English Teaching Ability Evaluation Algorithm Based on Big Data Fuzzy K-means Clustering

Abstract

Since entering the new era, with the rapid development of science and technology, the daily data generated by all walks of life is an astronomical number. The amount of data generated now has explosive growth compared to before. Under such a development environment, if there is a simple, convenient, and effective way to find the corresponding information you want to find from the massive amount of miscellaneous data, then through this way you can be ahead of others and provide a very important solid foundation for your own development. Based on the traditional English teaching ability assessment method, there are a series of data processing problems, and the accuracy rate is insufficient. This paper proposes a new fuzzy K-means clustering algorithm combined with big data. This algorithm is combined with information. New English teaching ability assessment algorithm. Realize a new English teaching ability assessment algorithm. This article mainly analyzes the clustering algorithm under the current big data background, discusses the current situation of English teaching ability assessment, and puts forward a series of suggestions on how to optimize and enhance the English teaching ability assessment algorithm. And try to find a new way out of the English teaching ability assessment algorithm in the current era based on the results of these studies. According to the experimental results, the new algorithm proposed in this paper for English teaching ability assessment has better information fusion analysis ability than the traditional English teaching ability algorithm, which greatly improves the accuracy of teaching ability assessment and the application of teaching resources the efficiency has also been greatly improved.