Methods of Improving and Optimizing English Education Level in Higher Vocational Colleges Under the Background of Big Data

Abstract

At present, the English skills of Chinese university graduates cannot meet the needs of social development. Therefore, in recent years, the reform of college English teaching has received unprecedented attention. This article proposes methods for improving vocational English education in the context of big data, including teacher development, curriculum design, teaching modes, teaching resources, and learning evaluation. It also explores and analyzes new models and means of vocational English teaching that are conducive to big data analysis. We adopted a blended learning model that combines large-scale online open courses and SPOC to reform traditional English teaching methods and plans, and studied the teaching effectiveness and feasibility of the blended learning model. The results indicate that it can improve the online course experience and teaching effectiveness. This study promotes the modernization and reform of vocational English education, which helps to enhance students' independent English learning ability and practical work ability.