Author(s)

Wenjie Hu

Corresponding Author

Wenjie Hu

Abstract

This paper firstly analyzes the sources and development of personalized learning, and studies the key technologies of personalized learning service based on cloud computing and big data analysis, and then analyzes the implementation technologies of cloud computing infrastructure layer and the implementation strategies of virtual machine real-time migration. According to the personalized customization tasks carried out by Portal and the analysis of personalized learning channel calculation methods, it provides certain reference value for cloud computing and big data analysis in the personalized teaching process.

Keywords

Cloud computing; Big data analysis; Personalized learning service; Key technology