Category: Artificial Intelligence

Responding to Online Entrance Exam Cheating at UNAM

Higher education dominated the front pages of Mexico’s media for most of this past summer. The reason? Universidad Nacional Autónoma de México, the country’s largest, most prestigious, and selective institution, better known as UNAM, put its entrance exam online for the first time. 158,000 students took the exam, and the results, well, they weren’t good. As the exams were marked, it became evident that there were an unusual number of extremely high, near-perfect scores. Suspicions of cheating were naturally aroused.

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Back to School 2026

Welcome back everyone. It’s the Tuesday after Labour Day, and that means it’s time to start Blog Year 16 (gulp) with a look ahead over the next ten months or so. I’m looking at three very big themes. Let’s start with the one big piece of news over the summer that has the potential to overwhelm pretty much everyone: the release of the Report on Campus Antisemitism and Student Experiences. It’s not the world’s most sophisticated piece of analysis –

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Canada AI Strategy and Higher Education

Morning all. Today is a special blog to cover an important Ottawa policy development. Back in June, the Government of Canada released its National Artificial Intelligence Strategy, with the somewhat awkward subhead “AI for All”. Due to a packed blog schedule, I didn’t have time to really get to it. But now I can! So here goes: First, it’s not a real strategy, obviously. Ottawa-drafted strategies never are. Real strategies have a reasonably-well sketched out desired end-state and a theory

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Some Notes on Artificial Intelligence in Higher Education, May 2026

Today is just a quick round-up of recent news and trends re: artificial intelligence in higher education – hopefully one which is a bit different from the everything-is-awesome/everything-is-terrible style of think pieces that you often see on this subject. Artificial intelligence is having significant impacts in fields like astronomy and molecular biology, and large language models quite unexpectedly seem to be capable of making significant contributions to mathematics. In other fields, AI does not eliminate any steps in the research

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Overestimating in the Short Run

Nearly fifty years ago, California futurist Roy Amara coined a widely quoted adage on the subject of technological change. It says: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” This is a quote very much worth keeping in mind when it comes to thinking about how higher education should react to the growth of artificial intelligence and, in particular, how we grapple with educating students for an

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