A national nonprofit that aims to improve math outcomes for students in pre-K-5 found there are four key elements to ...

The study of mathematical learning and cognitive development in children explores how early numeracy skills emerge and evolve through a complex interplay of neural, cognitive and educational ...

Math anxiety is a significant challenge for students worldwide. While personalized support is widely recognized as the most ...

Most people in the math education space agree that students need to be fluent with basic math facts. By the time kids are in ...

Maths anxiety is a significant challenge for students worldwide. While personalised support is widely recognised as the most effective way to address it, many teachers struggle to deliver this level ...

Newest edition of research-proven, evidence-based program brings math thinking into students' everyday lives, helping them develop skills and confidence to become real-world ready Savvas Learning ...

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work ...

Linda M. Gojak and Sara Delano Moore, two co-authors of Visible Learning For Mathematics: What Works Best to Optimize Student Learning, agreed to answer a few questions about the book. Their other ...

Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I've ...

Teachers need supported opportunities to practice instructional approaches with students with disabilities using research-informed pedagogies (NCTM & CEC, 2024) that draw from both the fields of ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.