Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

American students are struggling with math, but what’s really to blame? Some blame the pandemic. Others point to overreliance ...

Canadian students' math performance is deteriorating. That's bad for them and the economy. Provinces must address it now ...

Students answered 7,773 math questions correctly in December to secure the state title.

These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to add, starting with ...

OpenAI’s GPT-5.2 Pro does better at solving sophisticated math problems than older versions of the company’s top large ...

'They're learning without even realizing it. It's math, teamwork and problem-solving - all wrapped into a game.' ...

These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and ...

Staring at a page of derivatives or integrals can feel like trying to read a foreign language. Your professor moves fast, the ...

Viktoria Craft teaches math at Warren Central High School and is a nominee for Educator of the Year. She utilizes group ...