This Integrating Research and Practice project leverages museum exhibits as unique family learning spaces to promote community engagement in critical climate change conversations.
This project includes the development of a toolkit of new hands-on facilitated museum activities, and a mobile app with both app-based activities and do-it-yourself (DIY) activities. This evaluation report focuses on the formative evaluation of three app activities that are being added to the DIY app series.
This project includes the development of a toolkit of new hands-on facilitated museum activities, and a mobile app with both app-based activities and DIY activities. The toolkit expands on the Explore Science series from the NISE Network and will be distributed to 350 NISE Network partner sites. This evaluation report focuses on the formative evaluation of the facilitated museum activities at the Science Museum of Minnesota.
Researchers at Arizona State University (ASU), in partnership with the Smithsonian Museum on Main Street (MoMS), the Arizona Science Center, and eight tribal and rural museum sites around Arizona, will help educate and empower communities living in the Desert Southwest on water sustainability issues through the creation of WaterSIMmersion, a mixed reality (MR) educational game and accompanying museum exhibit.
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TEAM MEMBERS:
Claire LauerScotty CraigMina Johnson-GlenbergMichelle Hale
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
Historically, many informal learning institutions have not accounted for neurological differences as they planned learning experiences, or they have offered separate programming for autistic individuals to accommodate sensory or behavioral differences. This project will address the limitations of these previous approaches by developing and testing neurodiversity-affirming guidelines for engineering programs in museums and science centers.
This analysis examines how assembly-style making activities support creative expression and early engineering learning. We suggest makerspace designers and educators consider include assembly-style making activities in the mix of options available to support makers who are less comfortable with making initially.
Kera Collective led a front-end evaluation to support the reimagining of When Things Get Moving, a hands-on science exhibition at the Science Center of Iowa designed to support intergenerational groups of visitors in learning about physics, force, and motion.
When museums talk about impacts, they often refer to the educational, economic, and social dimensions of impact. Of the three, social impact is perhaps the most difficult and elusive to measure with data-based evidence. At this pivotal time in history, advocating for museums, their staff, their collections, and their programs is more important than ever.
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