Author(s)

Ruijun Duan

Corresponding Author

Ruijun Duan

ABSTRACT

The educational thought of personalized education and adaptive learning has been widely advocated for many years. However, in the traditional classroom teaching, due to the shortage of teachers and the disorder of teaching resources, it is difficult to realize adaptive and personalized teaching. The paper is intended to create a path to cater for the personalized learning and adaptive learning in English learning, especial for the Chinese cultural English. Through the collection of data online and establishment of the English knowledge graph, personalized knowledge graph can be generated based on graph convolution neural network. In this way, all the nods of the knowledge graph tend to be presented. And at last personalized learning path is generated based on various algorithms. Consequently, the personalized learning path can be adapted according to the students’ exercise situation and the difficulty level of themes and knowledge points. Meanwhile, it can be automatically revised as situation changes in the future.

KEYWORDS

Graph, Adaptive Learning, English