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

December 5th, 2021 | RESEARCH

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.

Document

1713545_James_Lester-and-Jonathan-Rowe_Poster.pdf

Team Members

James Lester, Principal Investigator, North Carolina State University
Jonathan Rowe, Co-Principal Investigator, North Carolina State University
James Minogue, Co-Principal Investigator, North Carolina State University
Roy Campbell, Contributor, North Carolina Museum of Natural Sciences

Funders

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

Related URLs

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

Tags

Audience: Evaluators | General Public | Learning Researchers | Museum | ISE Professionals
Discipline: Education and learning science | General STEM
Resource Type: Conference Proceedings | Reference Materials
Environment Type: Exhibitions | Museum and Science Center Exhibits

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This material is supported by National Science Foundation award DRL-2229061, with previous support under DRL-1612739, DRL-1842633, DRL-1212803, and DRL-0638981. Any opinions, findings, conclusions, or recommendations contained within InformalScience.org are those of the authors and do not necessarily reflect the views of NSF.

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