This conference project will bring together Black children's media creators with climate scientists and developmental psychologists to promote climate science story making that speak to the concerns, circumstances, and experiences of Black audiences.
This project builds on two prior NSF awards that supported development of a climate change exhibit at the Natural History Museum of Utah through deep engagement with research and rigorous prototyping. Grounded in key ideas from science communication, this exhibit is designed to support new, productive types of engagement around the topic of climate change among the diverse communities of Salt Lake City, Utah.
The goal of this evaluation was to determine how museum visitors responded to the museum's existing live animal exhibits and identify recommendations for their new Live Animal Garden exhibit.
The project will investigate how air quality data interactions (via these two concurrent designs: the public kiosk and the youth summer camp) can be designed to support learners' personal agency in data investigations, visualizations, and communications as well as how these experiences help non-experts learn about their environment.
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TEAM MEMBERS:
Jessica RobertsAlexander EndertJayma Koval
This Integrating Research and Practice project leverages museum exhibits as unique family learning spaces to promote community engagement in critical climate change conversations.
The conference will convene library leaders, climate researchers and educators, public health experts, and informal educators to examine the current prevalence of climate related programming in libraries, and how the concept of environmental health can be used by libraries to create locally and culturally relevant, change oriented, and equitable STEM (science, technology, engineering, and math) learning experiences.
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TEAM MEMBERS:
Anne HollandNoah LenstraSteph HarmonPaul Dusenbery
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
Climate change presents a significant challenge for parents worldwide as they navigate the task of preparing the next generation for a rapidly changing world. This interdisciplinary project aims to address this challenge by focusing on the needs of under-resourced Latino families, with a particular emphasis on Latino children who bear a disproportionate burden from climatic changes.
In a unique collaboration between PBS NewsHour and Indij Public Media (the parent company of ICT, formerly known as Indian Country Today), this project will put the perspectives and the reporting of Indigenous communities front and center through their co-creation of digital and broadcast segments.
Recent advances in multimodal learning analytics show significant promise for addressing these challenges by combining multi-channel data streams from fully-instrumented exhibit spaces with multimodal machine learning techniques to model patterns in visitor experience data. We describe initial work on the creation of a multimodal learning analytics framework for investigating visitor engagement with a game-based interactive surface exhibit for science museums called Future Worlds.
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TEAM MEMBERS:
Jonathan RoweWookhee MinSeung LeeBradford MottJames Lester
resourceresearchMuseum and Science Center Exhibits
Multimodal models often utilize video data to capture learner behavior, but video cameras are not always feasible, or even desirable, to use in museums. To address this issue while still harnessing the predictive capacities of multimodal models, we investigate adversarial discriminative domain adaptation for generating modality-invariant representations of both unimodal and multimodal data captured from museum visitors as they engage with interactive science museum exhibits.
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TEAM MEMBERS:
Nathan HendersonWookhee MinAndrew EmersonJonathan RoweSeung LeeJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
Recent years have seen a growing interest in investigating visitor engagement in science museums with multimodal learning analytics. Visitor engagement is a multidimensional process that unfolds temporally over the course of a museum visit. In this paper, we introduce a multimodal trajectory analysis framework for modeling visitor engagement with an interactive science exhibit for environmental sustainability.
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TEAM MEMBERS:
Andrew EmersonNathan HendersonWookhee MinJonathan RoweJames MinogueJames Lester