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!
The OnTask Project aims to provide personalised, timely support actions to large student cohorts. The two-year project started in 2016 and is funded through a Strategic Priority Commissioned Grant by the Office of Learning and Teaching (OLT) of the Australian Government.
This systematic literature review aimed at identifying the pedagogical approaches, aligned with Education 4.0, used to support teaching computer science course with undergraduate and graduate students in Europe.
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.