Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

All three students are currently undertaking work-based learning at Keeler Motor Car Co. in Latham — Berube in the BMW service shop and Sriram and Shivcharan […] Skip to content All Sections ...

Students in two vastly different Capital Region BOCES programs worked together recently to boost their collective knowledge and skills. Early Childhood Education students and their counterparts in … ...

The project falls under the umbrella of the 10-year-old Johns Hopkins University Sports Analytics Research Group at the university's Whiting School of Engineering, where student-driven projects bring ...

Predicting student academic performance effectively remains challenging due to the dynamic nature of learning behavior and the complex interplay of factors affecting student success. This paper ...

Students understand exactly what observable actions demonstrate learning, empowering them to control their own performance outcomes. Education Essential Reads Fighting the Passive Learning Trap ...

New research shows that performance goals may turn students into "emotionless learning machines," eroding authenticity. Skip to main content Mobile Navigation ...

A business professor at Miami University in Ohio encourages learners to use generative artificial intelligence tools to complete coursework, which he says prepares them for their future careers.

Predicting and enhancing student performance has been a crucial topic of concentration in education amid the quick development of technology and the increasing need for higher-quality instruction. The ...