Collaboration is one of the four important 21st century super skills. The detection of collaboration quality can help to support collaboration effectively. This talk addresses the automatic collaboration quality detection in 3 different steps:
- Define the components to detect collaboration quality;
- Explain the design of a sensor-based set up for automatic collaboration analytics using natural language processing, topic modelling, speech content analytics and
learning analytics measures; - Move towards quantifying the quality of collaboration by using the automatic collaboration analytics set up and show some of these analyses using meaningful visualizations on an interactive dashboard.
In addition to it, the challenges and issues at hand including how solutions are being built in the current research upon the work already done is addressed.