We used a youth focused wild berry monitoring program that spanned urban and rural Alaska to test this method across diverse age levels and learning settings.
DATE:
TEAM MEMBERS:
Katie SpellmanDouglas CostChristine Villano
Plants with persistent fleshy fruits that last throughout fall and into winter and spring are an important source of nutrition for animals and people in boreal, subarctic, and arctic regions, but little information on fruit retention or loss is available for these regions. We evaluated fruit loss for four species across Alaska using data from our Winterberry community science network.
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.
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.
DATE:
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.
DATE:
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.
DATE:
TEAM MEMBERS:
Andrew EmersonNathan HendersonWookhee MinJonathan RoweJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
In this paper, we introduce a Bayesian hierarchical modeling framework for predicting learner engagement with Future Worlds, a tabletop science exhibit for environmental sustainability.
DATE:
TEAM MEMBERS:
Andrew EmersonNathan HendersonJonathan RoweWookhee MinSeung LeeJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
In this paper, we investigate bias detection and mitigation techniques to address issues of
algorithmic fairness in multimodal models of museum visitor visual attention.
DATE:
TEAM MEMBERS:
Halim AcostaNathan HendersonJonathan RoweWookhee MinJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
DATE:
TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood
Reflections and Ideas about Collaboration with Integrity explores the work Generations of Knowledge: Traditional Ecological Knowledge and Environmental Science (National Science Foundation DRL-1010559), a six-year collaborative project between OMSI and Native partners from diverse tribes, cultures, and ecoregions that co-created traveling exhibits and programs for science and tribal museums. This legacy document reflects on and shares what we learned on this journey, including our detours and course corrections. The legacy document strongly reflects the work of the whole project both in its
DATE:
TEAM MEMBERS:
Victoria CoatsCecilia NguyenMolly SchmitzJaclyn BarberTim HecoxMarilyn JohnsonKyrie Thompson KellettTim SteevesLeah Gibson (Oglala Lakota)David Begay Diné [Navajo])Inez Bill (Tulalip/Lummi)Karen Kitchen (Osage)Katherine KrileHerb Lee, Jr. (Hawaiian)VerlieAnn Malina-Wright (Hawaiian)Nancy Maryboy (Cherokee/Diné [Navajo])Randall Melton (Seminole/CTUIR)Wenix Red Elk (CTUIR)David CozzoVicki Cruz (Cherokee)Deana Dartt (Chumash)Jill SteinShelly Valdez (Laguna Pueblo)Pamela Woodis (Jicarilla Apache)Tessa Campbell (Tulalip)