Jiaqi Shi

Currently, the integration of digital technology and education continues to deepen, and big data technology provides core support for the innovation of online English education. Personalized learning is a key direction to meet the differentiated needs of learners and improve the quality of education, and it is also the core driving force for the sustainable development of online English education. The aim of this study is to explore personalized learning paths for online English education under the background of big data, and to assist learners in achieving efficient English proficiency improvement and personalized growth. At the same time, corresponding optimization strategies are proposed to address the problems of insufficient utilization of learning data, insufficient precision of personalized services, and lack of systematic learning planning in current online English education. This study is of great significance in promoting the high-quality development of online English education. It can not only enhance learners' English learning effectiveness and self-learning ability, but also lay a solid foundation for the innovation and upgrading of the online education industry and the construction of a lifelong learning system.

Big data; Online English education; Personalized learning; Learning path; Educational Innovation

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