> For example, students may use LLMs to complete written assignments, leaving instructors unable to accurately assess student learning.
I'm one student using GPT to write my written assignments, and I cannot understand what is the issue with that. Even though it enhances the quality of my text, I cannot just copy, paste, submit and profit. I still have to understand what is being written. My workflow is normally the following:
- I ask for an outline to the essay. I use this outline as guide, remove some suggestion, add others that I think are important, rephrase some. I could as well google for similar written essays and do the same.
- Then I ask for the topics, please describe X, Y.. I read it, as a regular source. I understand it, and rewrite it. I add stuff, remove stuff, add references. Normally I endup rewriting everything
- Push the text through Grammarly, rephrase some stuff, check for plagiarism and submit it. I have to read and re-read it, many times.
I have the impression that I've got much more effective avoiding the mechanical part of the task of writing. In another hand my course has some stupid enforcement like 15k words/essay. So they are almost asking me to do some bullshit around the topic instead of going straight to the point. I simply automate the burden. As any software developer would do. I however study philosophy.
So i guess, it will help the universities and education institutions to rethink their traditional way of evaluate written assignments, which probably will be positive. It helps me definitely to write better.