February 23, 2017

Computer science education done right: A rookie’s view from the front lines at Princeton

In many organizations that are leaders in their field, new inductees often report being awed when they start to comprehend how sophisticated the system is compared to what they’d assumed. Engineers joining Google, for example, seem to express that feeling about the company’s internal technical architecture. Princeton’s system for teaching large undergraduate CS classes has had precisely that effect on me.

I’m “teaching” COS 226 (Data Structures and Algorithms) together with Josh Hug this semester. I put that word in quotes because lecturing turns out to be a rather small, albeit highly visible part of the elaborate instructional system for these classes that’s been put in place and refined over many years. It involves nine different educational modes that students interact with and a six different types of instructional staff(!), each with a different set of roles. Let me break it down in terms of instructional staff responsibilities, which correspond roughly to learning modes.
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