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.

Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.

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

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

Hong Kong, China, 14th Nov 2025 – AskMath announced the launch of an AI Math Solver designed to provide detailed problem-solving guidance for a variety of mathematical queries. The platform delivers ...

Jenny Quinn, executive director of the Seattle Universal Math Museum, shows off a solved Fibonacci sequence puzzle. (GeekWire Photo / Maddie Stoll) Jenny Quinn travels with math in her backpack. She ...

Schools are starting to switch from learning math through memorization to learning it by problem-solving, focusing on understanding concepts. Ashwaubenon added class time to math and ELA in middle ...