Learning Analytics

27 September 2018 at 7:16am
An interesting observation made by a Dutch colleague earlier this week. The arrows in my standard model of learning analytics (here rearranged and recoloured to match the "swimlane" visualisation of the learning process) all mark "gatekeeper" points where information flow is filtered and reduced.
17 August 2018 at 11:28am
Recently I've been presenting our suggested legal framework for learning analytics to audiences involved in teaching, rather than legal people. For that I've been trying out a different visualisation, which considers the teaching process as involving three layers:
15 June 2018 at 2:41pm
Since there was a lot of interest in my keynote presentation at the EUNIS 2018 conference last week, this post collects together the slides and the blog posts that provide further analysis and discussion of the ideas:
31 May 2018 at 11:14am
Learning analytics dashboards, like the class mark books that long preceded them, show tutors a lot of information about their students. That could be pretty intrusive, so should universities and colleges be asking students to consent before tutors look at their data?
2 February 2018 at 9:30am
In thinking about the legal arrangements for Jisc's learning analytics services we consciously postponed incorporating medical and other information that Article 9(1) of the General Data Protection Regulation (GDPR) classifies as Special Category Data (SCD): "personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, or trade union membership, and the processing of genetic data, biometric data for the purpose of uniquely identifying a natural person, data concerning health or data concerning a natural person's sex life or sexual orientation" (mo
23 January 2018 at 11:26am
Reflecting on the scope chosen by Blackboard for our working group - "Ethical use of AI in Education" - it's worth considering what, if anything, makes education different as a venue for artificial intelligence. Education is, I think, different from commercial businesses because our measure of success should be what pupils/students achieve. Educational institutions should have the same goal as those they teach, unlike commercial settings where success is often a zero-sum game.
17 January 2018 at 3:54pm
One of the concerns commonly raised for Artificial Intelligence is that it may not be clear how a system reached its conclusion from the input data. The same could well be said of human decision makers: AI at least lets us choose an approach based on the kind of explainability we want. Discussions at last week's Ethical AI in HE meeting revealed several different options:
17 January 2018 at 3:56pm
Last week I was invited to a fascinating discussion on ethical use of artificial intelligence in higher education, hosted by Blackboard. Obviously that's a huge topic, so I've been trying to come up with a way to divide it into smaller ones without too many overlaps. So far, it seems a division into three may be possible:
5 January 2018 at 1:24pm
One of my guidelines for when consent may be an appropriate basis for processing personal data is whether the individual is able to lie or walk away. If they can, then that practical possibility may indicate a legal possibility too.
Subscribe to Learning Analytics