Living the interface between learning analytics and actual change in a HE setting
So using the principle of blogging as a back up for memory, here is a short explainer about the learning analytics platform used at my institution, Nottingham Trent University. It's an attempt to introduce the resource as clearly as possible. It's meant to be a short intro, so writing a long intro starts to feel …
Continue reading The NTU Student Dashboard – a brief explainer
In the Student Retention Research: A History Lesson I discussed the role that Mantz Yorke and Bernard Longden played in developing the field of understanding student persistence in the UK. I really value their model explaining student withdrawal (partly because they use the word 'adventitious'). They suggest that the reasons for withdrawal can be categorised into four groups: …
Continue reading The first year experience of higher education in the UK, Yorke & Longden (2008)
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 …
Continue reading Six essentials institutions need to get right to implement learning analytics
As a child in the 1980s I read a lot of comics. Well I read a lot of 2000AD. Spiderman, Batman etc., didn't really appeal. Homegrown, punky, weird sci fi suited me far better. Alongside Judge Dredd and other hardbitten heros was a quirky series known as Future Shocks (imagine Black Mirror but in a …
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 …
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 …
Continue reading Grab bag of papers on Student Success Early Warning Alerts
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 …
Continue reading Male Access and Success in Higher Education
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 …
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) …
Continue reading Changing student behaviour: heuristics and other psychological barriers
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 …
Continue reading Personal Tutoring: strategies for changing student behaviour
Living Learning Analytics Blog 