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.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their ...

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

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

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 ...

Abstract: Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, ...

The Atlanta Braves were supposed to contend for a World Series this season. Instead, they're contending with the Miami Marlins in a battle for well-off-the-pace third place in the NL East. Baseball, ...