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.
Video is used extensively in teaching, but how do you design a dashboard to show teachers what they really need to know? An educational video guru talks about what features are on her “must have” list for video analytics.
Der Schlüssel zum Aufbau einer datengetriebenen Unternehmenskultur liegt in der Verbindung von Selfservice-Analytics und ansprechenden Visualisierungen. Interaktive Dashboards sind hervorragende Werkzeuge, um Erkenntnisse aus Daten zu ziehen und miteinander zu teilen. Um damit möglichst erfolgreich zu sein, sollten Datenanalysten einige Kriterien bei ihrem Dashboard-Design beachten.
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.
Ioana Jivet What are our LDE CEL researchers currently working on? In this article Learning Analytics researcher Ioana Jivet gives a short introduction to her study on the Learning Tracker widget.
Researchers from Monash University have developed a new model for learning analytics to help developers create better educational technology, following a systematic literature review of learning analytics dashboards.
A. Zhang, Y. Chen, и S. Oney. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, стр. 1–16. New York, NY, USA, Association for Computing Machinery, (19.04.2023)