This kind of an odd article about the use of student data to predict well-being and prompt student support interventions. I look at this thinking about the use of 'massive' amounts of data (far more than the 800 data points mentioned here) to predict something as hand-wavy as 'well-being'. But hey, "The project successfully proved that it is possible to predict a student’s wellbeing with significant accuracy to add operational value to student support models of intervention." So, I don't actually believe that, but it doesn't matter, because David Kernohan says "Accuracy – in many ways – isn’t the point" and then insists "Wellbeing analytics are not the answer to student mental health support." One would think that if they were accurate they would be important. Anyhow, all of that is moot - it should hardly be up to the university to make itself responsible for a person's well-being (whatever that is). There should be a range of services and programs available to the general population, not just those able to afford tuition. (Also: I think well-being should have a hyphen).
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