Support, not substitution
People studying with open materials often work alone. There is no one to read a draft, no one to ask a quick question, and no timetable that keeps the work on track. AI tools can fill some of those gaps. They can also do the work for you, which defeats the purpose of studying. The practical skill is knowing which kind of help you are asking for.
A useful test is simple: after using the tool, could you do a similar task without it? If not, the tool did the learning for you. Evidence on how much AI help improves understanding is still limited and mixed, so it is sensible to treat any benefit as something to check in your own results rather than assume.
Feedback on drafts
Asking for comments on a piece of writing is one of the more reasonable uses. You can ask for feedback on clarity, structure or missing steps in an argument, without asking the tool to rewrite it. Some ways to keep it useful:
- Ask for questions or observations, not a finished replacement.
- Ask what a confused reader might find unclear.
- Compare the comments with the assignment instructions or marking guide yourself.
- Make the changes in your own words.
Be aware that the tool may praise weak work, miss subject-specific errors, or invent a problem. Its comments are one opinion. A tutor, a classmate or a study group can still notice things it will not. If your course sets rules about AI in written work, follow them, and the basics of avoiding plagiarism still apply to anything you submit.
Practice questions
Generating practice questions from your own notes or from an open textbook chapter can help you test yourself. Testing yourself is well supported as a study method, and the topic of retrieval practice explains why trying to recall something tends to help more than rereading it. The tool only makes the questions easier to get.
Cautions:
- Generated questions may be too easy, off the syllabus or simply wrong.
- Model answers may contain mistakes, especially in mathematics or technical subjects, so check them against your textbook.
- If you ask for the answer straight away, you lose the benefit. Attempt first, then check.
A good habit is to answer from memory, write down how confident you were, then compare with a trusted source. Mark the ones you missed and return to them later.
Study planning
A planning tool can turn a list of topics and a deadline into a schedule. For someone with limited free time this can reduce the effort of starting. A weekly revision plan or a set of realistic study goals is the kind of structure you might ask it to propose.
Treat the result as a draft. Tools do not know how long a topic takes you, how tired you are in the evening, or what else is on your calendar. Adjust the plan to your actual week, and revise it when it stops matching reality. Planning that you never follow is not support.
Explaining difficult passages
Asking for a simpler explanation or a different example can unblock a stuck learner. It works best when you have already tried the passage and can say exactly what confuses you. Then you can test the explanation: restate it in your own words, or work a new example without help.
Explanations can sound convincing while being wrong, and a plausible-sounding mistake is harder to notice than a nonsensical one. For anything that matters, such as numbers, dates, definitions or safety-related content, check with the original source. Good source evaluation habits apply here just as they do to websites.
Language and reading support
Tools can translate a hard sentence, define a term or read text aloud. For learners studying in a second language, these features can make open materials more reachable. They are most useful as a bridge: use them to get through a text, then return to the original wording so your own language skills develop. Some tools can also help with reading for learners who find text difficult, as part of broader assistive technology, though results vary by person.
Keeping your own thinking active
Several habits protect real learning:
- Try before you ask. Even a poor attempt gives you something to compare against.
- Ask for hints in stages instead of full solutions.
- Keep a short note of what you asked and what you learned. This builds metacognition skills, because you are watching your own understanding.
- Return to a topic after a few days without the tool, to see what stayed.
Privacy and honesty
Many tools keep what you type. Avoid putting in personal details, other people’s data, or material you do not have the right to share. If you upload a document, check its license and the tool’s terms. Be honest about AI use where a course asks for it. Rules differ between courses, and a rule you ignored will not be a good defense later.
When not to rely on it
AI help is a poor fit when the answer must be exactly correct and you cannot verify it, when the task is meant to assess your own ability, or when the topic involves health, law or money and the decision is yours. In those cases, go to an official or qualified source.
Judging a tool by your own results
Used carefully, AI can lower the friction of studying alone: faster feedback, more practice, a clearer plan. Its output is a draft to examine, not an authority. The learning still happens in your own head, and the best test of any tool is whether you understand more after using it.