Students do not usually need a list of AI tools. They need answers to a specific set of anxious questions about using them, most of which get answered badly by both the enthusiasts and the scolds.
So this is those questions, answered directly. The tools barely matter; the answers below apply to whichever one your friends are using this term.
“Will I get caught?”
Possibly, but probably not by the software, and that cuts in an uncomfortable direction.
Researchers at Stanford ran essays written entirely by humans through seven AI detectors and published the results in Patterns: essays by non-native English speakers were flagged as AI-generated at an average rate above sixty percent, while essays by US students were mostly classified correctly.
What does catch people is conversation. A tutor asking why you structured the argument that way, or what you cut from the first draft, gets an answer from someone who did the work and silence from someone who did not.
“Where exactly is the line?”
Your institution’s policy governs, and they differ. As a rough map of where most land:
| Generally fine | Usually needs declaring | Usually not allowed |
|---|---|---|
| Explaining a concept you did not follow in the lecture | Restructuring your own draft | Generating text you submit as written by you |
| Generating practice questions | Translation assistance | Producing citations you have not read |
| Checking your reasoning against a counter-argument | Summarising sources you then read | Anything in a closed assessment |
The middle column is where most trouble happens, because it feels like the left column while your marker files it under the right.
Photo by Kit (formerly ConvertKit) on Unsplash
“Does it actually help me learn, or am I fooling myself?”
Both, depending on the order you do things in.
Reading a generated explanation produces a strong feeling of understanding and weak retention, because recognition is not recall. The version that works puts your effort first: attempt the problem, get it wrong, then ask why. The struggle is the part that encodes, and skipping to the answer removes it while leaving the sensation of having learned.
“What about citations it gives me?”
Treat every one as unverified until you have opened it. Fabricated references that look entirely plausible, with real-sounding authors in real journals, are a well-documented failure of these systems, and a bibliography containing a source that does not exist is worse for you than a shorter one.
If your sources are already in hand, a tool that answers only from documents you supply sidesteps the problem entirely rather than mitigating it. That approach is covered in How to Use NotebookLM.
Photo by Yanhao Fang on Unsplash
Reading a generated explanation produces a strong feeling of understanding and weak retention.
“Everyone else is using it, am I disadvantaged?”
Less than it feels. Generated work converges on the same competent, unremarkable middle, and markers reading thirty submissions notice the sameness even when no individual piece looks wrong.
The genuine advantage is not access to the tool, which everyone has. It is having something specific to say, which the tool cannot supply because it does not know your reading, your seminar argument or the thing you found confusing at two in the morning.
Photo by Zoshua Colah on Unsplash
“So what should I actually use it for?”
- As a tutor who never gets impatient. Ask the same question five ways at midnight. This is the strongest use case and nobody objects to it.
- As an examiner. Hand it your draft argument and ask for the strongest objection.
- As a question generator. Practice retrieval instead of rereading notes, which is one of the better-supported study methods.
- As a translator of academic prose. Getting a dense paper into plain language before reading the original properly.
What connects those: none of them produce text you submit. That is the line that keeps you safe and is also, awkwardly, where the actual learning benefit sits.
FAQ: Frequently Asked Questions
Can teachers detect AI writing?
Detection software is unreliable, with published false-positive rates above sixty percent on human writing by non-native speakers. Teachers detect it more effectively by asking about your process.
Is using AI for homework cheating?
It depends on your institution’s policy and on what you used it for. Understanding a concept is generally fine; submitting generated text as your own is generally not. Check the policy rather than the norm among friends.
What if I get falsely accused?
Keep drafts, version history and notes as you work. A document history showing the piece being built over time is the strongest response available, and it costs nothing to have.
Which AI tool is best for students?
Whichever you will use consistently. The differences between the main assistants are small next to the difference between using one as a tutor and using one as a ghostwriter.
Academic policies vary by institution and course and are the authority here; this is general guidance rather than a substitute for your own department’s rules.