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.

These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and allowing for multiple solution paths.

We generally associate the origins of mathematical thinking with the emergence of writing, about five to six thousand years ago. However, a new study challenges this assumption looking at floral ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...

Burleigh: Are students being equipped with a genuine understanding of math concepts or merely trained to follow steps?