Using AI to learn math concepts can boost understanding. But if used to get quick answers, AI can become a crutch that hurts learning.
Is it a good idea to use artificial intelligence (AI) for math help? Yes — and no. That’s based on the results of a new survey. AI can be a great tutor, it finds, but only if you use it in certain ways.
The data come from a poll of 1,300 high school students from across the United States, England and Wales. The Society for Industrial and Applied Mathematics surveyed some top math students in each nation. The goal was to identify the habits behind their academic success.
AI has many strengths as a math tutor, the study found. Students can use AI to explain things in different ways and to check their homework answers. It can answer “why” questions about material to deepen their understanding. AI can tailor learning by identifying a student’s knowledge gaps. Using AI as a tutor could even reduce math anxiety, some students said.
But there are potential downsides to AI tutoring as well, notes Robbie Torney. AI was designed to reduce friction — meaning it aims to do things quickly and efficiently. But learning “requires friction,” says Torney, who was not involved in the survey. He heads up AI & Digital Assessments at Common Sense Media. It’s a nonprofit group working to make the digital world safer for children and teens.
Science shows that learning requires grappling with problems, Torney notes. You have to work through things that feel hard and come up with your own answers.
Tiago C.P. agrees. To this Colorado high-school senior (who did not take part in the survey), the most important thing is “trying the problem first.” This is where students struggle, he adds, but “that’s when you get the learning down.” Says Tiago, “I won’t use AI before I’ve fully attempted a problem.”
Using AI for help with homework or when studying for tests can be fine — as long as you keep thinking, doing the work and using a range of other resources, too.Anton Vierietin/iStock/Getty Images PlusSurvey saysThe teens in the study had all taken part in an international math contest. Afterward, they gave their take on whether AI could be an effective math tutor. About half said yes — if the AI was used in specific ways. More than 200 math teachers also took part. More than six in every 10 agreed that an AI tutor could be beneficial. But AI could also decrease learning if used improperly, they noted.
Almost two thirds of students surveyed (63 percent) said they would always try a math problem on their own before seeking help from AI. If they were struggling, where would the students turn? Most recommended first asking teachers (58 percent), followed by classmates (50 percent). Others said they’d continue to try on their own (48 percent) or look for tutorials on the internet (46 percent). At 39 percent, AI came in fifth place.
That suggests using AI after trying most other sources of help. The number one suggestion for how to do well in math was doing regular practice problems. That’s according to both students (67 percent) and teachers (62 percent).
Overall, about half of the students said they believe AI has a place in math education. But they added that it is best used along with — not in place of — help from their classroom teacher. For one thing, “It’s hard to get AI to teach you the same way your teacher would,” says Amelie M., another Colorado senior (who did not participate in the survey).
Ask questions of your human teachers, not just of your AI tutor. A range of teaching styles can boost understanding. Also, people can understand each other better than AI can. Klaus Vedfelt/DigitalVision/Getty Images PlusHow to use AI for homework wiselyMore than half of the teachers in the study (55 percent) said AI’s biggest benefit is its ability to explain — step by step — how to solve a problem.
But relying on it can harm learning in the long run. Almost three in every four teachers surveyed said their biggest concern was that AI can quickly become a crutch.
Amanda Brown teaches math at Broomfield High School in Colorado. When learning something new, you can use AI for help, she says. But as you become more familiar with the subject, studies show, you should turn to AI less and less.
Torney recommends asking yourself (or even the AI): “Who’s doing most of the work?” Whenever it’s AI, he says, that likely points to a problem.
“I see kids that have perfect homework scores,” Brown says, who later “don’t pass their test.” AI might have helped them ace the homework. But in the end, Brown notes, “You’re gonna have to take the test [without AI].” And that’s when it comes out: Do you know the material or not?
The trick is using AI in moderation, agrees Amelie. Try to ask it very specific questions, she says, such as: “What are different ways I could solve this?” Amelie also suggests adding to your prompt: “Don’t give me the answer.”
Tiago warns that you also need to check whether AI is correct. Although chatbots keep improving, they sometimes “hallucinate” (make errors). This is because AI doesn’t actually know the answer. It just predicts what is the most likely answer from the data it has ingested. “At least a quarter of the time,” Tiago says, “I can catch a mistake it’s made.”
Remember that you can also work on problems with classmates. And teachers are likely your best source for homework help. “Learning has always been a social task,” Torney points out — “something that we do with other people.”
Studying in groups can turn learning into a “social task.” Those who understand something better can coach peers. People have different ways of learning and can benefit from others’ approaches. Jacob Wackerhausen/iStock/Getty Images PlusBeyond homeworkAI can be a good helper as you prepare for tests, Tiago finds. It can generate sample problems, create flash cards or drill you on concepts. Or if you were out sick for a few days, AI might help you catch up on topics you missed.
But AI will “pull from so many things,” says Amelie, that it can return “long, long paragraphs” of info. This “might actually be more overwhelming” than helpful, she points out. What might prove more beneficial are YouTube instructional videos that AI references, she says. Such videos show someone actually teaching you.
A math hack: You can also ask AI to tell you about your own thinking and learning. The surveyed teachers suggested letting AI test you to find gaps in your knowledge. Students recommended asking AI “why” questions about math. These could make you a better learner.
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Math is a bit like learning a sport. You have to learn certain skills and in a certain order. Consider ice hockey. Until you learn how to skate — and how to stop — you’ll have a tough time mastering a slap shot.
In math, if you don’t learn factoring, you’ll have trouble in algebra. If you don’t learn algebra well, calculus will be a bear. This is why Torney advises that you “keep your eye on the long game.”
And learning takes work. “When it’s easy,” Torney says, “learning is probably not happening.” If you’re using AI for help with math and don’t feel like you’re working very hard, change how or where you get help.
Torney offers a last tip: Choose your AI platform wisely. Chatbots such as ChatGPT, Gemini, Claude and Copilot are “multi-use” systems. They can tackle any topic — not just math. Platforms such as Mathos and Wolfram|Alpha answer questions just on math. And the discontinued (but still available) Khanmigo focuses on education.
Some students who use multi-use systems for math can start relying on them for social advice or emotional support, too. This can lead to dependency in some people. That’s why systems focused on a single topic, Torney says, “tend to be less risky for kids and teens.”
Using AI to help you understand math better can be a great thing. Just keep in mind this mantra from the teacher survey: “It’s critical for students to arrive at the correct answers themselves.” Use AI to learn concepts, not get answers.
artificial intelligence: A type of knowledge-based decision-making exhibited by machines or computers. The term also refers to the field of study in which scientists try to create machines or computer software capable of intelligent behavior.
chatbot: A type of computer program known as a bot (web robot) that has been created to interact with people in a way that seems to model normal human conversation. The idea is that if they seem human-like enough, people should be more willing to "chat" with these computer programs or let them take on tasks previously handled only by people. Some chatbots can craft customized text, such as a letter or report. Others might ask or share information (by phone or online) on a company’s behalf. One drawback: They are susceptible to hallucinating — as in making up their answers — or telling people what the chatbot’s artificial-intelligence model thinks they want (even if this is not objectively healthy or true).
digital: (in computer science and engineering) An adjective indicating that something has been developed numerically on a computer or on some other electronic device, based on a binary system (where all numbers are displayed using a series of only zeros and ones).
feedback: A response or assessment that follows some a particular act or decision. Or a process or combination of processes that propel or exaggerate a change in some direction. For instance, as the cover of Arctic ice disappears with global warming, less of the sun’s warming energy will be reflected back into space. This will serve to increase the rate of Earth’s warming. That warming might trigger some feedback (like sea-ice melting) that fosters additional warming.
friction: The resistance that one surface or object encounters when moving over or through another material (such as a fluid or a gas). Friction can also be used to describe attitudes or behaviors that push back against something.
high school: A designation for grades nine through 12 in the U.S. system of compulsory public education. High-school graduates may apply to colleges for further, advanced education.
metacognition: The act of thinking about the mental processes of thought. It’s a process people can use to plan, keep track of and understand why they behave the way they do.
risk: The chance or mathematical likelihood that some bad thing might happen. For instance, exposure to radiation poses a risk of cancer. Or the hazard — or peril — itself. (For instance: Among cancer risks that the people faced were radiation and drinking water tainted with arsenic.)
social: (adj.) Relating to gatherings of people; a term for animals (or people) that prefer to exist in groups. (noun) A gathering of people, for instance those who belong to a club or other organization, for the purpose of enjoying each other’s company.
survey: To view, examine, measure or evaluate something, often land or broad aspects of a landscape. (with people) To ask questions that glean data on the opinions, practices (such as dining or sleeping habits), knowledge or skills of a broad range of people. Researchers select the number and types of people questioned in hopes that the answers these individuals give will be representative of others who are their age, belong to the same ethnic group or live in the same region. (n.) The list of questions that will be offered to glean those data.
system: A network of parts that together work to achieve some function. For instance, the blood, vessels and heart are primary components of the human body's circulatory system. Similarly, trains, platforms, tracks, roadway signals and overpasses are among the potential components of a nation's railway system. System can even be applied to the processes or ideas that are part of some method or ordered set of procedures for getting a task done.
Announcement: MathWorks Math Modeling Challenge. Global survey of top U.S., U.K math students shines light on their academic success [survey]. Society for Industrial and Applied Mathematics. April 7, 2026.
Meeting video: G. Lichand, S. Allums and K. Roncete. Creativity in the age of Generative AI. AI + Education Summit 2026. February 11, 2026. Palo Alto, Calif.
Journal: H. Bastani et al. Generative AI without guardrails can harm learning: Evidence from high school mathematics. Proceedings of the National Academy of Sciences. Vol. 122, July 1, 2025, e2422633122. doi: 10.1073/pnas.2422633122.
Journal: G. Kestin et al. AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting. Nature Scientific Reports. Vol. 15, June 3, 2025, 17458. doi: 10.1038/s41598-025-97652-6.
Preprint: Krupp et al. Unreflected Acceptance — Investigating the negative consequences of ChatGPT-assisted problem solving in physics education. arXiv. Posted Aug 21, 2023. doi: 10.48550/arXiv.2309.03087.
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