Living the interface between learning analytics and actual change in a HE setting
The 2021/22 academic year was a bit of a surprise for the sector. Students were effectively released from the pressures of lockdown and social distancing and ended up more anxious, more confused and certainly less engaged than at the height of the COVID-19 pandemic. It may be that students were just catching up on two …
Continue reading Student attendance/ engagement policies – why do we bother?
The book I’ve found most challenging and rewarding recently is ‘Irrationality’. First written in 1992, the book both identifies significant flaws in the human thinking process and advocates for a more standardised scientific approach. It’s a good case. However, nearly 30 years later, we are living through the lived realities of that way of thinking: …
Continue reading Who traces the tracers? Algorithm Watch Report 2021
The reaction time of a typical human being is apparently 250 miliseconds. In other words, it takes us about quarter of a second to get out of the way of a speeding snowball, or catch the dropped vase. That stuff's easy - 1. Danger - 2. React - 3. Try not to look embarrassed when our response …
Continue reading “Wait for it!” – Problems using predictions to instigate COVID 19 lockdowns
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
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 …
In the first term of my first year, I skipped a seminar on DH Lawrence. My tutor, Dr Mara Kalnins, pulled me up at the start of the next seminar and politely expressed her disappointment. She also asked me to make up what I'd missed by reading about Carl Jung. I'm not sure that what …
Continue reading Five questions about learning analytics ethics
I have just taken part in a panel discussion at the Jisc Digifest 2019 event. The session was called Excellence from Analytics. I know that, as a panel, we all worried about whether we'd been informative (or excellent), but I found it really interesting to listen to the other panellists talk (perhaps not the point). …
Continue reading Excellence from Analytics: Panel Discussion at Digifest, 12th March 2019
I love this photo. It is of the Boulevard du Temple, taken by Louis Daguerre in 1838. It's possibly the first ever photo showing a human being. In the bottom left of the picture, there's a man having his shoes polished and the bootblack polishing them and, it appears to me that there might be …
Continue reading The first ever photo to feature a human being
I'm most of the way through Nate Silver's "The Signal and the Noise: the art and science of prediction" I'm really struck by the fact that as I'm reading, I'm learning new tools and reference points to critique our learning analytics work. It's quite possible that if I'd a background in social sciences, mathematics or computer …
Like the last post ('Everybody Lies'), Weapons of Math Destruction is written by a data scientist. However, there is a significant difference between the tone of the two texts. Seth Stephens-Davidowitz is clearly a bright guy, still fascinated with the potential of big data (although make no mistake, he can see the flaws and potential …
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