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Contemporary Issues Core Theory Key Insights

AI as the New Adjunct: What Machines Can and Cannot Teach

Generative AI will grade, draft, and drill. It is efficient at repetition and indifferent to meaning. This essay distinguishes drill from education: machines can assist practice; they cannot bestow judgment. […]

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Contemporary Issues Core Theory Key Insights

University Rankings as Fiction with Consequences

Rankings are stories about data that became rulers of institutions. Their categories are not neutral; they shape resource flows, admissions, and policy. I unpack how indexes colonize internal decision-making, then […]

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Contemporary Issues Core Theory Key Insights

When Research Eats Teaching: The Metric That Devoured the Classroom

Universities say teaching matters, but incentives say otherwise. Publication counts, grant revenue, and rankings convert attention away from pedagogy. This piece documents how organizations become what they measure and offers […]

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Contemporary Issues Core Theory Key Insights

The Student-as-Customer Paradox: Satisfaction Is Not Learning

Customer satisfaction surveys are seductive, but learning is often uncomfortable: it asks for contradiction, delay, and disciplined doubt. Treating students as customers cancels the educator’s duty to disappoint strategically—grading, standards, […]

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Contemporary Issues Core Theory Key Insights

Universities Are Not Platforms: Why Education Resists the “Like” Button

Platforms reward attention; universities are supposed to reward knowledge. When attention metrics govern curricula, we outsource academic judgment to the crowd. This piece explains why course design that chases engagement […]