The aim for this project is to research, prototype and/or evaluate approaches to increase the explanatory effectiveness of the visualisations contained in analytics dashboards or similar support data-intensive tools. Explanatory visualisations are those whose main goal is the presentation and communication of insights. By contrast, exploratory visualisations are commonly targeted at experts in data analysis in search of insights from unfamiliar datasets. The premise is that most of current analytics tools are not designed as explanatory interfaces. Here we are talking about users without data analysis training who may need to interact with data (for example, using a dashboard). This is an area that can lead to important contributions in the areas of learning analytics and information visualisation. We sit at the Centre of Learning Analytics at Monash so you may want to focus on educational contexts. But there is an option to focus on a more general context (e.g. using alternative datasets).