Big Data based Monitoring and Evaluation Method for English Teaching Quality

The web-based education managements devices are majorly utilized in high educational institutions that is gradually replaced the performance of students in the standard evaluation method. To tackle these limitations of less evaluation accuracy and high time of evaluation in standard English teaching quality monitoring and evaluation techniques. In this research, proposed the method based on big data for English teaching quality monitoring and evaluation. In accordance with selection method of factors in English teaching quality monitoring, this research analyzed the factors and develops the index system of English teaching quality method, acquires index data of monitoring. The filtered and compressed the data for monitoring, and considers the pre-processed data as evaluation index. This research utilized the analysis of principal component method for measuring the weight of evaluation index and develops the evaluation method. The method is evaluated with five different evaluation aspects and attained the less Root Mean Square Error of 11.52 and Mean Absolute Error of 7.65 on Employment status of student’s evaluation aspect which is effective method.