OU Analyse is a system powered by machine learning methods for early identification of students at risk of failing. All students with their risk of failure in their next assignment are updated weekly and made available to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.
HT2 Labs announces a 3-part Open Learning Experience (OLX) exploring how to use data to create engaging learning experiences that boost retention and help drive ROI.