Abstract
Arguably students' academic performance is one of the key areas that a university should focus on and perform further analysis on available data. One of the primary objectives of this research is to analyse the Wi-Fi AMP (Access Module Processor) data gathered by the Information Services Department of University of Portsmouth and determine how students are spending their time on university campus. Later these data have been used to examine if this information can be related to the academic performance of the student. With the analysed Wi-Fi data and academic records of the students a preliminary model has been created which tries to show how the time spent by the students in different types of location are correlated.
Original language | English |
---|---|
Title of host publication | Human System Interactions (HSI), 2016 9th International Conference on |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 45-51 |
Number of pages | 7 |
ISBN (Electronic) | 978-1509017294 |
ISBN (Print) | 978-1509017300 |
DOIs | |
Publication status | Published - 4 Aug 2016 |
Event | The 9th International Conference on Human System Interaction - University of Portsmouth, Portsmouth, United Kingdom Duration: 6 Jul 2016 → 8 Jul 2016 http://www.hsi2016.org/index.html |
Conference
Conference | The 9th International Conference on Human System Interaction |
---|---|
Abbreviated title | HSI2016 |
Country/Territory | United Kingdom |
City | Portsmouth |
Period | 6/07/16 → 8/07/16 |
Internet address |
Keywords
- IEEE 802.11 Standard
- buildings
- Internet
- data mining
- libraries
- electronic learning