{"title":"基于数据挖掘算法的大学英语辅助教学系统研究","authors":"Xiaohui Wu","doi":"10.1109/ICISCAE52414.2021.9590770","DOIUrl":null,"url":null,"abstract":"According to the development of information technology and the current situation of university teaching, scientific research and social management, this paper designs a data model for predicting students' achievement according to the characteristics of university data, and implements a complete college English assistant teaching system, which is based on B/S framework, and finally uses web as the front end to display decision data. Combining with the development trend of information technology, such as data mining, this paper constructs a college English auxiliary teaching system, optimizes Apriori algorithm in the teaching operation module, and analyzes students' English scores in college entrance examination. The research and implementation of this system in this paper is of great practical significance for improving the application level and depth of the college English auxiliary teaching system.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on College English Assisted Instruction System Based on Data Mining Algorithm\",\"authors\":\"Xiaohui Wu\",\"doi\":\"10.1109/ICISCAE52414.2021.9590770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the development of information technology and the current situation of university teaching, scientific research and social management, this paper designs a data model for predicting students' achievement according to the characteristics of university data, and implements a complete college English assistant teaching system, which is based on B/S framework, and finally uses web as the front end to display decision data. Combining with the development trend of information technology, such as data mining, this paper constructs a college English auxiliary teaching system, optimizes Apriori algorithm in the teaching operation module, and analyzes students' English scores in college entrance examination. The research and implementation of this system in this paper is of great practical significance for improving the application level and depth of the college English auxiliary teaching system.\",\"PeriodicalId\":121049,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCAE52414.2021.9590770\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCAE52414.2021.9590770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on College English Assisted Instruction System Based on Data Mining Algorithm
According to the development of information technology and the current situation of university teaching, scientific research and social management, this paper designs a data model for predicting students' achievement according to the characteristics of university data, and implements a complete college English assistant teaching system, which is based on B/S framework, and finally uses web as the front end to display decision data. Combining with the development trend of information technology, such as data mining, this paper constructs a college English auxiliary teaching system, optimizes Apriori algorithm in the teaching operation module, and analyzes students' English scores in college entrance examination. The research and implementation of this system in this paper is of great practical significance for improving the application level and depth of the college English auxiliary teaching system.