LRT Slides 20130122 BETT Analytics

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Learning analytics work at Manchester Metropolitan University between 2010 and 2012 summarised for a BETT 2013 Seminar

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LRT Slides 20130122 BETT Analytics

  1. 1. Emerging interest in learning analytics• Why? – Make better decisions• Examples – Choosing a new learning platform • Statistical analysis of learner demographics, VLE engagement and exam board outcomes identified important requirements for our new platform – Targeting an institutional change programme • Statistical analysis of NSS & internal survey (10,000+ respondents) identified importance of hygiene factors (course organisation: timetable, deadlines, etc) for overall satisfaction
  2. 2. Learning to interpret learning analytics• How? – Joining large datasets on common keys – Identifying predictive models of ranked factors using randomForest in R – Triangulating outcomes with qualitative data • Institution-wide student survey • Focus groups • Student Union ‘shout-outs’ and ‘Student Voice’ reports

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