The layout of many University web portals is not conducive to the application of standard web analytics, because they use a channel metaphor instead of a page metaphor. There portals can effectively be black holes into which all the potential intelligence about user activity disappears.
If you were to add your dream analytics solution to their University portal, what data would it record, how would you want to segment this, what KPIs would it use, and what reports and visualisations would it generate? What is the best approach to implementing such a solution in a portal framework like uPortal?
An example implementation at the University of Edinburgh, demonstrates how your portal can easily be turned into a goldmine of usage information, including tracking interactions with all portal content, whatever its origin, and segmentation of reports by a range of user attributes. Sample results demonstrate the business insight that can be gained by adding a powerful analytics solution to your portal.
by Russ Little
High Level overview of the Student Success Plan (SSP), a status update on the project, and a chance to see the new 2.x features including the new Academic Advising tools (MAP). SSP is a thriving project, and moving ahead with new features, implementations and actively building community. We invite you to come learn more about how technology can support student success, retention and completion.
The Open Academic Analytics Initiative (OAAI) has developed an open-source academic early alert system using Sakai and Pentaho, an open-source Business Intelligence tool, designed to identify students who are at risk to not complete their courses? successfully and then deploy an intervention intended to help the student succeed. The system includes a predictive model which has been released under an open-source license using a standard markup Language to facilitate use and enhancement by others. The system has been deployed to over 2200 students across four different institutions. Based on these pilots, research on critical scaling factors such as the ?portability? of such predictive models and success of intervention strategies has been conducted. Our presentation will update the community on this initiative and our latest research findings as well as discuss future work. A related BOF for those interested in working to expand this initiative will also be scheduled.
In this presentation, three universities -- University of Florida (UFL), University Pierre and Marie Curie (UPMC), and University Littoral Cote d'Opale (ULCO) -- will discuss their use of surveys and production server data to better understand how faculty and students are using their respective learning management systems. Each institution is unique, with different populations and programs. Learn how these universities conducted their research, what trends were discovered, and what actions the findings have motivated.
2nd–7th June 2013