University of Twente Student Theses
Party on? Inferring campus parties from WiFi logging
Pan, An (2023) Party on? Inferring campus parties from WiFi logging.
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| Abstract: | The quality of campus directly impacts student satisfaction and retention rates, making it crucial to understand how students interact with their campus environment. The traditional ways of analysing student behaviour (questionnaires and surveys) may produce biased results. Alternatively, collecting and analysing data, such as internet monitoring data and device connection logs, can provide valuable insights into student behaviour. This research paper explores student behaviours on the University of Twente campus by analysing anonymised WiFi router connection data. Specifically, it focuses on students' partying behaviour in the residential areas of the campus. Analysing students' partying behaviour using WiFi connection data offers a data-driven approach to understanding student interactions with their campus environment. It provides insights for campus administrators, planners, and educators in developing targeted strategies to improve campus infrastructure, enhance resource allocation, and provide a better experience for students. |
| 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/95845 |
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