The Openproof Project at CSLI: Research
Learning Analytics

Data Mining

Learning Analytics is an emerging discipline concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students and the settings in which they learn.

One technique used in learning analytics is educational data mining, which employs data mining techniques to analyze large corpora gathered from educational software tools. By applying these, and other, techniques we are analyzing the Grade Grinder corpus. We aim to develop techniques and approaches that will be subsequently reusable by colleagues wishing to exploit the other large educational data sets that are likely to become ubiquitous as, for example, learning management systems become more widely used. The following sections outline what we're doing with the data and the questions we seek to address.