The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

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 ...

NCTM Releases New Position Statement on Maximizing the Impact of Universal Screeners (1) ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Leaning on a communicational framework for studying social, affective, and cognitive aspects of learning, the present study offers a new look at the construction of an identity of failure in ...

Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate ...

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 ...

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 ...

Sometimes students build up a lot of emotions about mathematics. This page is meant to help you put things in perspective and think about how to embrace your inner mathematician. Did anyone every tell ...

"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.