I teach computer science / programming, and I don't know what a good AI policy is
I teach computer science / programming, and I don't know what a good AI policy is. On the one hand, I use AI extensively for my own learning, and it's helping me a lot. On the other hand, it gets work done quickly and poorly. Students mistake mandatory assignments for something they have to overcome as effortlessly as possible. Once they're past this hurdle, they can mind their own business again. To them, AI is not a tutor, but a homework solver. I can't ask them to not use computers. I can't ask them to write in a language I made the compiler for that doesn't exist anywhere, since I teach at a (pre-university) level where that kind of skill transfer doesn't reliably occur. So far we do project work and oral exams: Project work because it relies on cooperation and the assignment and evaluation is open-ended: There's no singular task description that can be plotted into an LLM. Oral exams because it becomes obvious how skilled they are, how deep their knowledge is. …
Original discussionTrying to teach in the age of the AI homework machine649 source comments · at import