Encouraged by some thinking about what sort of prototype resource usage tools we want to build to test with users in a forthcoming ‘New tools’ section I’ve been starting to think about what sort of features you could offer to library users to let them take advantage of library data.
For a few months we’ve been offering users of our mobile search interface (which just does a search of our EBSCO discovery system) a list of their recently viewed items and their recent searches. The idea behind testing it on a mobile device was that giving people a link to their recent searches or items viewed would make it easier for people to get back to things that they had accessed on their mobile device by just clicking single links rather than having to bookmark them or type in fiddly links. At the moment the tool just lists the resources and searches you’ve done through the mobile interface.
But our next step is to make a similar tool available through our main library website as a prototype of the ‘articles I’ve viewed’. And that’s where we start to wonder about whether the mobile version of the searches/results should be kept separate from the rest of your activities, or whether user expectations would be that, like a Kindle ebook that you can sync across multiple devices, your searches and activity should be consistent across all platforms?
At the moment our desktop version has all your viewed articles, regardless of the platform you used. But users might want to know in future which device they used to access the material maybe? Perhaps because some material isn’t easily accessible through a mobile device. But that opens up another question, in that the mobile version and the desktop version may be different URLs so you might want them to be pulled together as one resource with automatic detection of your device when you go to access the resource.
With the data about what resources are being accessed and what library web pages are being accessed it starts to open up the possibility of some more user-centred use of library activity and analytics data.
So you could conceive of being able to match that there is a spike of users accessing the Athens problems FAQ page and be able to tie that to users trying to access Athens-authenticated resources. Being able to match activity with students being on a particular module could allow you to push automatically some more targeted help material, maybe into the VLE website for relevant modules, as well as flag up an indication of a potential issue to the technical and helpdesk teams.
You could also contemplate mining reading lists and course schedules to predict when there are particular activities that are scheduled and automatically schedule pushing relevant help and support or online tutorials to students. Some of the most interesting areas seem to me to be around building skills and using activity (or lack of activity) to trigger promotion of targeted skills building activities. So knowing that students on module X should be doing an activity that involves looking at this set of resources, and being able to detect the students that haven’t accessed those resources, offering them some specific help material, or even contact from a librarian. Realistically those sorts of interventions simply couldn’t be managed manually and would have to rely on some form of learning analytics-type trigger system.
One of the areas that would be useful to look at would be some form of student dashboard for library engagement. So this could give students some data about what engagement they have had with the library, e.g. resources accessed, library skills completed, library badges gained, library visits, books/ebooks borrowed etc. Maybe set against averages for their course, and perhaps with some metrics about what high-achieving students on their course last time did. Add to that a bookmarking feature, lists of recent searches and resources used, with lists of loans/holds. Finished off with useful library contacts and some suggested activities that might help them with their course based on what is know about the level of library skills needed in the course.
Before you can do some of the more sophisticated learning analytics-type activities I suspect it would be necessary is to have a better understanding of the impact that library activities/skills/resources have on student retention and achievement. And that seems to me to argue for some really detailed work to understand library impact at a ‘pedagogic’ level.