Ed/Tech must-reads 110225

2025 AI in Higher Education Symposium Australia & New Zealand from Uni of Sydney

Well the Sydney Uni AI in Higher Education symposium ANZ is rapidly becoming a big deal in the AI/education space, with 60 presentations last Friday highlighting the diversity and ingenuity of work that is going on in Australasia. Massive kudos to Danny Liu and the whole organising team (it would be a major endeavour and a lot of people will be working behind the scenes) and while the recordings aren’t out yet, stay tuned. The program is online at least, offering a glimpse of where we currently are.

A social sciences and humanities reading list on AI in education from Ben Williamson (Bluesky)

For those of us in the social sciences and humanities - but really, everyone - this is a handy list of recent publications on the critical side of ed tech. The articles range across racialisation, the impact of industry groups, the university as a service, and repackaging authority. Not necessarily super useful in the classroom but nice to consider bigger issues.

Generalising the impact of lecture capture availability on student achievement: A method and its application from AJET

Emily Nordmann shared this 2022 paper on LinkedIn recently from a couple of Canberran researchers and it is an interesting journey into developing metrics to compare the benefits of time spent in (physical) lectures versus watching lecture recordings. Spoilers, you need to watch the recording 1.4 times as long as spending time in a physical lecture (Commerce) to get the same benefits, according to Freyens & Gong. There was no discussion about whether students with video rewatched sections, skipped ahead, watched a 2x speed, paused for note-taking, etc and the convoluted mathematical calculations that they are trying to apply to something as human as learning make me wonder but it’s an interesting enough line of exploration.