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
DATE:
TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
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 is a Science Learning+ planning project that will develop a plan for how to conduct a longitudinal study using existing data sources that can link participation in science-focused programming in out-of-school settings with long-range outcomes. The data for this project will ultimately come from "mining" existing data sets routinely collected by out-of-school programs in both the US and UK. 4H is the initial out-of-school provider that will participate in the project, but the project will ideally expand to include other youth-based programs, such as Girls Inc. and YMCA. During the planning grant period, the project will develop a plan for a longitudinal research study by examining informal science-related factors and outcomes including: (a) range of educational outcomes, (b) diversity and structure of learning activities, (c) links to formal education experiences and achievement measures, and (d) structure of existing informal science program data collection infrastructure. The planning period will not involve actual mining of existing data sets, but will explore the logistics regarding data collection across different informal science program, including potential metadata sets and instruments that will: (a) identify and examine data collection challenges, (b) explore the implementation of a common data management system, (c) identify informal science programs that are potential candidates for this study, (d) compare and contrast data available from the different programs and groups, and (e) optimize database management.
The "Mentored Youth Building Employable Skills in Technology (MyBEST)" project, a collaboration of the Youth Science Center (YSC) and Learning Technology Center (LTC) at the Science Museum of Minnesota, is a three-year, youth-based proposal that seeks to engage 200 inner-city youngsters in learning experiences involving information and design technologies. The goal of the project is to develop participants' IT fluency coupled with work- and academic-related skills. The program will serve students in grades 7 through 12 with special emphasis on three underrepresented groups: girls, youngsters of color, and the economically disadvantaged. Project participants will receive 130 contact hours and 70% will receive at least 160 hours. Each project year, including summers, students participate in three seasons consisting of five two-week cycles. Project activities will center on an annual technology theme: design, engineering and invention; social and environmental systems; and networks and communication. The activities that constitute project seasons include guest presenter workshops; open labs facilitated by guest presenters, mentors and adult staff; presentations of student projects; career workshops and field trips. The project cycles feature programming (e.g., Logo computer language; Cricketalk), engineering and multi-media production (e.g., digital video; non-linear editing software). Each cycle will interface with an existing museum-related program (e.g., the NSF-funded traveling Cyborg exhibit). Mentors will work alongside participants in all technology-based activities. These mentors will be recruited from university, business, community partners and participant families. Leadership development is addressed through teamwork and in the form of internships and externships. Participants obtain work experience related to technology in the internship and externship component. The "MyBEST" project will serve as a prototype for the Museum to test the introduction of technology as central to the design and learning outcomes of its youth-based programs. An advisory board reflecting expertise in youth development, technology and informal science education will guide the program's development and plans for sustainability. Core elements of the "MyBEST" program will be integrated into the Museum's youth-based projects sponsored by the YSC and LTC departments. The Museum has a strong record of integrating prototype initiatives into long-standing programs.
This project supports the development of technological fluency and understanding of STEM concepts through the implementation of design collaboratives that use eCrafting Collabs as the medium within which to work with middle and high school students, parents and the community. The researchers from the University of Pennsylvania and the Franklin Institute combine expertise in learning sciences, digital media design, computer science and informal science education to examine how youth at ages 10-16 and families in schools, clubs, museums and community groups learn together how to create e-textile artifacts that incorporate embedded computers, sensors and actuators. The project investigates the feasibility of implementing these collaboratives using eCrafting via three models of participation, individual, structured group and cross-generational community groups. They are designing a portal through which the collaborative can engage in critique and sharing of their designs as part of their efforts to build a model process by which scientific and engineered product design and analysis can be made available to multiple audiences. The project engages participants through middle and high school elective classes and through the workshops conducted by a number of different organizations including the Franklin Institute, Techgirlz, the Hacktory and schools in Philadelphia. Participants can engage in the eCrafting Collabs through individual, collective and community design challenges that are established by the project. Participants learn about e-textile design and about circuitry and programming using either ModKit or the text-based Arduino. The designs are shared through the eCrafting Collab portal and participants are required to provide feedback and critique. Researchers are collecting data on learner identity in relation to STEM and computing, individual and collective participation in design and student understanding of circuitry and programming. The project is an example of a scalable intervention to engage students, families and communities in developing technological flexibility. This research and development project provides a resource that engages students in middle and high schools in technology rich collaborative environments that are alternatives to other sorts of science fairs and robotic competitions. The resources developed during the project will inform how such an informal/formal blend of student engagement might be scaled to expand the experiences of populations of underserved groups, including girls. The study is conducting an examination of the new types of learning activities that are multiplying across the country with a special focus on cross-generational learning.
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
Governmental and institutional policy making in a number of countries has embedded public engagement strategies as a primary channel to connect citizens with scientific and technological innovation. Robotics is emerging as a key site for such new technological activity and its applications are likely to be increasingly notable in our lives in coming years. Robotics researchers are investing considerable time and effort in “engaging” publics. Concentrating on the findings of 24 qualitative interviews with those actively organizing or engaging publics, across 11 public engagement activities
DATE:
TEAM MEMBERS:
Clare WilkinsonKaren Bultitudeemily dawson
Community technology centers (CTCs) help bridge the digital divide for immigrant youth in disadvantaged neighborhoods. A study of six CTCs in California shows that these centers also promote positive youth development for young people who are challenged to straddle two cultures.
DATE:
TEAM MEMBERS:
Rebecca LondonManuel PastorRachel Rosner
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
DATE:
TEAM MEMBERS:
University of California, IrvineMizuko Ito
Project LIFTOFF works with local, regional, and national partners to engineer statewide systems for Informal Science Education that inspire: YOUTH to pursue STEM education and careers through increased opportunities for quality, hands-on STEM learning. AFTERSCHOOL STAFF to facilitate STEM learning experiences that contribute to the overall STEM education and aspirations of youth in their programs. PROGRAM ADMINISTRATORS to encourage and support staff in the integration of STEM enrichment into the daily programming. STATE LEADERS to sustain and expand afterschool learning opportunities so that all students have access to engaging STEM experiences outside of the regular school day. Project LIFTOFF is dedicated to the development of the following essential elements of statewide systems for informal science education:
Access to appropriate STEM Curriculum for youth of all ages, abilities, and socio-cultural backgrounds that meets the needs and interests of individual community programs
Systematic STEM Professional Development that matches individual skills in positive youth development with abilities to facilitate discovery and science learning
A diverse Cadres of Trainers who will deliver the professional development, technical assistance and curriculum dissemination in their local communities
Authentic Evaluation of informal science efforts that determine the impacts on youth aspirations and the capacity of youth programs to provide quality STEM experiences
Local STEM education leadership to identify the ways in which collaborative education efforts can advance the development of 21st Century Skills and the preparedness for STEM workforce and higher education
Partnerships in support of youth development and informal science education that convene local, regional, and statewide organizations and stakeholders
To advance national initiatives and states' sySTEM engineering efforts, LIFTOFF coordinates an annual convening, the Midwest Afterschool Science Academy, that brings together national informal science experts, system leaders and youth development professionals to elevate the levels of science after school. The 5th MASA will be in the spring of 2014 in Kansas City, MO
DATE:
TEAM MEMBERS:
Missouri AfterSchool NetworkJeff Buehler
Educators from K-12 and higher education are collaborating on a new school of the future projects involving humanoid robots and other forms of robots and student and teacher productivity tools. We are working in the areas of STEAM Plus. (science, technology, engineering, visual and performing arts, mathematics, computer languages and foreign languages) All team members will share their action research results through a traveling exhibition to all twelve public libraries in the city of Long Beach, California. Kids Talk Radio through its Backpack Science, Journalism, and Backpack Robotics programs will create video and audio podcasts of the action research and share findings over the Internet with schools, libraries and museums around the world.
DATE:
-
TEAM MEMBERS:
Super School SoftwareBob BarbozaWalter Martinez