Utah tried to infuse data science into its math standards. That effort got caught up in a broader debate about rigor and what math high schoolers need.

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.

On a simple math task - indicating which of two amounts is greater - kids with math learning disability get the right answer ...

Math struggles in kids may stem from brains that have a harder time learning from mistakes—not just understanding numbers.

Hyesang Chang and colleagues, from Stanford University, explored why some children struggle to learn math compared to their peers in a new JNeurosci paper. Children selected which numbers were bigger ...

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 allowing for multiple solution paths.

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...

The AUSD Board of Education took a deep dive into math test scores at its meeting on January 27. "Overall, the percentage of AUSD students meeting or exceeding standards has increased and recovered ...

Add Yahoo as a preferred source to see more of our stories on Google. Education advocates are raising concerns about student math performance in Massachusetts, warning that declining scores mirror the ...