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.

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.

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

Some math problems are designed in ways that reward simplicity rather than analytical depth. Research shows that highly intelligent individuals are more likely to overthink these problems, leading to ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

“Mathematics is the art of reducing any problem to linear algebra.” This is a quote often attributed to William Stein, a former mathematics professor at the University of Washington, now the lead ...

Introduction: This systematic review investigates the implementation of Problem-Based Learning (PBL) in K-12 mathematics education, offering a recent synthesis of current interventions. Methods: In ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

(THE CONVERSATION) 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 ...