Learning theory tells us how we take in and process information and knowledge. A person’s environment influences his learning. In the case of Pavlov’s dog, for example, the physiologist Ivan ...

The knowledge tracking model based on learning process (LPKT) aims to complete knowledge tracking by simulating students’ learning and memory process. Its structure is shown in Figure 1. The static ...

Researchers have tended to study either the trajectory of lifelong mastery, where learning can appear as a steady, gradual process, or the effects of practice in short, repeated bouts.

Like everything else associated with machine learning, deep learning, and large language models, the generative AI development process is subject to change, often with little or no notice.

In recent years, the transformer model has become one of the main highlights of advances in deep learning and deep neural networks. It is mainly used for advanced applications in natural language ...

Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...