Towards Collaborative Convergence: Quantifying Collaboration Quality with Automated Co-located Collaboration Analytics

S. Praharaj, M. Scheffel, Marcel Schmitz, M. Specht, H. Drachsler

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Collaboration is one of the four important 21st-century skills. With the pervasive use of sensors, interest on co-located collaboration (CC) has increased lately. Most related literature used the audio modality to detect indicators of collaboration (such as total speaking time and turn taking). CC takes place in physical spaces where group members share their social (i.e., non-verbal audio indicators like speaking time, gestures) and epistemic space (i.e., verbal audio indicators like the content of the conversation). Past literature has mostly focused on the social space to detect the quality of collaboration. In this study, we focus on both social and epistemic space with an emphasis on the epistemic space to understand different evolving collaboration patterns and collaborative convergence and quantify collaboration quality. We conduct field trials by collecting audio recordings in 14 different sessions in a university setting while the university staff and students collaborate over playing a board game to design a learning activity. This collaboration task consists of different phases with each collaborating member having been assigned a pre-fixed role. We analyze the collected group speech data to do role-based profiling and visualize it with the help of a dashboard.
Original languageEnglish
Title of host publicationLAK22: 12th International Learning Analytics and Knowledge Conference
Place of PublicationOnline USA
PublisherAssociation for Computing Machinery (ACM)
Pages358-369
Number of pages12
ISBN (Electronic)978-1-4503-9573-1
DOIs
Publication statusPublished - 21 Mar 2022
Event12th International Learning Analytics and Knowledge Conference - Online, United States
Duration: 21 Mar 202225 Mar 2022
Conference number: 12
https://www.solaresearch.org/events/lak/lak22/

Conference

Conference12th International Learning Analytics and Knowledge Conference
Abbreviated titleLAK22
Country/TerritoryUnited States
Period21/03/2225/03/22
Internet address

Keywords

  • collaboration analytics
  • collaborative learning
  • co-located collaboration analytics
  • multimodal learning analytics
  • learning analytics
  • cscl
  • team work

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