Co-designing a multimodal dashboard for collaborative analytics

authentic settings

multimodal learning analytics

CSCL

collaboration quality

Author

Kasepalu, R., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Prieto, L. P.

Citation (APA 7)

Chejara, P., Kasepalu, R., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Prieto, L. P. (2022). Co-Designing a Multimodal Dashboard for Collaborative Analytics. In Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning (CSCL) (pp. 577-578). International Society of the Learning Sciences.

Abstract

The understanding of collaboration quality is crucial for teachers to become aware of the activities going on in the groups and also for identifying groups in need to offer support in CSCL (Computer-Supported Collaborative Learning). Multimodal data captured during CSCL activity in the classroom can facilitate a holistic understanding of collaboration behavior. However, part of the problem is an adequate graphical representation of multimodal data that can help teachers to understand the collaboration and its related sub-constructs (e.g., argumentation). This aspect has been scarcely investigated in CSCL research using multimodal data. This paper presents a study with 58 participants co-designing a dashboard using multimodal data to aid teachers monitoring collaboration and supporting students in the classroom. According to our findings, teachers’ preferences include: abstract representation over quantitative measures (e.g., showing the group’s written contribution with a pen icon and an amount of writing as size of pen), quantitative details on request, and being notified when problems are identified.