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

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.

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

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

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

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Teacher shares how students can quickly recognize and classify mixed-concept numericals chapter-wise. , Education, Times Now ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

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.

As the United States approaches the 250th anniversary of the Declaration of Independence, Lecturer Eric Soto-Shed argues that ...