Measure don’t count

A blurred abacus with black, dark blue, and light blue beads, overlaid with bold black text reading “MEASURE DON’T COUNT.”

I’m a big fan of Dr Phillipa Hardman’s newsletter, especially when my confirmation bias is filled with her comments.

Yesterday she wrote about AI agents and how they are completing elearning. Within her piece Hardman says:


In the agentic AI era, quizzes and completion metrics will give way to AI-powered competency mapping. Rather than assessing immediate recall, we will like see a shift towards continuous skill verification through:
Behavioural analytics: Tracking decision-making patterns in both simulated and real environments.
Work product analysis: AI evaluation of authentic artefacts like code repositories or design portfolios.
Collaborative validation: Peer review systems augmented by AI quality control.

The Great Online Learning Reset?

I’ve been banging on about outcomes and impact being central to our approaches in learning for ages. What stands out is how demonstrating performance will be the yardstick to which we should be measured. It’s about real environments, peer review and performance focus. If not, you will be – as I’ve said before – a cost centre only.

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