Six essentials institutions need to get right to implement learning analytics

Between 2015 & 2018, we worked alongside some brilliant colleagues in KU Leuven and Leiden University on the ABLE Erasmus+ Project. I think that we spent longer on learning analytics infrastructure and operations than we would have liked. However, doing so gave us really interesting insights into the challenges of implementing learning analytics. By the …

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The effectiveness of learning analytics for identifying at-risk students in higher education – an extra titbit

I've recently published a paper with a colleague Dr Rebecca Siddle for a special edition of Assessment and Evaluation in Higher Education, The paper explored the impact of 'no-engagement' alerts for identifying students in need of further support and contrasted it with using background characteristics. In this paper, we used widening participation status as a …

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Grab bag of papers on Student Success Early Warning Alerts

I'm working on a research project with one of our academic Schools. We already have a process where we use data from our learning analytics resource to conduct mid-term reviews. The idea of the review is that we identify students most at risk of dropping out and the School contacts them. We've always run this …

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Male Access and Success in Higher Education

In 2011, we wrote a short chapter for the then Higher Education Academy about one aspect of our HERE Project work: male student retention. It was probably far from ground-breaking, but it was quite important for helping us to think about some of the issues associated with student success. The data we looked at appeared …

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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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Changing student behaviour: some psychological barriers

I've said this before, but one of the problems with learning analytics is that it's still seen as a fundamentally technological project, not a psychological or pedagogical one. This post is an attempt to try and describe why changing student behaviour is so difficult. I'm going to start from the position that the Clow (2012) …

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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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Chaos theory from the perspective of the butterfly: learning analytics and change

In a recent discussion about how we help academics to use learning analytics, a very wise colleague made the point that we need to constantly remind them of the relationship between average engagement and success. This arose during a conversation about the accuracy of each individual alert raised. They can never be 100% accurate and …

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Learning from Learning Analytics: risky assumptions about the efficacy of feedback for learners

Presentation for the LALA Symposium: Learning Analytics for Feedback at Scale, Leuven, 1st July 2019 I've worked alongside very excellent colleagues at KU Leuven since 2015 on the ABLE and STELA Erasmus+ projects. I have really valued their opinions and expertise. So I was delighted to be invited by Tinne De Laet to present at a …

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