Eliciting Predictive Behaviors to Support Embodied Mathematical Cognition: Socially Distanced Experimentation in the Time of COVID-19

• In Event: Motivation in the Age of COVID-19

Abstract

This study documents the re-design of a remote-learning experiment. Students are prompted to elicit predictive behaviors to test hypotheses about embodied geometric reasoning. To support embodied learning and research online, we needed to rethink online tools and adapt methodological protocols. Conducting embodied experimental research using web-conferencing platforms challenges how learners communicate the full scope of their actions and gestures and how researchers capture that data. This study provides methodological and design-based recommendations on: (1) Combinations of digital technologies use capturing learners’ body movements; (2) design considerations for creating low-bandwidth stimuli over video streams; (3) creating instructional scaffolds and (4) visual aids to promote better participation and data collection; (5) setting up electronic payments for remote remuneration.

Authors

• Fangli Xia, University of Wisconsin - Madison

• Michael I. Swart, University of Wisconsin - Madison

• Doy Kim, University of Wisconsin - Madison

• Mitchell J. Nathan, University of Wisconsin - Madison