Personalized English Teaching Mode Based on Big Data

Abstract

AbstractWith the advancement of science and technology and the arrival of the information age, the traditional English teaching model was unable to meet the needs of the time. Against the background of the age of great data, the culture of individual learning for pupils is extremely important. To this end, this article launched a study on the English individualised model of teaching based on large data. In the investigation, this work uses the questionnaire survey method to conduct an investigation, analyse the current situation of individual English teaching at Chinese universities, summarise existing problems and propose a method of individual teaching; English based on large data for these problems. In order to verify the appropriateness of the method in this article, this article has chosen two classes to conduct a controlled experiment, one of which uses the traditional teaching method and the other class uses the individual teaching function to teach both classes are tested after the end of the experiment. The results of the study show that the scores of the two classes after the experiment are very different. Among these, the control class scored 72 points in written expression, 65 points in the hearing test and scores in oral communication. 63 points, the final score is 73 points, the experimental grade scores 83 points in written expression, 81 points in the hearing test, 85 points in oral communication and 82 points in the final. Individual English teaching in the age of high data may seem to contribute to improving the English competence of pupils.KeywordsBig dataEnglish teachingPersonalized teachingQuestionnaire survey method