Category: Data

Examining Learning Experiences During COVID

Written in collaboration with Michael Sullivan Good morning, all.  Today’s blog is a collaboration with my colleague Michael Sullivan at the Strategic Counsel (with whom we at HESA Towers have been doing some joint projects over the past year or so) and it’s about the results of a new recently completed survey, which looks at students’ learning experiences since the start of this academic year.  It’s an interesting half-full half-empty story, but with some very important future implications. Figure 1

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Some Surprising Applications Data

Canada, as I think everyone is, on the whole, in the main, crap at educational data.  When it comes to getting up-to-the-minute data on things like enrolments and applications, we’re mostly hopeless, because everyone does their own thing and nobody bothers to make their data public or comparable until Statscan comes along 28 or months or so after the fact.  There are only two major exceptions to this: the Atlantic Association of Universities, which puts out a super-speedy enrolment check

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2018/19 Enrolment Data

Last Thursday was that frabjous day which every higher education nerd has pencilled into their calendar: where Statscan publishes post-secondary enrolment data and for one brief moment we go from having enrolment data which is 37 months out of date to a mere 25 months out of date.  Now, the big picture will be familiar to everyone who read The State of Post-Secondary Education in Canada, because I already went and got most of this data from institutional websites, but the

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Institutional Economic Impact Statements Part 2

Yesterday, we looked at how Economic Impact Statements are put together.  Today, we want to look at the uses and misuses of these statements. Let’s start by acknowledging that these statements are not primarily designed to be objective, academic analyses of impact.  Rather, they are political documents, meant to put an institution in a good light.  There’s nothing wrong with that, but it means that they need to be read with a certain eye.  Given the built-in incentive to exaggerate

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