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.
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.
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.
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 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.
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