The Morgan State University INCLUDES project will build on an existing regional partnership of four Historically Black Colleges and Universities that are working together to improve STEM outcomes for middle school minority male students that are local to Morgan State in Baltimore, North Carolina A&T in Greensboro, Jackson State in Mississippi, and Kentucky State in Frankfort. Additional partners include SRI International, the National CARES Mentoring Network, and the Verizon Foundation. Using the collective impact-style approaches such as planning and implementing a Network Improvement Community (NIC), developing a shared agenda and implementing mutually reinforcing activities, these partners will address two common goals: (1) Broaden the participation of underrepresented minority males in science and engineering through educational experiences that prepare them for careers in STEM fields; and (2) Create a Network Improvement Community focused on STEM achievement in minority males. Program elements include high-quality instruction in STEM content, mentoring, and professional development. The project will expand to include eight additional partners (six HBCUs and two Hispanic-Serving Institutions) and schools and districts in communities local to their campuses. The INCLUDES pilot will help scale innovations that target impacting minorities in STEM.
The project will develop STEM learning pathways for middle school minority males by harnessing the collective impact of 12 university partners, local K-12 schools and districts with which they partner, and surrounding community organizations and businesses with a vested interest in achieving common goals. Products will include a roadmap for addressing the problem through a Network Improvement Community, a website that will contribute to the knowledge base regarding effective strategies for enhancing STEM educational opportunities for minority males, and common metrics, assessments, and shared measurement systems that will be used to measure the collective impact of the Network Improvement Community.
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TEAM MEMBERS:
Jumoke Ladeji-OsiasCindy ZikerGeneva HaertelKamal AliAyanna GillDerrick GilmoreClay Gloster
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
The mixed methods randomized experimental study assessed a model of engagement and education that examined the contribution of SciGirls multimedia to fifth grade girls’ experience of citizen science. The treatment group (n = 49) experienced 2 hours of SciGirls videos and games at home followed by a 2.5 hour FrogWatch USA citizen science session. The control group (n = 49) experienced the citizen science session without prior exposure to SciGirls. Data from post surveys and interviews revealed that treatment girls, compared to control girls, demonstrated significantly greater interest in their
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.
Mathematics is a notoriously disliked subject; there is so little stigma associated with being "bad at math", that educated adults openly describe themselves in this way. There are many reasons for math's unpopularity; chief among them is that school mathematics seldom offers opportunities to engage with the richness of this potentially fascinating subject. As a result, the mathematics education pipeline in the United States is more often a filter than a pump, siphoning students out rather than bringing them along. Children have libraries to help them fall in love with literature: where do they get a chance to fall in love with math? This project presents a unique opportunity to study children engaged with mathematics in an informal setting, the Minnesota State Fair, facilitated by mathematically knowledgeable volunteers. The Math On-a-Stick mathematical playground provides a place for children to engage with mathematics by exploring patters, asking quantitative questions, and investigating shape and space to mathematize their play. The project will observe and videotape this engagement to inform the design of mathematical learning environments in a variety of outside of school time settings, such as after school programs and summer camps, that are accessible to a wider range of the population. This project is co-funded by the EHR Core Research (ECR) and Advancing Informal STEM Learning (AISL) programs. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in three thematic areas: STEM learning and learning environments, broadening participation, and STEM workforce development. The AISL program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The project will investigate three research questions: (1) How does the design of various parts of the exhibit differently support rich mathematical interactions between children and mathematicians? (2) How do children engage different parts of the exhibit? How do differences in engagement relate to (a) exhibit design and (b) prior mathematical experience? (3) How do exhibit volunteers, mathematicians, and caregivers interact to support (or undermine) students' mathematical play? The project will use participant observation and videography to capture visitors' activities through the exhibit, analyzing them as qualitative case studies.
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