One line from an r/studytips thread is worth repeating: "How you use AI depends on how you will be evaluated." It sounds obvious, but many students study the same way for every exam: ask for a summary, read it, move on. The better rule is to practise in the same way you will be tested. This guide shows how to apply that with AI for the most common exam formats, and gives a two-week plan you can adapt. The short answer is to find out the format first, then use AI to make your practice look like the exam and your feedback faster, without letting it do the attempting for you.
What should you find out before you open an AI tool?
Start by answering a few questions. Is the exam multiple choice, short answer, essay, problem solving, practical or oral? Are notes or calculators allowed, how long do you have per question, and what do past papers look like? If you can get past papers or a sample, use them, because AI is a second-best source of realistic questions.
How should you prepare for multiple choice?
The risk with multiple choice is that recognition feels like knowledge. Use AI to generate plausible wrong answers, called distractors, for each concept, and then have it ask you to explain why each is wrong.
Write 5 multiple choice questions on [topic] with four options each. After I answer, explain why each wrong option is wrong.
Check the quality, because AI-written multiple choice can contain two right answers or trivial distractors.
What about short answers and definitions?
The risk here is memorising wording instead of meaning. Ask AI to pose "why" and "compare" questions, and to grade your answers against the key points in your notes.
Ask me a short-answer question. Grade my response out of 5 using the key points from the notes I pasted. Tell me which key points I missed.
How do you practise essays with AI?
The risk with essays is letting AI write the argument for you. Use it to critique your outline and your draft, not to produce them, and make timed practice essential.
Here is my essay plan for the question "[question]". Point out weak arguments and missing counter-arguments. Do not rewrite it.
Then write under time limits, by hand if the exam is handwritten.
How do you prepare for problem solving in maths, physics, chemistry and coding?
Watching worked solutions feels like solving, which is the trap. Use AI to give hints in stages and to check your steps.
Give me a problem on [topic]. Let me try it. If I'm stuck, give me only the next hint, not the full solution.
Work by hand, closed-book, before you check, and then re-do a similar problem a day later.
What about open-book exams and oral exams?
Open-book exams carry the risk of assuming you will look things up, when time pressure makes that slow. Use AI to simulate the time pressure, so you practise finding and applying information quickly, and practise building an index of your notes. Oral exams and vivas have the opposite risk, which is knowing the material silently but not being able to say it. Use AI to run a spoken question-and-answer, answer aloud, and then ask it to point out unclear or incorrect statements. Voice mode can help here, and one student valued "being able to walk, talk, ask questions."
What does a two-week plan for a science exam look like?
Suppose the exam is 90 minutes, mixed short-answer and calculation questions, with a formula sheet. In the first four days, work through the syllabus, and after each topic do five minutes of blank-page recall and ask the AI to point out gaps. From day five to eight, switch to problems: do them by hand, closed-book, check them, and keep a mistakes list.
On days nine to eleven, do one past paper in full, timed, and mark it against the mark scheme, not from memory. On days twelve and thirteen, redo only the questions you got wrong, in a different form, and on day fourteen do a light review and get an early night. The AI's role is generating extra problems in the same style, checking your steps, and marking short answers against key points. Your role is doing all of the attempting.
How do you practise under exam conditions?
Conditions change how you perform, so copy them where you can. Time yourself using the real time per question, remove the aids you will not have, such as notes or a phone, and write by hand if the exam is handwritten, because handwriting speed and stamina are part of the test. Sit at a desk and finish what you start. One full realistic practice paper is worth more than several relaxed ones.
How should you use a mark scheme?
Mark schemes tell you what earns marks. Have the AI compare your answer with the marking points, and ask, "Which points did I miss, and what would a full-mark answer include?" Then rewrite your answer yourself. If you do not have an official mark scheme, ask your teacher for one, since AI-written schemes may not match your exam board.
What should the last week look like?
In the week before, aim for two or three timed practice sessions in the exam format, one review of every mistake from earlier practice and one from-memory summary per topic. Then protect your sleep, because a rested student recalls more than a tired one who crammed.
What is the coverage trap?
AI may emphasise what it finds interesting, not what the exam covers. A student complained about exactly this: AI picks "what it thinks is important but not what exam actually focus on." Always pin your practice to the syllabus, past papers and teacher-stated priorities.
How Tutor AI supports this
Tutor AI can adapt practice to the format you tell it you will face, whether that is problem sets, short answer or a spoken explanation, using questions first and hints second. Interactive content lets you rehearse the skill itself, not just read about it.
The short version
Ask two questions before you study: how will I be tested, and does my practice look like that? Then use AI to make practice more realistic and feedback faster, not to replace the practice.
Frequently asked questions
Can AI predict what will be on the exam? No. It can generate practice in the right format, but it does not know your exam. Use past papers and your teacher's guidance to decide what matters.
How many practice papers should I do? As many realistic timed ones as you can fit, with careful review of mistakes. Two or three thoughtful papers beat ten rushed ones.
Is it fine to use AI to mark my essays? As feedback, yes, and checked against a mark scheme. Do not treat its grade as the real one.
What if the exam has no past papers? Ask your teacher for sample questions, and use AI to write more in the same style, checking each one against your syllabus.