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— AI as cognitive outsourcing: synthesis vs abdication
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Classroom Contents
Graduate School in the Age of AI - Professionalism and Critical Spatial Thinking
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- 1 — Course context + why talk about grad school expectations now
- 2 — Graduate student mindset: independence, ownership, seriousness
- 3 — Professionalism essentials: showing up, communication, reliability
- 4 — Post-COVID habits: accountability, boundaries, and “softened” norms
- 5 — What COVID normalized—and what feels unprofessional now
- 6 — AI as cognitive outsourcing: synthesis vs abdication
- 7 — COVID + AI convergence: distance, disengagement, instant answers
- 8 — Durable skills: presence, preparation, respecting others’ time
- 9 — Anticipating expectations: strategic thinking and self-direction
- 10 — Professional identity + ethos: who you are as a professional
- 11 — Critical thinking basics: universal intellectual standards
- 12 — Critical spatial thinking: map choices shape the story
- 13 — Percent vs raw counts in poverty mapping: avoiding misleading maps
- 14 — Election maps + ecological fallacy: showing nuance vs binary outcomes
- 15 — Takeaways: thinking like a professional + thinking like a spatial analyst