For years, we’ve been told that education systems need to be more “resilient”. Resilient curriculum. Resilient assessment. Resilient students. In a world of AI, that sounds reassuring, but it quietly sets the wrong ambition. Resilience, in the way we usually use it, means being able to withstand shocks and stay the same. The problem is that AI is not a one‑off storm. It is a permanent change in the climate.

UbD (Understanding by Design®) encourages teachers to design authentic performance tasks: essays, presentations, podcasts, investigations, portfolios, prototypes, and other complex responses that make big ideas visible. But when that work has to be judged, the system often falls back on tools and habits better suited to narrower, more standardised forms of assessment.

Walk into a medieval guildhall and a modern AI lab and, on the surface, they could not be more different. One smells of timber, leather and metal; the other of coffee and electronics. Yet both are wrestling with the same underlying question: how does a community grow and protect its shared sense of what “good” looks like – and keep that sense of quality alive when everything around it is changing?