But, both of these would require large structural changes for a course that teaches hundreds of students a year — something that can’t really happen in the near term. What could happen now, though, is ...

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 ...

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

Investors usually fund startups based on metrics involving revenue, profits or product usage. But investors backing newer AI ...

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 ...

The Collatz Conjecture is defined by a rule simple enough for a child to follow. No matter what number you start with, the process always appears to end the same way — and it has never been observed ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous mathematical reasoning.

Abstract: Computer-assisted instruction systems have been broadly applied to help students solving math word problems. However, these systems offer little help to students encountering multi-step ...