Using learning analytics in personal tutorials: breaking into students’ consciousness

The last post was about some of the psychological hurdles that we need to overcome in order for students to realise that they need to change and the one before about the importance for tutors of relationship building and setting short term goals. This short piece is about how the use of learning analytics data …

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Personal Tutoring: strategies for changing student behaviour

Interview with Janette Alvarado-Cruz (@JanetteValezka) July 2019The interview explored issues of strategies for tutors advising students who appeared to be at risk of dropping out or failing to achieve their potential. These questions are core to the OfLA Erasmus+ Project: what do we do from the point where learning analytics (LA) have identified that a …

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Diagnosing student ‘risk’: categorising learning analytics to prevent early withdrawal

Universities are awash with data about students that could function as early warning signs that a student may need help. These data sources range from the highly personal, for example tutors observing that a student appears to be having a bad day, to the highly systematised, for example automatic early warnings based on a metric …

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