Interaction patterns for assessment of learners in tabletop based collaborative learning environment

  • Authors:
  • Ammar Al-Qaraghuli;Halimah Badioze Zaman;Azlina Ahmad;Jihan Raoof

  • Affiliations:
  • National University of Malaysia;National University of Malaysia;National University of Malaysia;National University of Malaysia

  • Venue:
  • Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
  • Year:
  • 2013

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Abstract

Most of the emerging digital tabletop prototypes lack the capability to identify users and hence cannot attribute actions to users. Identity attribution is essential for logging user interactions and activity analysis. This research uses a prototype of a multi-pen digital tabletop that supports user identification. A collaborative learning application called Digital Mysteries was built, aiming mainly to examine the benefits of digital tabletops to collaborative learning. The application logged the interaction of students collaborating to solve ill-defined problems. Teachers analysed recorded videos of the application trials to inform the subsequent pattern detection step. The automated interaction logs were then analysed to discover the hidden patterns of interaction that are suitable to evaluate the achievement of each student. The analysis also looked for patterns to detect students need for inter-activity feedback, besides patterns to identify leaders and free riders.