Rethinking what we measure


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WE are living in a time of rapid technological transformation, and few developments have made as big a splash in education as generative artificial intelligence (AI). But this shift is not just about new tools, it is changing the very fabric of how we teach, learn, and assess. And nowhere is that more apparent than in how we evaluate students.

At first, many educators saw generative AI as a threat. Students could use it to write papers, solve problems, or generate code. The fear was clear: If a student can outsource their work to AI, how do we evaluate what they actually know?

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