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OK, trying an experiment with my Programming Languages class!

• Have an AI generate some of your writing assignment.
• Critique its output. Call BS on its BS.

Assignment details in screenshots below. I’ll let you know how it goes.

(Here are the links from the screenshots:)

Raw AI Text:
https://gist.github.com/pcantrell/7b68ce7c5b2e329543e2dadd6853be21

Comments on AI Text:
https://gist.github.com/pcantrell/d51bc2d4257027a6b4c64c9010d42c32

(Better) Human Text
https://gist.github.com/pcantrell/f363734336e6063f61e451e2658b50a6

#ai #chatgpt #education #writing #highered
#swift #proglang

This entry was edited (1 year ago)
in reply to Paul Cantrell

Early returns are promising. Students got into the activity. Discussion took over half the last day of class.

This is a Programming Languages class, and discussion took an interesting turn: how would •languages• change in a world where we expect AI code generation to be a normal part of the development process, and the problem for humans shifts (even further) away from “How do I generate code?” and toward “Does the code I’ve generated actually do what I think? What I want?”
#proglang #ai

This entry was edited (1 year ago)
in reply to Paul Cantrell

My favorite outcome so far: a student remarked (paraphrasing here) that she didn’t realize how much she had to say in her paper until she saw how wrong the AI was, how much it missed the point.

Observing her own reaction to BS about her topic made her realize she’d underestimated the extent of her own newly-forming knowledge. That…that is the sort of outcome an educator dreams of.

#ai #chatgpt #education #writing #highered

This entry was edited (1 year ago)