Abstract
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 language | English |
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Qualification | PhD |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 11 Mar 2022 |
Place of Publication | Netherlands |
Publisher | |
Print ISBNs | 978-94-93211-43-8 |
Electronic ISBNs | 978-94-93211-43-8 |
Publication status | Published - 11 Mar 2022 |
Keywords
- Co-located collaboration (CC)
- co-located collaboration analytics
- multimodal learning analytics
- learning analytics
- Technology Enhanced Learning
- artificial intelligence in education