Ed/Tech must-reads 260825

Sometimes almost everything is just a bit dumb

Picard with head in hand

Classic Captain Picard facepalm

The Guardian presents the latest in their long-running series about why some particularly vocal students and lecturers think all changes to traditional (outdated) HE teaching practice are horrible. (So I guess it is probably not a must-read, per se)

In this article, we learn that Grammarly is claiming that their new AI functionality can predict student grades informed by publicly available material about the lecturer and what kind of grader they are. They are also providing an AI detector and a bunch of extra tools that will free students from the benefit of having to learn how to do anything that adds to their skills or knowledge. (Yes, I’m aware I could just not read these articles but why does everything have to be so dumb all the time?)

What's In Your Statement? from AI + Education = Simplified

Ok, returning to things that make me weirdly happy - policies and procedures. A hopeful beacon that somewhere, somebody has thought carefully about the implications of GenAI in education from all angles and is offering gentle guidance. Lance Eaton shares a growing collection of syllabi AI policy statements gathered since 2023 - now up to 180+. I can’t say that I’ve read them all but they are helpfully sorted by discipline area and I see some familiar names in there like Donna Lanclos, Ethan Mollick, and Kelly Matthews (upcoming keynote at the 2025 ASCILITE conference) so I take some confidence from that.

At more of a macro level, Niklas Humble shares an analysis here of Swedish university policies about the use of GenAI in education (and beyond). It is synthesised into a proposed model for aligning policy with practice across strategic, pedagogical, ethical and operational domains and provides some rather sensible recommendations.

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