Publicado por Mathieu Daquin
14/09/2016
When dealing with Data Science, “learning” tends to be an ambiguous term: With the ubiquity of machine learning, we sometimes forget that humans learn too. Sure, that’s not entirely true, but considering how evidently omnipresent the process of learning is for humans, it seems strange how much the two worlds of Data Science and Education have been struggling to collide. The most obvious way in which they do is the emerging field of learning analytics. The basic idea here is, through data analytics, to try to understand how we learn and to improve how we teach. Right now, most approaches remain technically straightforward as they focus essentially on the organisational, policy and pedagogical implications. For example, the OU Analyse system, as many ot...
