Although some institutions are still on the fence about AI, it's here to stay, and it's already changing the way students ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

How one district used the disruption of the pandemic to reimagine professional learning—shifting from one-size-fits-all to trust-driven, personalized growth that meets the evolving needs of educators ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Introduction: This study proposes a deep learning–based image analysis method for automated scoring of the severity of horizontal ocular movement disorders and evaluates its performance against ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer ...

Federated learning (FL) enables distributed participants to collaboratively train a machine learning model without accessing to their local data. In FL systems, the selection of training samples has a ...