Add to ORKGResearch in the field of peer influence is often based on the data collected through direct observation, interviews and surveys. These methods can be prone to bias and errors induced through human errors caused by question or answer interpretation or interviewee recall of historical events. \ud My research utilises a unique form of data collection in the learning analytics domain. \ud The data source is the anonymised digital footprint generated through the interaction of students wifi enabled devices and the universities wifi platforms. This datasets are collected without the intervention of researchers. It is hypothesized that the analysis of wifi logs can identify: student location patterns, duration of visits to each location and mo...
There has been much research examining the influences on an individual student and his/her academic ...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...
Research in the field of peer influence is often based on the data collected through direct observat...
The ability of researchers to identify the type of activities and levels of interaction among studen...
Historically data collection in the research pro- cess involves either surveys, interviews or observ...
We use the unique digital footprints created by student interactions with online systems within a Un...
Wi-Fi technologies have become one of the most popular means for Internet access. As a result, the u...
Social interaction amongst students can often affect their university experience drastically. The ma...
The various activities that take place within an observed environment such as a university campus, d...
As tertiary education institutes improve their quality of education, they seek advancement in techno...
Educational data mining provides a way to predict student academic performance. A psychometric facto...
Educational data mining provides a way to predict student academic performance. A psychometric facto...
Abstract — This Data mining has been a commonly used tool in the telecommunication sector. This is d...
There has been much research examining the influences on an individual student and his/her academic ...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...
Research in the field of peer influence is often based on the data collected through direct observat...
The ability of researchers to identify the type of activities and levels of interaction among studen...
Historically data collection in the research pro- cess involves either surveys, interviews or observ...
We use the unique digital footprints created by student interactions with online systems within a Un...
Wi-Fi technologies have become one of the most popular means for Internet access. As a result, the u...
Social interaction amongst students can often affect their university experience drastically. The ma...
The various activities that take place within an observed environment such as a university campus, d...
As tertiary education institutes improve their quality of education, they seek advancement in techno...
Educational data mining provides a way to predict student academic performance. A psychometric facto...
Educational data mining provides a way to predict student academic performance. A psychometric facto...
Abstract — This Data mining has been a commonly used tool in the telecommunication sector. This is d...
There has been much research examining the influences on an individual student and his/her academic ...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...
We demonstrate how social density-based clustering of WLAN traces can be utilised to detect granular...