Universities should assess how students use AI
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In a recent op-ed, Simon Bradbury highlighted how universities can prepare future-ready graduates by focusing on learning agility and responsible use of AI. He suggests that universities should assess students' decisions, not just final answers. For instance, a student could submit a preliminary version of their work, then utilize AI for feedback, explaining the changes made.
Another task might involve comparing two AI-generated suggestions and defending the choice of one over the other. Following this, a brief oral presentation could gauge the student's understanding of their own work. These methods better reflect the reality of the modern workplace, where professionals employ AI tools while retaining responsibility for judging outputs, identifying flawed assumptions, and articulating their reasoning to others.
Ultimately, the most valuable graduate might not be the one who can rapidly produce AI-assisted answers. Instead, the individual who can justify why that answer merits trust could be the most beneficial asset.
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