We use the unique digital footprints created by student interactions with online systems within a University environment to measure student behaviour and correlate it with exam performance. The specific digital footprint we use is student use of the Eduroam WiFi platform within our campus from smartphones, tablets and laptops. The advantage of this data-set is that it captures the personal interactions each student has with the IT systems. Data-sets of this type are usually structured, complete and traceable. We will present findings that illustrate that the behaviour of students can be contextualised within the academic environment by mining this data-set. We achieve this through identifying student location and those who share that location with them and cross-referencing this with the scheduled University timetable.