Learning Analytics

11 February 2019 at 8:02pm
In a workshop at last week's AMOSSHE conference, we discussed how wellbeing analytics might be able to assist existing Student Support services.
7 February 2019 at 2:35pm
Earlier this week I did a presentation to a group from Dutch Universities on the ethics work that Jisc has done alongside its studies, pilots and services on the use of data.
12 December 2018 at 1:34pm
With the GDPR having now been in force for more than six months, my talk at this week's EUNIS workshop looked at some of the less familiar corners of the GDPR map. In particular, since EUNIS provided an international audience, I was looking for opportunities to find common, or at least compatible, approaches across the international endeavours of education and research. Topics covered: What is a University? Network and Information Security; Research; Learning Analytics; Intelligent Campus; and Wellbeing.
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:
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