Each fall and spring, thousands of university students in the United States enroll in introductory business courses. They ...

Despite the many advantages of using deep neural networks over shallow networks in various machine learning tasks, their effectiveness is compromised in a federated learning setting due to large ...

Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model updates are ...

In education, as in psychology, clarity matters. Yet in everyday conversations about teaching and learning, terms like learning theory and pedagogy are often used interchangeably. Phrases such as ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human behavior science to machines.