Enhancing multimodal learning through personalized gesture recognition.

Abstract: Gestural recognition systems are important tools for leveraging movement‐based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical...

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Bibliographic Details

Published in:	Journal of Computer Assisted Learning Vol. 34; no. 4; pp. 350 - 358
Main Authors:	Junokas, M. J., Lindgren, R., Kang, J., Morphew, J. W.
Format:	pictorial research tables/charts Journal Article
Published:	Wiley-Blackwell Aug2018
Online Access:	View this record in EBSCOhost