English Teaching Evaluation System Based on Big Data

Abstract

With the advent of the era of big data, big data application systems in various fields emerge as the times require. In English teaching evaluation system is no exception. As a widely used language in the world, English education evaluation system is also multifarious, which attracts the attention of people from all walks of life. English automatic teaching evaluation system is an evaluation system based on big data, which meets the requirements of teaching informatization and new curriculum standard. In order to explore the teaching effect of the existing English teaching evaluation system, find out the problems, and then put forward the corresponding suggestions. Based on the research of related literature, using the teaching experiment method, questionnaire survey method and analytic hierarchy process, this paper analyzes the students' style, the teaching effect of the automatic evaluation system, the specific vocabulary accumulation and accuracy, the use of sentence length and total number of sentences, and the students' satisfaction with the teaching evaluation system. There are subtle differences in the effect of teaching evaluation, whether it is from the initial vocabulary accumulation of 10 to the later vocabulary accumulation of 15, or from the initial total number of sentences of 10 to 12, it shows the improvement of teaching effect. In the satisfaction survey of the evaluation system, the satisfaction is as high as 50%. Therefore, for the automatic English teaching evaluation system, its effect and satisfaction is excellent, but the lack of style diversity, which requires the continuous improvement of English teaching evaluation system.