Given the important role of autonomy support in children’s motivation and learning, this study asked whether parents’ use of autonomy supportive language (vs. controlling language) was associated with children’s engagement in science, technology, engineering, and mathematics in a bi-directional manner during an at-home tinkering activity.
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.
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
The Museum of Science, Boston and Boston University received funding from the National Science Foundation to develop and implement a pilot program mentoring high school students in science research, communication, and education practices, through the lens of experimental psychology research.
DATE:
TEAM MEMBERS:
Katie ToddIan Chandler-CampbellRachel Fyler
Presentation slides and narration for the NARST 2022 Annual Conference. In this presentation we summarize findings from our interviewed with undergraduate STEM majors who identify as Latine, homing in on the ways in which they characterize "STEM" and "STEM people" and their descriptions of K-12 experiences that contributed to their characterizations of these concepts.
This presentation "Revealing Impacts: How does one long-term, statewide field trip program influence a community's learning ecosystem?" was shared as showcase at the 2021 Connected Learning Summit (https://app.clowdr.org/conference/clsummit2021/) held virtually from July 7-30, 2021.
In the showcase session, we shared details of an NSF funded collaborative project between the Gulf of Maine Research Institute, Oregon State University and TERC to understand how a longstanding, statewide field trip program, LabVenture, influences a community’s learning ecosystem. The project uses the construct