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

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

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

Dreams appear to allow the brain to break free creatively in ways the conscious mind can not In A Nutshell Researchers ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls ...

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

Individuals with strong attention-deficit/hyperactivity disorder (ADHD) symptoms, related to inefficient cognitive executive function, may experience a surprising benefit: a natural inclination toward ...

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.

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

Politicians are touting “affordability” to describe the current regime of rising prices. However, most lawmakers who claim ...