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

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. However, CoT still falls ...

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

Large language models struggle to solve research-level math questions. It takes a human to measure just how poorly they ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

A national nonprofit that aims to improve math outcomes for students in pre-K-5 found there are four key elements to ...

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

The Global Math Debate League (GMDL) has announced its nationwide schedule for the 2026 Regional and National Rounds, aiming ...

AI also boosts career trajectories. Based on an analysis of more than two million scientists in the dataset, the study finds ...

A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.

West Virginia lawmakers have introduced legislation that would ban calculators and math computational devices from ...