. By engaging in cart activities, we anticipate visitors will increase their level of awareness and interest in the topic of remote sensing and NASA’s role in contributing to this field.
Exoplanets Exploration is an interactive exhibition to explore exoplanets for the primary audience of students grades 5th through 12th with a secondary audience of younger children and adults. The exhibition is located in the astronomy wing of the Boonshoft Museum of Discovery (Dayton, Ohio). The project goals are to provide a STEM base for visitors from which to explore exoplanet discoveries; for them to have a basic understanding of exoplanet missions, instruments used in the discoveries, and the science knowledge necessary to understand the discoveries; to learn about the exoplanet discoveries through hands-on tactile, auditory, visual, and kinesthetic interactive exhibition components; and to challenge visitors to contemplate the possibility of life elsewhere in the universe. Aspects of the exhibition are integrated into space-related programming by linking to school visits, Distance Learning programs, summer Discovery Camps, FIRST LEGO league, and homeschool programming. Components of the exhibition addresse relevant Ohio Academic Content Standards for Earth and Space Science and will evolve to incorporate new Next Generation Science Standards. With the STEM career information presented along with scientific learning, students will be able to visualize the possibilities that NASA and space science represents.