Data Gathering• Ofﬁcial Sources, SIS, HR, Finance• Collaboration trails• Starving for raw data
Outsource by default• Nature abhors a vacuum• Order or Desire
Its Our Domain• Surprisingly deep• Borrow, beg, buy• Head start
The task ahead• Encourage Connections• Data gathering• Academic Apps
Encourage Connections Proﬁles Collaboration Groups ColleaguesPublications Sharing
Data Gathering Proﬁles Collaboration Groups Activity Data ColleaguesPublications Sharing
Sakai 3 App Proﬁles Publications Sakai 3 App Sakai 3 App Groups Sakai 3 App Colleagues Sakai 3 App Sakai 3 App Sharing Collaboration Sakai 3 AppSakai Apps Framework Sakai 3 App Sakai 3 App Google Gadget Academic Apps Google Gadget Google Gadget Gadget Activity Data Container Google Gadget
Improving Experience User Event Activity Records Enhanced Ofﬂine Data Analysis
Important Maxims• Unbiased Observations.• Original data.• Analysis without expectations• Uncertainty.
Example: Identifying Interests User authors Content content Created EventUser sees related Content created event, is pickedcontent, which authors up by a processor, analyses andare connected, which are categorises the content based onnot, offered to expand word used, generating links tonetwork of collaborators. similar content.
Example: Identifying Behaviour Usage And Normal Expectation Student A Activity throughout the system Student has been identiﬁed ashaving erratic engagement withpeers and the course. Mentors, alerted that there may be an underlying cause.
5 years hence• TL&R tools built to support the needs of the members of all institutions.• Increasing availability of data sets within institutions to further the understanding of TL&R.• Less resource spent on the mundane, more on the unique. Thank you - Questions ?