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.
An simple introduction to Python dash framework with examples which will show how to write your first dash application, add css and event handling. Also, how to add file upload feature.
Today, Web Analytics (WA) is commonly used to obtain key information about users and their behavior on websites. Besides, with the rise of online learning, Learning Analytics (LA) emerged as a separate research field for collecting and analyzing learners' interactions on online learning platforms.
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 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 Software Process Dashboard Project is an open-source initiative to create a PSP(SM) / TSP(SM) support tool.
We feel that the PSP and the TSP are remarkable technologies that can change the face of the software industry, and we share the SEI's zeal to promote their widespread use. We feel that a freely available, powerful support tool could help to remove one of the most significant barriers to PSP / TSP adoption. We therefore aim to develop a world-class tool under the open-source model, and distribute it freely to anyone using the PSP and/or TSP. We feel that this is the least we can do to thank the SEI for developing and distributing these remarkable processes.