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 ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

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 ...

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

"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.