Mary Nestor, Millie Tullis and James Butler write that a recent opinion essay presented a distorted view of the possibilities of asynchronous course design. Many institutions now offer effective ...

A major limitation of online reinforcement learning (RL) implementations applied to AI-specific environments (or systems)—most of which run in a simulation-based context - is the difficulty to ...

As online education continues to increase in popularity, the choice between synchronous and asynchronous classes plays a key role in addressing the diverse needs of learners. Asynchronous learning, ...

With the widespread application of Federated Learning (FL) in distributed data environments, enhancing system communication efficiency while maintaining model performance has become a critical ...