This is a guest blog by Lindsay Pineda, who is currently a Senior Implementation Consultant for Unicon and has a rich background in learning/predictive analytics. In her previous position, she focused on helping to develop, implement, and execute a proprietary predictive modeling technology that has proven to be successful in predicting student course persistence on […]
I was at Jisc Digifest 2017 last week involved in several sessions around data and analytics. However for me the most interesting session was the debate on Humans vs Machines debating whether “Learning analytics interventions should always be mediated by a human being”. In case you are new to learning analytics, it is the use […]
Universities and colleges are accumulating significant amounts of data about student engagement, potentially enabling early warning about students at risk of failure – and the enhancement of many aspects of course provision. But how should that data be presented to the various stakeholders in institutions? Who are these stakeholders and what would be the most […]