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.
This one-day, international symposium aims to unravel some of the mystery around interdisciplinary collaboration and innovation. It builds on the success of the Creativity, Learning, and Technology symposium held in Geneva, December 2017. Participants are local and international experts working within the field. They will share their knowledge regarding recent developments in this exciting area of research and engage in discussions about future directions.
Having dropped out of university because of loneliness and depression, Hayley Mulenda – a former speaker at Jisc’s annual Digifest event - says effective use of data analytics and greater diversity of academic staff are crucial in supporting students.
The first webinar focused on research and case studies relating to the ‘Alert’ stage of supporting students at risk (Alert > Communications > Intervention)
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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.