Author(s)

Xiuying Wu

Corresponding Author

Xiuying Wu

Abstract

With the wide application of artificial intelligence (AI) in the field of education, the optimization of individualized learning path of university English has become the key to improve teaching quality. This article focuses on the AI-based individualized learning path of university English. Through theoretical analysis, combined with individualized learning theory, AI related technology and university English learning theory, this article analyzes the elements of constructing individualized learning path of university English based on AI, including learner characteristics analysis, learning goal setting, learning resource integration and learning strategy selection. Then, optimization strategies are put forward, such as dynamically adjusting the learning path according to the learning data, providing support with intelligent interaction, and building a individualized evaluation feedback system based on AI. The research shows that using AI to optimize the individualized learning path of university English can help meet the individual differences of students, improve the learning effect, provide scientific and effective guidance for university English language teaching (ELT) practice and promote the teaching quality.

Keywords

Artificial Intelligence; University English; Individualized Learning Path; Optimization; Teaching Practice