Structural inequities contribute to the disproportionate incarceration of Black and African American women, as well as women from the working class. This project will work toward redressing these inequities through developing and researching an ecosystem designed to support formerly incarcerated women's transition into careers that require technology-based skills or computational thinking.
This project will teach foundational computational thinking (CT) concepts to preschoolers by creating a mobile app to guide families through sequenced sets of videos and hands-on activities, building on the popular PBS KIDS series Work It Out Wombats!
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TEAM MEMBERS:
Marisa WolskyJanna KookJessica Andrews
Artificial intelligence (AI) is in many of our everyday activities—from unlocking phones to running Internet searches to parking cars. Yet, most instruction on how AI works is only in computer science courses. The unique role that AI plays in making decisions that affect human lives heightens the need for education approaches that promote public AI literacy. Little research has been done to understand how we can best teach AI in informal learning spaces. This project will engage middle school age youth in learning abouts AI through interaction with museum exhibits in science and technology centers. The exhibits employ embodied interactions and creative making activities that involve textiles, music making, and interactive media. The research will build on three exhibit prototypes that teach about concepts including bias in data in machine learning, AI decision-making processes, and how AI represents knowledge. Female-identifying and Title 1 youth will be recruited as participants during the exhibit design iterations and testing. The 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
Researchers will explore two key research questions: 1) How can the design of interactive museum exhibits encourage interest development in and learning about AI among learners without a Computer Science background by using embodiment and creative making? and 2) How do embodied interaction and creative making mediate learning about AI in informal learning environments? The project will take a design-based research approach, iteratively building on existing exhibit prototypes and testing them in-situ with learners. Data sources and modes of analysis will include retrospective surveys to assess interest, content knowledge gain, creativity, learning talk analysis of audio recordings, and coding of embodied movements in video recordings. Learning talk analysis will identify instances of joint sensemaking during naturalistic interactions with our exhibit to reveal connections between sensemaking talk; learners' behaviors and embodied actions during real-time collaborative knowledge building; and outcomes in knowledge, interest, and creativity measures as elicited in retrospective surveys. The final set of exhibits will be rigorously evaluated with over 500 museum visitors. The key contributions of this work will include a set of rigorously tested exhibits, publicly available exhibit designs, a set of design guidelines for developing AI literacy museum exhibits, and an improved understanding of the relationship between AI-related learning and interest development, embodiment, and creativity.
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TEAM MEMBERS:
Brian MagerkoDuri LongJessica Roberts
This project will teach foundational computational thinking (CT) concepts to preschoolers by creating a series of mobile apps to guide families through sequenced sets of videos and hands-on activities. To support families at home it would also develop a new library model to build librarians' computational thinking content knowledge and self-efficacy so they can support parents' efforts with their children. Computational thinking is a an increasingly critical skill for learning and success in the workforce. It includes the ability to identify problems, brainstorm and generate solutions and processes that can be communicated and followed by computers or humans. There are few projects that introduce computational thinking to young children. Very little research has been done on the ways that parents can facilitate children's engagement in CT skills. And developing a model that trains and supports librarians to become virtual coaches of parents as they engage with their children in CT, will leverage and build the expertise of librarians. The project's target audience includes parents and children living in rural areas where access to CT learning may be very limited. Project partners include the EDC, a major research organization, the American Library Association, and BUILD, a national association that promotes collaborations across library, kindergarten readiness, and public media programming.
The formative research study asks: 1) What supports do parents of preschoolers in rural communities need in order to effectively engage in CT with their children at home? and 2) How can libraries in rural communities support joint CT exploration in family homes? The summative research study asks: 3) how can an intervention that combines media resources, mobile technology, and library supports foster sustained joint parent/child engagement and positive attitudes around CT? Researchers will develop a parent survey, adapting several scales from previously developed instruments that ask parents to report on children's use of CT-related vocabulary and CT-related attitudes and dispositions. Survey scales will assess librarians' attitudes towards CT, as well as their self-efficacy in supporting parents in CT in a virtual environment. During the formative study, EDC will pilot-test survey scales with 30 parents and 6 librarians in rural MS and KY. Analyses will be primarily qualitative and will be geared toward producing rapid feedback for the development team. Quantitative analyses will be used on parent app use, using both time query and back-end data, exploring factors associated with time spent using apps. The summative study will evaluate how the new media resources and mobile technology, in combination with the library virtual implementation model, support families' joint engagement with CT, and positive attitudes around CT. The researchers will recruit 125 low-income families with 4- to 5-year-old children in rural MS and KY to participate in the study. They will randomly assign families within each library to the full intervention condition, including media resources, mobile technology, and library support delivered through the virtual implementation model, or the media and mobile-technology-only condition. This design will allow researchers to understand more fully the additional benefit of library support for rural families' sustained engagement, and conversely, see the comparative impact of a media- and mobile-technology only intervention, given that some families might not be able to access virtual or physical library support.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program 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. This project is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.
This Innovations in Development 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.
Refugee youth are particularly vulnerable to STEM disenfranchisement due to factors including limited or interrupted schooling following displacement; restricted exposure to STEM education; and linguistic, cultural, ethnic, socioeconomic, and racial minority status. Refugee youth may experience a gap in STEM skills and knowledge, and a conflict between the identities necessary for participation in their families and communities, and those expected for success in STEM settings. To conduct research to better understand these challenges, an interrelated set of activities will be developed. First, youth will learn principles of physics and computing by participating in cosmic ray research with physicists using an instructional approach that builds from their home languages and cultures. Then youth periodically share what they are learning in the cosmic ray research with their parents, siblings, and science teachers at family and community science events. Finally, youth conduct reflective research on their own STEM identity development over the course of the project. Research on learning will be conducted within and across these three strands to better understand how refugee youth develop STEM-positive identities. This project will benefit society by improving equity and diversity in STEM through (1) creating opportunities for refugee youth to participate in physics research and to develop computing skills and (2) producing knowledge on STEM identity development that may be applied more broadly to improve STEM education. Deliverables from this project include: (a) research publications on STEM identity and learning; (b) curriculum resources for teaching physics and computing to multilingual youth; (c) an online digital storytelling exhibit offering narratives about belonging in STEM research which can be shared with STEM stakeholders (policy makers, scientists, educators, etc.); and (d) an online database of cosmic ray data which will be available to physicists worldwide for research purposes. This Innovations in Development proposal 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.
This program is designed to provide multiple contexts, relationships, and modes across and within which the identity work of individual students can be studied to look for convergence or divergence. To achieve this goal, the research applies a linguistic anthropological framework embedding discourse analysis in a larger ethnography. Data collected in this study include field notes, audio and video recordings of naturalistic interactions in the cosmic ray research and other program activities, multimodal artifacts (e.g., students' digital stories), student work products, interviews, and surveys. Critically, this methodology combines the analysis of identity formation as it unfolds in moment-to-moment conversations (during STEM learning, and in conversations about STEM and STEM learning) with reflective tasks and the production of personal narratives (e.g., in digital stories and interviews). Documenting convergence and divergence of STEM identities across these sources of data offers both methodological and theoretical contributions to the field. The research will offer thick description of the discursive practices of refugee youth to reveal how they construct identities related to STEM and STEM disciplines across settings (e.g., during cosmic ray research, while creating digital stories), relationships (e.g., peer, parent, teacher), and the languages they speak (e.g., English, Swahili). The findings will be of potential value to instructional designers of informal learning experiences including those working with afterschool, museums, science centers and the like, educators, and scholars of learning and identity.
This Innovations in Development 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.
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TEAM MEMBERS:
Tino NyaweloJohn MatthewsJordan GertonSarah Braden