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Learning Analytics for Atelier

Weidmann, Sophie (2021) Learning Analytics for Atelier.

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Abstract:Learning Analytics play an increasingly important factor in virtual learning environments. Learning Analytics can be defined as the collection and evaluation of gathered data, used to create structured profiles of learners or the environment. These profiles can be utilized to increase the learning success of the individual, or to improve the learning environment as a whole. It is essential to adapt the Learning Analytics to the respective virtual environment in such a way that it offers the most valuable insights. This research provides insights into the effectiveness of Learning Analytics and will be tested on an existing learning environment called Atelier. The outcome of this research will be an extension for Atelier that implements Learning Analytics. The extension will then be used to evaluate the current effectiveness and use of Atelier. It will also allow for further research into the factors that are most effective in improving the learning environment.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/86919
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