RISES (Re-energize and Invigorate Student Engagement through Science) is a coordinated suite of resources including 42 interactive English and Spanish STEM videos produced by Children's Museum Houston in coordination with the science curriculum department at Houston ISD. The videos are aligned to the Texas Essential Knowledge and Skills standards, and each come with a bilingual Activity Guide and Parent Prompt sheet, which includes guiding questions and other extension activities.
DATE:
-
TEAM MEMBERS:
resourceresearchMuseum and Science Center Exhibits
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.
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.
DATE:
-
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.
DATE:
-
TEAM MEMBERS:
Rebecca SafranShawhin RoudbariMary Osnes
resourceresearchMuseum 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.
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
resourceevaluationMuseum and Science Center Exhibits
This document presents the final evaluation report for the NSF-funded AISL project: "Multimodal Visitor Analytics: Investigating Naturalistic Engagement with Interactive Tabletop Science 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