Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/4567
Title: | A Qualitative Analysis of Joint Visual Attention and Collaboration with High- and Low-Achieving Groups in Computer-Mediated Learning |
Authors: | Bryant, Tonya Radu, Iulian Schneider, Bertrand |
Issue Date: | Jun-2019 |
Publisher: | International Society of the Learning Sciences (ISLS) |
Citation: | Bryant, T., Radu, I., & Schneider, B. (2019). A Qualitative Analysis of Joint Visual Attention and Collaboration with High- and Low-Achieving Groups in Computer-Mediated Learning. In Lund, K., Niccolai, G. P., Lavoué, E., Hmelo-Silver, C., Gweon, G., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 2 (pp. 923-924). Lyon, France: International Society of the Learning Sciences. |
Abstract: | While interest in using dual eye tracking sensors in computer-supported collaborative learning research continues to grow, it remains a challenge to know how to interpret the data these tools generate. This qualitative analysis leverages dual eye tracking data to offer Joint Visual Attention (JVA) graphs as a novel approach to depicting gaze synchronization, and presents a case study to provoke discussion around the opportunities to improve JVA graphs. |
URI: | https://doi.dx.org/10.22318/cscl2019.923 https://repository.isls.org//handle/1/4567 |
Appears in Collections: | CSCL 2019 |
Files in This Item:
File | Size | Format | |
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923-924.pdf | 266.35 kB | Adobe PDF | View/Open |
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