Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

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

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

Problem solving is the mental process of analyzing a situation, learning what options are available, and then choosing the alternative that will result in the desired outcome or some other selected ...

This practical guide explains how to design agentic workflows using a simple inputs, tasks and outputs framework, so any business leader can move from idea to execution.

From deep research to image generation, better prompts unlock better outcomes. Follow my step-by-step guide for the best results.

Sarah D. Sparks is a reporter and data journalist for Education Week who covers the teaching profession and pedagogy for Education Week. She has covered education research and the science of learning ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...