This project builds on an NSF-funded program which engaged youth in the creation of art-science experiences that use the biology and the experiences of migratory birds as a means for communicating the impact of a changing climate.
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TEAM MEMBERS:
Rebecca SafranShawhin RoudbariMary Osnes
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
Milwaukee has established itself as a leader in water management and technology, hosting a widely recognized cluster of industrial, governmental, nonprofit, and academic activity focused on freshwater. At the same time, Milwaukee faces a wide range of challenges with freshwater, some unique to the region and others common to cities throughout the country. These challenges include vulnerability to flooding and combined sewer overflows after heavy rainfall, biological and pharmaceutical contamination in surface water, lead in drinking water infrastructure, and inequity in access to beaches and other recreational water amenities. Like other cities, Milwaukee grapples with the challenges global climate change imposes on urban water systems, including changing patterns of precipitation and drought.
These problems are further complicated by Milwaukee's acute racial and economic residential segregation. With a population of approximately 595,000, embedded within a metropolitan area of over 1.5 million, Milwaukee remains one of the country's most segregated cities. There is increasing urgency to engage the public--and especially those who are most vulnerable to environmental impacts--more deeply in the stewardship of urban water and in the task of creating sustainable urban futures. The primary goal of this four-year project is to foster community-engaged learning and environmental stewardship by developing a framework that integrates art with Science, Technology, Engineering, and Mathematics (STEM) experiences along with geography, water management, and social science. Synergies between STEM learning and the arts suggest that collaborations among artists, scientists, and communities can open ways to bring informal learning about the science of sustainability to communities.
WaterMarks provides an artist generated conceptual framework developed by Mary Miss / City as Living Laboratory (CALL) to help people better understand their relationship to the water systems and infrastructure that support their lives. Project activities include artist/scientist/community member-led Walks, which are designed to engage intergenerational participants both from the neighborhoods and from across the city, in considering the conditions, characteristics, histories, and ecosystems of neighborhoods. Walks are expanded upon in Workshops with residents, local scientists/experts, and other stakeholders, and include exploring current water-related environmental challenges and proposing solutions. The Workshops draw on diverse perspectives, including lived experience, scientific knowledge, and policy expertise. Art projects created by local artists amplify community engagement with the topics, including programming for teens and young adults. Free Wi-Fi will be integrated into various Marker sites around the city providing access to online, self-guided learning opportunities exploring the water systems and issues facing surrounding neighborhoods. Current programming focuses primarily on Milwaukee's predominantly African American near North Side and the predominantly Latinx/Hispanic near South Side. Many neighborhoods in these sections are vulnerable to such problems as frequent flooding, lead contamination in drinking water, inequities in safety and maintenance of green space, and less access to Lake Michigan, the city's primary natural resource and recreational amenity.
The WaterMarks project advances informal STEM learning in at least two ways. First, while the WaterMarks project is designed to fit Milwaukee, the project includes the development of an Adaptable Model Guide. The Guide is designed so that other cities can modify and employ its inclusive structure, programming, and process of collaboration among artists, scientists, partner organizations, and residents to promote citywide civic engagement in urban sustainability through the combination of informal STEM learning and public art. The Guide will be developed by a Community-University Working Group (CULab) hosted by UW-Milwaukee's Center for Community-Based Learning, Leadership, and Research and made up of diverse community and campus-wide stakeholders. In addition to overseeing the Guide’s creation, CULab will conceptualize onboarding and mentorship strategies for new participants as well as a framework for the program’s expansion and sustainability.
Second, through evaluation and research, the project will build a theoretical model for the relationships among science learning, engagement with the arts, and the distinctive contexts of different neighborhoods within an urban social-ecological system. The evaluation team, COSI’s Center for Research and Evaluation, and led by Co-PI Donnelly Hayde, aims to conduct formative, summative, and process evaluation of the Watermarks project, with the additional goal of producing evaluative research findings that can contribute to the broader field of informal learning. Evaluation foci include: How does the implementation of WaterMarks support positive outcomes for the project’s communities and the development of an adaptable model for city-scale informal science learning about urban environments? 2. To what extent do the type and degree of outcome-related change experienced by participating community residents vary across and/or between project sites? What factors, if any, appear to be linked to these changes? 3. To what extent and in what ways do the activities of the WaterMarks projects appear to have in situ effects related to the experience of place at project sites?
The project’s research team led by PI Ryan Holifield and Co-PI Woonsup Choi, will investigate how visual artistic activities introduced by the programming team as part of the Walks (and potentially other engagement activities) interact with personal, sociocultural, and physical contexts to produce distinctive experiences and outcomes of informal science learning about urban water systems. The aim of the research will be to synthesize the results from the different WaterMarks sites into an analysis generalizable beyond specific neighborhoods and applicable to other cities. The project's research questions include: 1. How does participation in Walks focused on visual artistic activities affect outcomes and experiences of informal STEM learning about urban water systems? 2. How do outcomes and experiences of informal STEM learning vary across different urban water topics, participants from different demographic groups, and contrasting sociocultural and biophysical contexts?
This Innovations in Development project is led by the University of Wisconsin-Milwaukee (UWM), in collaboration with City as Living Laboratory (CALL) and the COSI Center for Research and Evaluation.
Computing and computational thinking are integral to the practice of modern science, technology, engineering, and math (STEM); therefore, computational skills are essential for students' preparation to participate in computationally intensive STEM fields and the emerging workforce. In the U.S., Latinx and Spanish speaking students are underrepresented in computing and STEM fields, therefore, expanding opportunities for students to learn computing is an urgent need. The Georgia Institute of Technology and the University of Puerto Rico will collaborate on research and development that will provide Latinx and Spanish speaking students in the continental U.S. and Puerto Rico, opportunities to learn computer science and its application in solving problems in STEM fields. The project will use a creative approach to teaching computer science by engaging Latinx and Spanish speaking students in learning how to code and reprogram in a music platform, EarSketch. The culturally relevant educational practices of the curriculum, as a model for informal STEM learning, will enable students to code and reprogram music, including sounds relevant to their own cultures, community narratives, and cultural storytelling. Research results will inform education programs seeking to design culturally authentic activities for diverse populations as a means to broaden participation in integrated STEM and Computing. This Broad Implementation 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, including multiple pathways for broadening access to and engagement in STEM learning, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
As part of the technical innovation of the project, the EarSketch platform will be redesigned for cultural and linguistic authenticity that will include incorporating traditional and contemporary Latin sound beats and musical samples into the software so that students can remix music and learn coding using sounds relevant to their cultures; and developing a Spanish version of the platform, with a toggle to easily switch between English and Spanish. Investigators will also develop an informal STEM curriculum using best practices from Culturally Relevant Education and Cultural Sustaining Pedagogy that provides authentic, culturally and linguistically rich opportunities for student engagement by establishing direct and constant connections to their cultures, communities and lived experiences. The curriculum design and implementation team will work collaboratively with members of Latinx diverse cultural groups to ensure semantic and content equivalency across diverse students and sites. Validating the intervention across students and sites is one of the goals of the project. The model curriculum for informal learning will be implemented as a semester long afterschool program in six schools per year in Atlanta and Puerto Rico, and as a one-week summer camp twice in the summer. The curricular materials will be broadly disseminated, and training will be provided to informal learning practitioners as part of the project. The research will explore differences in musical and computational engagement; the interconnection between music and the computational aspects of EarSketch; and the degree to which the program promotes cultural engagement among culturally and linguistically heterogenous groups of Latinx students in Atlanta, and more culturally and linguistically homogenous Latinx students in Puerto Rico. Investigators will use a mixed method design to collect data from surveys, interviews, focus groups, and computational/musical artifacts created by students. The study will employ multiple case study methodology to analyze and compare the implementation of the critical components of the program in Puerto Rico and Atlanta, and to explore differences in students' musical and computational thinking practices in the two regions. Results from the research will determine the impact of the curriculum on computer science skills and associated computational practices; and contribute to the understanding of the role of cultural engagement on educational outcomes such as sense of belonging, persistence, computational thinking, programming content knowledge and computer science identity. Results will inform education programs designing culturally authentic and engaging programming for diverse populations of Latinx youths.
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TEAM MEMBERS:
Diley HernandezJason FreemanDouglas EdwardsRafael Arce-NazarioJoseph Carroll-Miranda
This University of Wisconsin System will conduct research to understand how the Madison Public Library (MPL) is building a production-oriented approach to literacy and learning through their maker-focused program, the Bubbler. On a national level, this project speaks to educational research communities, professionals, members of informal learning institutions, and organizers of designed makerspaces. At the local level, it addresses underserved populations in the Madison area and MPL in evaluating and developing the Bubbler. Findings will be shared through conference presentations, journal articles, and networks of library professionals.