Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/24337
Title: 
Authors: 
Issue Date: 
2022
Citation: 
Teo, C. L., Ong, A., & Lee, V. Y. A. (2022). Exploring students' epistemic emotions in knowledge building using multimodal data. In A. Weinberger, W. Chen, D. Hernandez-Leo, & B. Chen (Eds.), Proceedings of the 15th Computer-Supported Collaborative Learning: CSCL 2022 (pp. 266-273). Hiroshima, Japan: International Society of the Learning Sciences.
Abstract: 
Grasping students' emotions, especially those relating to learning, in a collaborative setting is no easy feat for teachers. The quality of collaboration comprises both visible behavior and emotion and the less visible emotional traits relating to engagement and motivation. Teachers often rely on their experience and intuition when it comes to these invisible traits. In this study, we collected multimodal data from a collaborative knowledge building classroom to analyze when and how students' emotions transpire during the working and improvement of ideas. Data included textual data, self-reports from surveys, interviews, and physiological data from face-to-face and online knowledge building discourse of 17 students in a 2.5-hour Social Studies lesson. We found shifts in epistemic emotions during idea improvement activities, and the students explained these shifts in understanding the discussion and engaging in idea-centric processes. We discuss findings for ongoing work to develop multimodal analytics for knowledge building practice.
URI: 
ISBN: 
9781737330646 (online)
ISSN: 
1573-4552
Project number: 
OER 19/19 TCL
Funding Agency: 
Ministry of Education, Singapore
File Permission: 
Open
File Availability: 
With file
Appears in Collections:Conference Papers

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