New analyses reveal a deepening U.S. math crisis, with outdated curricula, pandemic-era learning disruptions, and inflated graduation rates masking low proficiency. Experts say rote-focused teaching ...

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...

For years, students who are blind or visually impaired have faced a steep climb in high school math, where textbooks rely heavily on graphs, diagrams, and spatial reasoning that don't translate easily ...

In this chapter, we look beyond the whole numbers at other numbers that are included in school mathematics in grades pre-K to 8, particularly in the upper grades. We first look at the rational numbers ...

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...