Analysishigher educationgenerative aiungrading
Universities Reimagine Assessment Amid Generative AI
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6.8
Over the past five years, higher education institutions are confronting generative AI disruptions that expose the shortcomings of the 'knowledge factory' model, the author argues. The piece cites standardized assessments, large classes, and productivity-driven incentives as driving AI misuse and undermining deep learning. It recommends ungrading, dialogue-based pedagogy, open education, and care-focused teaching to restore meaningful student learning and resilience to AI.
Scoring Rationale
Strong systemic analysis with practical pedagogical alternatives, but limited empirical evidence and largely normative argumentation.
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