Educational institutions are grappling with the implications of artificial intelligence (AI) usage among students. Clay Shirky, NYU’s vice provost for AI and technology in education, advocates for a return to traditional assessment methods, such as in-class blue book essays and oral exams. His proposal arises from concerns that students misuse AI to complete assignments without genuine effort, undermining learning. Current AI detection tools yield unreliable results, prompting the need for innovative assessment strategies. Shirky argues that a shift towards real-time evaluations could foster deeper engagement, recalling medieval educational practices where oral instruction took precedence over written assignments. Some educators are also using AI, which has drawn student criticism, like a Northeastern University senior’s tuition refund demand over AI-generated lecture notes. As AI becomes integral to academic life, it sparks mixed reactions, highlighting a pressing need for clear guidelines and proactive engagement from educators to navigate this technological shift responsibly.
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