Feature extraction of online English learning behavior based on genetic algorithm

Abstract

In order to solve the problem of low accuracy and efficiency of traditional online English learning behavior feature extraction methods, a method of online English learning behavior feature extraction based on genetic algorithm is proposed. This paper analyzes the generation mechanism of online English learning behavior data, and collects online English learning behavior data. Based on the collected data, K-means algorithm is used to cluster and mine online English learning behavior data. Based on the preprocessed data, the process of genetic algorithm is analyzed, and the feature extraction function of online English learning behavior is constructed to complete the feature extraction of online English learning behavior. Experimental results show that, compared with the traditional feature extraction method, the accuracy and efficiency of the proposed method are significantly improved.