Student ‘Success’

Why use learning analytics? There are a number of potential reasons for Universities to invest in learning analytics (1): curriculum design, testing marketing effectiveness, insights into service provision etc, but for most institutions interest appears to be primarily about some form of student success. This may be about raising students' awareness of their own learning, …

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Making the Dashboard less accurate: probably the best decision we made about learning analytics

In 2013 we worked closely with the (then) tech start-up Solutionpath to build the pilot version of the Student Dashboard. Over a few months in the summer we went through a developmental process. Solutionpath built their proof-of-concept algorithm We shared multiple years of anonymised data and they used this data to see if the algorithm …

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Learning analytics: you should only have to think once

We've recently faced a difficult meeting with academics. Earlier in the year, we had a technical problem (a big reliability one) and now our academics are understandably far more critical of all aspects of the Dashboard. There were a number of overarching themes: There were too many different data points each requiring a decision There …

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Learning analytics: averages, actionability, granularity

The learning analytics resource we use (StREAM by Solutionpath) measures students' engagement with their course using the proxy of their electronic footprint. Whilst we can't measure what's going on in their heads, we can measure whether or not they have attended classes, logged in to the VLE, taken out a library book etc. The data …

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