Intelligent Education

Intelligent education leverages artificial intelligence to personalize and optimize the learning process, aiming to improve student outcomes and teaching efficiency. Current research focuses on developing sophisticated models, including deep neural networks, graph neural networks, and large language models, to accurately assess student knowledge, adapt instruction, and provide personalized feedback. These advancements are driven by a need for fairness, explainability, and efficiency in educational systems, with a particular emphasis on addressing class imbalances and mitigating biases in data. The resulting technologies hold significant potential to transform educational practices and enhance learning experiences across various settings.