University of Twente Student Theses
Differentiating user groups within an educational dashboard using log data
Brouwer, R.J. (2023) Differentiating user groups within an educational dashboard using log data.
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| Abstract: | Gaining complete understanding of an educational ecosystem is complex. To help with this dashboards exist that help teachers, board members and staff to gain overview of the school. Better understanding of the whole educational ecosystem is gained via these dashboards. Improving these dashboards is a complex task. Given that developers typically only have access to a small subset of user’s understanding, differences in usage of the dashboard is difficult to identify. In this research we looked at if all the users can be assigned to user groups based on measured behaviour. By measuring different features based on log data of the dashboard, different users can be grouped together into unique user groups. Grouping is performed by employing K Means and Hierarchical clustering. We found that K Means delivers better results and that there are multiple independent clustering’s into which users can be grouped. The different groups give insight into distinct usage of the dashboard, but further research is necessary to better understand if the user groups differ in interests, goals and concerns. |
| Item Type: | Essay (Master) |
| Clients: | TIG, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science, 85 business administration, organizational science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/96673 |
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