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sites/vibes/src/content/reflections/teaching-philosophy.md
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title: "On Teaching Algorithms: Lessons from a Decade"
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description: "Reflections on what works (and what doesn't) in computer science education."
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pubDate: "Jan 10 2024"
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image: "https://images.unsplash.com/photo-1509062522246-3755977927d7?w=400&auto=format&fit=crop&q=60"
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authorImage: "/avatar/avatar1.png"
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authorName: "Neeldhara"
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---
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# On Teaching Algorithms: Lessons from a Decade
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Ten years of teaching has taught me more than any textbook could.
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## Start with Why
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Students don't care about O(n log n) until they understand why their code is slow. Real problems first, theory second.
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## The Power of Visualization
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Abstract concepts become concrete when visualized. Every algorithm should have a picture.
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## Failure is a Feature
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Let students struggle. The struggle is where learning happens. But know when to throw a lifeline.
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## Assessment Philosophy
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Test understanding, not memorization. Open-book exams with novel problems beat closed-book regurgitation every time.
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## The Joy of "Aha!" Moments
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There's no feeling quite like seeing a student's eyes light up when a concept clicks. That's why we do this.
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