What happened
Simon Willison wrote that AI clearly means educators need to change how they teach and evaluate students, but it is still extremely unclear what effective teaching with these tools looks like.
Why it matters
Willison argues that because the evaluation loop is measured in multiple years, students effectively all become guinea pigs for untested new ways of learning and teaching.
Summaries like this, every morning.
Simon Willison's post captures a bind that educators face right now. AI clearly means teaching and evaluation must change, but Willison stresses that it is still extremely unclear what effective teaching with these tools looks like. The difficulty is compounded by timing: the evaluation loop is measured in multiple years, so a new mechanism tried today won't yield a robust answer until the current cohort graduates in 3-6 years time. Willison's conclusion is that students effectively all become guinea pigs for untested new ways of learning and teaching.
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