The success of learning analytics rests on how students understand and use them. We asked pre-service teachers how they would see LA supporting their studies in higher education. Learn more about the four roles that we identified from students’ conversations!
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.
The first webinar focused on research and case studies relating to the ‘Alert’ stage of supporting students at risk (Alert > Communications > Intervention)
Learning analytics dashboards are single displays that combine different indicators about learners, the learning process and/or the learning context into one or multiple visualisations.