Using Multi-Modal Data to Cluster Student’s Behavior within Embodied Learning Context-Reference-Cited by-同舟云学术

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Using Multi-Modal Data to Cluster Student’s Behavior within Embodied Learning Context

Published:2024-08-13 Issue: Volume:24 Page:1-6
ISSN:
Container-title:2024 15th International Conference on Information and Communication Systems (ICICS)
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Author:

Chettaoui Neila¹,Atia Ayman²,Bouhlel Med Salim³

Affiliation:

1. University of Sfax,National School of Engineers SETIT-Lab,Sfax,Tunisia

2. Helwan University October University for Modern Sciences and Arts,HCI-Lab, Faculty of Computers and Artificial Intelligence,Giza,Egypt

3. University of Sfax,Higher Institute of Biotechnology SETIT-Lab,Sfax,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638270/10638272/10638277.pdf?arnumber=10638277

Reference26 articles.

1. Describing functional diversity of brain regions and brain networks

2. A Measurement Model of Gestures in an Embodied Learning Environment: Accounting for Temporal Dependencies

3. Learning angles through movement: Critical actions for developing understanding in an embodied activity

4. Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies.

5. Learning environments with different levels of technological engagement: a comparison of game-based, video-based, and traditional instruction on students’ learning

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