2021 Poster - Multimodal Visitor Analytics: Investigating Naturalistic Engagement with Interactive Tabletop Science Exhibits

Date: 
Sunday, December 5, 2021
Resource Type:
Conference Proceedings | Reference Materials
Environment Type: 
Exhibitions, Museum and Science Center Exhibits
Audience: 
General Public | Museum/ISE Professionals | Evaluators | Learning Researchers
Discipline: 
Education and learning science | General STEM
Organization:
North Carolina State University, North Carolina Museum of Natural Sciences
Description: 

The overarching goal of this Research in Service to Practice project is to leverage multimodal learning analytics to develop an enriched understanding of visitor engagement in science museums. The project centers on data-rich investigations of visitor engagement with interactive tabletop exhibits about environmental science and sustainability. During free-choice learning in museums and science centers, visitor engagement shapes how learners interact with exhibits, move around the exhibit space, and form attitudes, interests, and understanding of science. Multimodal visitor analytics integrates the rich multichannel data streams produced by fully-instrumented exhibit spaces with the data-driven modeling functionalities afforded by recent advances in machine learning and educational data mining.

This poster was presented at the 2021 NSF AISL Awardee Meeting.

Funder(s): 
NSF
Funding Program: 
Advancing Informal STEM Learning (AISL)
Award Number: 
1713545

Team Members

James LesterJames LesterPrincipal Investigator
Jonathan RoweJonathan RoweCo-Principal Investigator
James MinogueJames MinogueCo-Principal Investigator
Roy CampbellRoy CampbellContributor

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