As learning analytics continues to rise up the agenda in the corporate learning & development (L&D) sector, one thing is becoming glaringly apparent: we should not expect a one-size-fits-all, off-the-shelf approach to learning analytics. This is a specialist discipline that cannot be bottled up into a single product. Sure, there are products such as Knewton, a Product as a Service platform used to power other peoples’ tools. There are also LMS bolt-ons like Desire2Learn Insights or Blackboard Analytics but even they are not sold as off-the-shelf products, for example the Blackboard team “tailors each solution to your unique institutional profile”. There are just far too many organisational factors at play for an L&D practitioner to be able to implement a learning analytics programme using an off-the-shelf tool.
What a learning analytics platform looks like
An example of one platform (not a commercially available product but probably the most advanced learning analytics platform I’ve yet seen) is the Open University’s OU Analyse platform. They demonstrated this at MoodleMoot UK and Ireland recently. The product is very geared to the OU’s own Moodle-based VLE and as such is built to answer their own questions. This predictive analytics platform analyses demographic and course data from their own VLE with a view to predicting which students are likely to fail. Tutors have a login to the system and can use the dashboard tools to determine which learning interventions to recommend to a student in order to get them back on a path to success.