Even though I have nothing to do with health education whatsoever, this article really sparked my interest. Osborne et al. (2026) “highlight the importance of recognising that any aspect of curricula which explore human experience may overlap with students’ lives“, and that should be the case also in all of my teaching (see my thoughts […]
We like to think of the educational system as a meritocracy, where people are rewarded and advanced purely based on their performance, but at the same time most people know that it is not. In my own work we have looked at first-generation students, students whose parents have not been in higher education, and I […]
There is a youtube channel that I have recently discovered that I love and just have to share after I found myself looking at the view in the featured image, talking on the phone with my friend about the channel: A former game designer, Marie-Jo Leroux, now gives advice on effective gamification of learning in […]
There is a “study out of MIT” that somehow absolutely dominated my LinkedIn feed a couple of weeks ago (the source really typically given as “study out of MIT” or very similar, so I had to do some digging to find it! But maybe the clue should have been in the missing citation already…). Anyway, […]
In the context of mental health and higher education, who has a duty to care and what does care even mean? Byrom et al. (2026), in “Responsibility and other dangerous ideas: who cares, who can, and who should in higher education“, distinguish three ways to approach care:
Suter et al. (2026) argue that given the urgent need for action against climate change (and seeing that pretty much all available research shows that it doesn’t influence researchers’ reputation or credibility to be activists and scientists, those are not excuses!), more people should combine activism with at the same time figuring out what works.
In the preprint “How AI impacts skill formation” by Shen & Tamkin (2026), study participants are learning a new Python library either in a control condition or with an “AI assistant”, and researchers observe how the participants prompt AI during learning and measure completion times and quiz scores after learning. They find that “AI-enhanced productivity […]
I see statistics on social media every day about 1 in 3 young people who say that there are topics they talk about with an AI but not with another human. And almost all our students report that they use AI for learning, because they aren’t being judged, they don’t feel like they are bothering […]
How do we teach for sustainability when the class is huge and there is a lot of content to be covered? One really nice example is described by Monger (2022), who is “teaching oceanography by engaging students in civic activism“.
My friend Torge (who I had a super exciting rotating tank experiment project with, “Dry Theory 2 Juicy Reality“, check it out!), sent me the picture above and asked whether I had any idea what was happening there. I had not. But I had to find out! (Sorry to everybody else who wanted something from […]
We want new engaging web content for the Inclusive LU project, and I wanted to try how easy it really is to use AI for coding (turns out: very!), so I have built a page that — at first glance — looks exactly like this post, but when you hover different sections, things start happening. […]
When browsing Zeivots et al. (2026)’s article “Assessment design through co-design: reimagining assessment design practices in higher education“, one sentence caught my eye: “Students could see how their input mattered without the expectation that every suggestion would be enacted“. Since I am currently really interested in partnership and negotiations there, I then had to read […]
This morning, I ran a workshop for university teachers called “Teaching for Sustainability: Practicing for a sustainable future through sustainable pedagogies“. You can look at all the slides here, or see some of them below together with a quick summary of what I said about them. Most of what I am writing below I have written […]
Intriguing title! Lodge et al. (2023) discuss a “quadrant typology of human and machine interactions for education” with the two axes individual-to-collaborative and extending-to-offloading. Calculators fall into “cognitive offloading“, meaning it’s individual and offloading.
I have been thinking a lot about what platform to host our MOOC on and how that decision locks us into a lot of things, for example to certify completion of the course and with that requirements to use quizzes and peer-review, but also more generally the ways in which participants can interact, can navigate […]
I keep coming back to Karen Costa’s question “What if the critical #AI skill for our era is not how to use it, but how to resist it?” In the Poulidis et al. (2025) chess study, 40% of those who learned with AI and could press a button to get help said that in hypothetical […]
I am still on the “tyranny of participation” trip, this time reading about students’ experiences in peer discussions and inequities in roles that students take on in those discussions. Generally, we assume that students learn through peer discussions, but we also know that not all students learn equally in that format. What are the barriers […]
