After years of assigning the kind of homework she had done as a student and observing students’ disengagement with it, a teacher overhauled how she assigns math practice.

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

A new method trains artificial intelligence systems to more reliably solve complex problems that require interpreting both text and images. In tests, AI models trained with this method outperformed ...

Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

The president doesn’t use numbers and statistics like an adult; he uses numbers and statistics that he thinks sound good and make him feel better.

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

Abstract: In this paper, a novel multi-phase architecture for an accurate math word translation system is proposed. This system, ¿MathMaster¿, was designed to help students to gradually develop skills ...

GSM8K-V is a purely visual multi-image mathematical reasoning benchmark that systematically maps each GSM8K math word problem into its visual counterpart to enable a clean, within-item comparison ...

Here's the thing about math that nobody tells you: it's less about memorizing formulas and more about knowing which tools to reach for. By fourteen, students should have a problem-solving toolkit that ...

“Yoshua recently turned 57. He is three years younger than Yann. How old is Yann?” Solving such a math word problem (MWP) requires understanding the short natural language narrative describing a state ...