Using Incoming Data to Monitor Engagement and Inform Mathematics Support Interventions

Abstract

Students who do not engage enough with their studies could place themselves at risk of underperforming or failing. Such a risk may be higher for students who are assessed in one or more mathematics modules and lack the appropriate background knowledge, or do not engage enough with related teaching activities. It has been shown for students who engage with mathematics support, there is a significant impact on student performance and progression in the relevant modules. Thus, improving the mechanisms of engagement with mathematics support should be a priority for any student success strategy.We discuss the monitoring of attendance and performance data of first-year engineering students, as it becomes available, in order to inform interventions which suit the observed student behaviour best. Specifically, the method described was used with first-year engineering students at the University of East London (UEL) during the 2017-8 academic year. We find that when monitoring processes are applied to an already tailored support package, they can often help maintain engagement levels, understand why some students do not engage, and prompt us to differentiate support further.