Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

Cognitive overload can create a bottleneck during math lessons, but there are simple strategies to clear up students’ brain space for complex problem-solving.

Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble ...

Math students may not blink at calculating probabilities, measuring the area beneath curves or evaluating matrices, yet they often find themselves at sea when first confronted with writing proofs.

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

Teachers can use these tools to promote discussions and help students move from concrete to abstract understanding of concepts.

Imagine walking into a math classroom. Everything is quiet, students are diligently writing and reading and thinking. You hear the rustle of paper, scratching pens, and the occasional student shifting ...