The Cutting Ed

In order to develop AI tools that are reliable, fair, and trustworthy, it's essential to train them on diverse and high-quality datasets. In this article, Scott Crossley and Ulrich Boser propose strategies to spur the creation of these critical datasets.

A recent study evaluated the implementation, scalability, and impact on learning outcomes of Metro Nashville Public Schools' novel district-operated tutoring initiative.

While many predictions about AI’s role in education are premature, overhyped, or improbable, one forecast is already beginning to reshape education: machine learning tools are revolutionizing assessments in ways big and small.

Math anxiety stunts student confidence and performance in a subject critical to their personal success.