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resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Marti Louw Kevin Crowley Camellia Sanford
resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Lisa Hardy Jennifer Kahn Gary Goldberger
resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Bob Hirshon Monae Verbeke Suzanne Thurston
resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Chris Schmidt Lisa Leombruni
resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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TEAM MEMBERS: Teon Edwards Jodi Asbell-Clarke Ibrahim Dahlstrom-Hakki Jamie Larsen Adam Lalor
resource evaluation K-12 Programs
In fall 2019, the Bell Museum received funding via a NASA TEAM II grant to create Mars: The Ultimate Voyage, a full-dome planetarium show and accompanying hands-on activities that focus on the interdisciplinary roles that will be needed to send humans to Mars. This report from Catalyst Consulting Group presents the findings from the summative evaluation completed in March–May 2023.
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TEAM MEMBERS: VERONICA DEL BIANCO Maren Harris Karen Peterman
resource evaluation Games, Simulations, and Interactives
This report is the summative evaluation of Moon Adventure Game. The Moon Adventure Game is a challenge-based immersive game, inspired by “escape room” experiences, which asks visitors to take on activities to help them think about what people might need to live and work on the Moon.
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resource evaluation Museum and Science Center Exhibits
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. 
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resource project Museum and Science Center Exhibits
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 Lauer Scotty Craig Mina Johnson-Glenberg Michelle Hale
resource evaluation Informal/Formal Connections
This document is the final evaluation report for the project, which focuses both on formative evaluation of the collaborative+interdisciplinary presentation creation process and summative evaluation of audience learning outcomes. 
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TEAM MEMBERS: Justin Reeves Meyer Donnelley (Dolly) Hayde Laura Weiss
resource research Museum and Science Center Exhibits
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 Rowe Wookhee Min Seung Lee Bradford Mott James Lester
resource research Museum 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 Henderson Wookhee Min Andrew Emerson Jonathan Rowe Seung Lee James Minogue James Lester