AI detection products cannot produce output to reliably destinguish between an AI generated text and one written by a human, and they reflect biases (for example more often flagging non-native speaker texts — see also my recent post about the “GenAI writes like me” post). We’ve known that for a while now, so why summarize […]
I was listening to an episode of “dead ideas in teaching and learning” on my walk back from dipping this morning (now you can really see that fall has come!) and I really enjoyed it and can well imagine using as at “recommended listening” to prepare participants for workshops on AI and/or assessment.
I have such a backlog of wave watching pics that I really need to blog more… Two articles today, the first one on “Students’ Perceptions of Self and Peers Predict Self-Reports of Cheating” by Henslee et al. (2025). I really enjoyed reading about Ellis & Murdoch (2024)’s educational integrity enforcement pyramide recently, but that’s a […]
I just read this really interesting and important article about “assessment for inclusion, which seeks to ensure diverse students are not disadvantaged through assessment practices” by Tai et al. (2022). Traditional assessment practices often discriminates against people in so many different ways that I had not really carefully considered before.
When Rachel writes she agrees that an article is brilliant and important and a ’must read’ for anyone in higher ed involved in/concerned about academic integrity and assessment security, guess I have to read it…
