5. Summary
Technology can be used to support students to improve their study behaviours and strategies. As there are a multitude of behaviours that could potentially benefit student learning, we used a statistical process to identify which study behaviours have the greatest impact on academic performance. Two models were created that covered different dimensions of performance selfperception and results achieved. We then modelled the data based on current students and alumni and identified a general trend towards behaviours and factors that provide immediate benefits for current students, and higher-order thinking behaviours and factors for alumni. The models outlined in this paper form the basis from which persuasive systems can be designed to improve learning outcomes, as they provide a richer picture of how student learning behaviours naturally develop. Drawing on this knowledge, persuasive systems for education can now aim to influence the natural progression of good students for those students who are underperforming, possibly due to their behavioural deficiencies.