Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

S. Praharaj

Research output: ThesisDoctoral ThesisThesis 1: fully internal

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The main objectives of the thesis are: (1) to define the constituents helping to detect co-located (or face-to-face) collaboration (CC) quality (i.e., indicators, indexes and parameters in this case); (2) to design and develop a sensor-based set up for automatic CC analytics; (3) to move towards quantifying the quality of collaboration by using the CC analytics set up and show the visualizations on a dashboard.
Original languageEnglish
Awarding Institution
  • Open Universiteit: faculties and services
  • Drachsler, Hendrik, Supervisor
  • Specht, Marcus, Supervisor
  • Scheffel, Maren, Co-supervisor
Award date11 Mar 2022
Place of PublicationNetherlands
Print ISBNs978-94-93211-43-8
Electronic ISBNs978-94-93211-43-8
Publication statusPublished - 11 Mar 2022


  • Co-located collaboration (CC)
  • co-located collaboration analytics
  • multimodal learning analytics
  • learning analytics
  • Technology Enhanced Learning
  • artificial intelligence in education


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