New Relic is the only dashboard you need to keep an eye on application health and availability while monitoring real user experience. Complete visibility anytime you want it.
Everyone complains about not getting reliable data on student success, but no one does anything about it. Until now, write Mary Ellen Petrisko and John Etchemendy.
Presentation used by Tinne De Laet, KU Leuven, for a keynote presentation during an event: organised by Leiden University, Erasmus University Rotterdam, and Delft University of Technology.
The presentations presents the results of two case studies from the Erasmus+ project ABLE and STELA, and provides 9 recommendations regarding learning analytics
Learning data analysis can help you make important decisions about your eLearning content. But how are you going to collect this information and, most importantly, how are you going to use it properly?
This talk will explore connections between two emerging fields focused on harnessing the potential of data – learning analytics and quantitative ethnography.
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.
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.
Dashboard is a prominent artefact that users interact with when it comes to learning analytics. What is a learning analytics dashboard ? Who is it for? What is the key to effective adoption of learning analytics dashboard? Listen to Martin Hlosta and Fabio Campos sharing their experience in supporting the use of learning analytics dashboard on a large scale.
Zoola Analytics Dashboards can easily be embedded into your LMS for a seamless experience. Use drag-and-drop to customize dashboards exacty the way you want.
Learning analytics is hot. But are learning dashboards scalable and sustainable solutions for providing actionable feedback to students? Can learning dashboard be applied for feedback at scale? Is learning analytics applicable in more traditional higher education settings?
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.
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.
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.
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.
Improved user experience and first-of-its-kind data visualization aims to give higher ed administrators a clear look at lecture capture usage and student activity.
OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. All students with their risk of failure are available weekly 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.