ChatGPT for studying: what works, what doesn’t, what gets you in trouble
I’ve been using ChatGPT as a study tool for two semesters now and I’ve figured out where it actually helps and where it falls flat or gets you into trouble.
What actually works great:
Explaining concepts in different ways: If a textbook explanation doesn’t click, asking ChatGPT to explain the same concept using an analogy or at a simpler level has been incredibly helpful. It’s like having a tutor available 24/7.
Practice problems: I ask it to generate practice questions for upcoming exams. It’s especially good at this for STEM subjects. “Give me 10 practice problems on integration by parts, starting easy and getting harder.”
Flashcard generation: I feed it my lecture notes and ask it to create flashcards. Saves hours of manual work.
Explaining errors: When I get a problem wrong, I paste my work and ask “where did I go wrong?” It’s usually good at spotting calculation mistakes.
Where it falls flat:
Anything requiring current information: ChatGPT’s knowledge has a cutoff. For current events, recent research, or up-to-date statistics, it’s unreliable.
Complex math: It makes calculation errors frequently, especially with multi-step problems. Always verify the math independently.
Nuanced arguments: It gives you a “textbook” answer that covers all sides but lacks the depth or originality professors want in essays.
What gets you in trouble:
- Using it to write anything you submit. Even “just for ideas” can lead to accidentally copying its phrasing.
- Citing sources it generates. ChatGPT makes up citations. Always verify in Google Scholar.
- Relying on it instead of actually learning the material. You’ll get destroyed on in-class exams.
My rule of thumb: use ChatGPT to UNDERSTAND concepts, not to PRODUCE content. The difference matters.
What’s your best ChatGPT study hack?
The tip about not citing ChatGPT sources is SO important. I almost submitted a paper with three made-up citations because I trusted it. Always verify in Google Scholar.