The purpose of this paper is to explore results from a qualitative study of how high school aged BLV youth used spatial language during a virtual engineering experience administered by the National Federation of the Blind (NFB). Findings from this study can provide recommendations to enhance language in curricula that better reflects BLV students' content and may ultimately encourage more BLV students to pursue careers in STEM fields.
DATE:
TEAM MEMBERS:
Gary TimkoNatalie ShaheenWade GoodridgeTheresa GreenDaniel Kane
As new technologies continue to dominate the world, access to and participation in science, technology, engineering, mathematics (STEM), and computing has become a critical focus of education research, practice, and policy. This issue is exceptionally relevant for American Indians, who remain underrepresented as only 0.2% of the STEM workforce, even though they make up 2% of the U.S. population. In response to this need, this Faculty Early Career Development Program (CAREER) project takes a community-driven design approach, a collaborative design process in which Indigenous partners maintain sovereignty as designers, to collaboratively create three place-based storytelling experiences, stories told in historical and cultural places through location-based media. The place-based storytelling experiences will be digital installations at three culturally, politically, and historically significant sites in the local community where the public can engage with Indigenous science. The work is being done in partnership with the Northwestern Band of the Shoshone Nation (NWBSN).
The principal investigator and the NWBSN will investigate: (a) what are effective strategies and processes to conduct community-driven design with Indigenous partners?; (b) how does designing place-based storytelling experiences develop tribal members' design, technical, and computational skills?; (c) how does designing these experiences impact tribal members' scientific, technological, and cultural identities? The goals are to establish a process of community-driven design, build infrastructure to support this process, and understand how this methodological approach can result in culturally-appropriate ways to engage with science through technology. The principal investigator will work with the tribe to complete three intergenerational design cycles (a design cycle is made up of multiple design iterations). Each design cycle will result in one place-based storytelling experience. The goal is to include roughly 15 youth (ages 6-18), 10 Elders, and 10 other community members (i.e. members ages 18-50, likely parents) in each design cycle (35 tribal members total). Some designers are likely to participate in multiple design cycles. The tribe currently has 48 youth ages 6-18 and the project aims to engage at least 30 across all three design cycles. Over four years of designing three different experiences, the NWBSN aims to recruit at least 100 tribal members (just under 20% of the tribe) to make contributions (as designers, storytellers, or to provide cultural artifacts or design feedback).
This CAREER award 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. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences.
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.
AHA! Island is a new project that uses animation, live-action videos, and hands-on activities to support joint engagement of children and caregivers around computational thinking concepts and practices. This research is intended to examine the extent to which the prototyped media and activity sets support the project’s learning goals. Education Development Center (EDC), WGBH’s research partner for the project, conducted a small formative study with 16 English-speaking families (children and their caregivers) to test out these media and activity set prototypes. During the in-person video
This poster was created for the Advancing Informal STEM Learning (AISL) program Primary Investigator (PI) meeting. The research presented here is a summary of the various informal STEM learning opportunities offered as part of the collaboration between university researchers and museum practionners. We were interested in how museums can advance parent-child engagment in STEM-rich tinkering and reflection. The participants were able to take part of a few different activities that allowed for informal reflection and tinkering at the Tinkering Lab, a musuem exhibit that invites families to take
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its afterschool program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering afterschool programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the implementation
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its afterschool program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering afterschool programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the implementation
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
Techbridge Girls’ mission is to help girls discover a passion for science, engineering, and technology (SET). In August 2013, Techbridge Girls was awarded a five-year National Science Foundation grant to scale up its after-school program from the San Francisco Bay Area to multiple new locations around the United States. Techbridge Girls began offering after-school programming at elementary and middle schools in Greater Seattle in 2014, and in Washington, DC in 2015.
Education Development Center is conducting the formative and summative evaluation of the project. To assess the
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 project will capitalize on the power of story to teach foundational computational thinking (CT) concepts through the creation of animated and live-action videos, paired with joint media engagement activities, for preschool children and their parents. Exposure at a young age to CT is critical for preparing all students to engage with the technologies that have become central to nearly every occupation. But despite this recognized need, there are few, if any, resources that (1) introduce CT to young children; (2) define the scope of what should be taught; and (3) provide evidence-based research on effective strategies for bringing CT to a preschool audience. To meet these needs, WGBH and Education Development Center/Center for Children and Technology (EDC/CCT) will utilize an iterative research and design process to create animated and live-action videos paired with joint media engagement activities for parents and preschool children, titled "Monkeying Around". Animated videos will model for children how to direct their curiosity into a focused exploration of the problem-solving process. Live-action videos will feature real kids and their parents and will further illustrate how helpful CT can be for problem solving. With their distinctive visual humor and captivating storytelling, the videos will be designed to entice parents to watch alongside their children. This is important since parents will play an important role in guiding them in explorations that support their CT learning. To further promote joint media engagement, hands-on activities will accompany the videos. Following the creation of these resources, an experimental impact study will be conducted to capture evidence as to if and how these resources encourage the development of young children's computational thinking, and to assess parents' comfort and interest in the subject. Concurrent with this design-based research process, the project will build on the infrastructure of state systems of early education and care (which have been awarded Race to the Top grants) and local public television stations to design and develop an outreach initiative to reach parents. Additional partners--National Center for Women & Information Technology, Code in Schools, and code.org (all of whom are all dedicated to promoting CT)--will further help bring this work to a national audience.
Can parent/child engagement with digital media and hands-on activities improve children's early learning of computational thinking? To answer this question, WGBH and EDC/CCT are collaborating on a design-based research process with children and their parents to create Monkeying Around successive interactions. The overarching goal of this mixed-methods research effort is to generate evidence that supports the development of recommendations around the curricular, instructional, and contextual factors that support or impede children's acquisition of CT as a result of digital media viewing and hands-on engagement. Moving through cycles of implementation, observation, analysis, and revision over the course of three years, EDC/CCT researchers will work closely with families and WGBH's development team to determine how children learn the fundamentals of CT, how certain learning tasks can demonstrate what children understand, how to stimulate interest in hands-on activities, and the necessary scaffolds to support parental involvement in the development of children's CT. Each phase of the research will provide rich feedback to inform the next cycle of content development and will include: Phase 1: the formulation of three learning blueprints (for algorithmic thinking, sequencing, and patterns); Phase 2: the development of a cohesive set of learning tasks to provide evidence of student learning, as well as the production of a prototype of the digital media and parent/child engagement resources (algorithmic thinking); Phase 3-Part A: pilot research on the prototype, revisions, production of two additional prototypes (sequencing and patterns); Phase 3-Part B: pilot research on the three prototypes and revisions; and Phase 4: production of 27 animated and live-action videos and 18 parent/child engagement activities and a study of their impact. Through this process, the project team will build broader knowledge about how to design developmentally appropriate resources promoting CT for preschool children and will generate data on how to stimulate interest in hands-on activities and the necessary scaffolds to support parental involvement in the development of children's CT. The entire project represents an enormous opportunity for WGBH and for the informal STEM media field to learn more about how media can facilitate informal CT learning in the preschool years and ways to broaden participation by building parents' capacity to support STEM learning. This project 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. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.