From adaptive problem sequencing to physics-informed simulations, AI is transforming how students learn and apply physics. New tools now guide learners step-by-step, visualize complex concepts, and ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Parts of the brain not traditionally associated with learning science become active when people are confronted with solving physics problems, a new study shows. The researchers, led by Eric Brewe, PhD ...

In The Physics Teacher, researchers explore the goal of culturally relevant pedagogy, which is to center students' cultural resources as a bridge to learning. It relies on a framework of academic ...

Harvard University physicists have developed a simplified, physics-inspired mathematical model to better understand how neural networks learn. Published in the Journal of Statistical Mechanics, the ...

In recent courses, I have noticed two troubling practices of physics students. The first is the student response to homework problems. I hear the following kind of statements all too often: "Oh, you ...

Forbes contributors publish independent expert analyses and insights. I write about physics, science, academia, and pop culture. Sticking in the classical world, electricity and magnetism is an ...

A new study showed that, when confronted with physics problems, new parts of a student's brain are utilized after receiving instruction in the topic. Parts of the brain not traditionally associated ...