#higher-ed

Concepts exploring "higher-ed"

Prompting Literacy as Digital Divide

Even with equal access to AI tools, the meta-skill of knowing how to prompt effectively creates second-order inequality — and this skill is distributed along familiar lines of privilege

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Academic-to-Industry Pipeline

Researchers trained in universities leave for industry labs; industry funds university research. This flow shapes what gets studied, who benefits, and whether public interest is served.

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Curricula Lag

Academic programs take years to update; AI capabilities change in months. This temporal mismatch means education may be preparing students for a world that no longer exists.

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Ethics Education for Practitioners

CS programs increasingly include ethics courses — but do they actually change behavior? The gap between ethics education and ethical practice.

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Faculty Autonomy vs Institutional Policy

Who decides whether AI is permitted in classrooms — individual faculty or institutional policy? The tension between academic freedom and coherent institutional response.

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Land-Grant Mission in AGI Era

Public universities were created to democratize knowledge and serve public good. What does that mission mean when knowledge work itself is being automated?

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Publication vs Responsible Disclosure

Academic incentives reward publishing capabilities and findings; safety considerations might counsel restraint. When does openness become recklessness?

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Red-Teaming as Pedagogy

Adversarial testing as educational method — students learn both offense and defense by trying to break systems, with implications for AI safety and security education

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Slow Institutions Fast Technology

University governance operates on semester and academic year cycles; AI development operates on weeks and months. This temporal mismatch creates structural adaptation failures.

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Teaching Critical Evaluation of AI

Students need to know when to trust, when to verify, and when to reject AI outputs — but who teaches this, and how?

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The AI Tutor Promise

Personalized learning at scale is now possible — but what's lost when the Socratic dialogue is with a machine? The educational potential and relational limits of AI tutoring.

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The Assessment Crisis

How do you evaluate learning when AI can perform the task being assessed? What are we actually measuring, and what should we be measuring?

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The Practitioner-Critic Tension

Should universities train students to build AI, to critique it, or both? The skills for construction and criticism are different, and the tension is unresolved.

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