Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
The “Fourth Industrial Revolution” is transforming the world of work. Just as it happened with the technologies of the steam, electricity and computer revolutions, digital technologies are now becoming pervasive and reshaping all parts of the global economy. The computing industry’s rate of job creation in the U.S. is now three times the U.S. national average. This rapid expansion of the computing workforce means that computing skills – with coding at the core – are the most sought-after skills in the American job market.
Yet amid this boom, research by Accenture and Girls Who Code shows
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.
"Local Investigations of Natural Science (LIONS)" engages grade 5-8 students from University City schools, Missouri in structured out-of-school programs that provide depth and context for their regular classroom studies. The programs are led by district teachers. A balanced set of investigations engage students in environmental research, computer modeling, and advanced applications of mathematics. Throughout, the artificial boundary between classroom and community is bridged as students use the community for their studies and resources from local organizations are brought into school. Through these projects, students build interest and awareness of STEM-related career opportunities and the academic preparation needed for success.
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TEAM MEMBERS:
Robert CoulterEric KlopferJere Confrey
The purposes of the STUDIO 3D evaluation were to collect information about the impact upon student learning as a result of participating in the STUDIO 3D Project, as well as to elicit information for program improvement. Areas of inquiry include recruiting and retention, impact on project participants, tracking student impacts, and the project as a whole.
This poster provides an overview, program goals, evaluation plan, and research questions for the AISL project, Techbridge Broad Implementation: An Innovative Model to Inspire Girls in STEM Careers. The poster was presented at the 2014 AISL PI Meeting.
The concern with a "digital divide" has been transformed from one defined by technological access to technological prowess--employing technologies for more empowered and generative uses such as learning and innovation. Participation in technological fluency-building activities among high school students in a community heavily involved in the technology industry was investigated in a study of 98 high school seniors enrolled in AP-level calculus. Findings indicated substantial variability in history of fluency-building experiences despite similar levels of access. More and less experienced
FUSE is a new kind of interest-driven learning experience being developed by researchers at Northwestern University with the goal of engaging pre-teens and teens in science, technology, engineering, arts/design, and mathematics (STEAM) topics while fostering the development of important 21st century skills including adaptive problem solving, creativity, self-directed learning, persistence, and grit. FUSE is now offered in-school, after-school, and on the weekends at 23 different locations in the greater Chicago area. Through FUSE, teens can "hang out, mess around and geek out" with the FUSE set of challenges, the core activities in our Studios. Each challenge uses a leveling up model from gaming and is carefully designed to engage teens in different STEAM topics and skills sets. FUSE currently has 21 challenges in areas such as robotics, electronics, biotechnology, graphic design, Android app development, 3D printing and more. New challenges are always in development. FUSE Challenges can be tackled individually or in groups. Professional scientists, engineers, advanced undergraduates, and graduate students are available as mentors and provide a real-world connection to the concepts learned and practiced through the challenges. All challenges result in digital media artifacts that are shared online for peer review, remixing, expert judging, and collaboration. We designed the FUSE program to appeal to the interests of all young people, especially those youth who are not interested in or don't think of themselves as "good at" math and science in school. FUSE challenges provide a new way to explore science, technology, engineering, arts and design, and math in a fun and relaxed way. FUSE is based on many years of research in the learning sciences by faculty in School of Education and Social Policy at Northwestern University.
This report summarizes the results of a three-year ethnographic study, funded by the John D. and Catherine T. MacArthur Foundation, into how young people are living and learning with new media in varied settings—at home, in after school programs, and in online spaces. The authors present empirical data on new media in the lives of American youth in order to reflect upon the relationship between new media and learning.
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TEAM MEMBERS:
University of California, IrvineMizuko ItoBecky Herr-Stephenson
Conventional wisdom about young people's use of digital technology often equates generational identity with technology identity: today's teens seem constantly plugged in to video games, social networks sites, and text messaging. Yet there is little actual research that investigates the intricate dynamics of youth's social and recreational use of digital media. This book fills that gap, reporting on an ambitious three-year ethnographic investigation into how young people are living and learning with new media in varied settings—at home, in after school programs, and in online spaces. By
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University of California, IrvineMizuko Ito