{"title":"基于K-means算法的大学生英语成绩智能聚类模型研究","authors":"Miao Yu","doi":"10.1109/ECICE55674.2022.10042941","DOIUrl":null,"url":null,"abstract":"The K-means clustering algorithm is used to cluster the students’ scores. After data preprocessing, the clustering is carried out and a visual class diagram is generated to understand the weaknesses of each class of students in English. The results show that this teaching model enables teachers to carry out targeted teaching according to the learning characteristics of undergraduates and effectively improve their English scores.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Intelligent Clustering Model of Undergraduate English Achievement Based on K-means Algorithm\",\"authors\":\"Miao Yu\",\"doi\":\"10.1109/ECICE55674.2022.10042941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The K-means clustering algorithm is used to cluster the students’ scores. After data preprocessing, the clustering is carried out and a visual class diagram is generated to understand the weaknesses of each class of students in English. The results show that this teaching model enables teachers to carry out targeted teaching according to the learning characteristics of undergraduates and effectively improve their English scores.\",\"PeriodicalId\":282635,\"journal\":{\"name\":\"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECICE55674.2022.10042941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE55674.2022.10042941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Intelligent Clustering Model of Undergraduate English Achievement Based on K-means Algorithm
The K-means clustering algorithm is used to cluster the students’ scores. After data preprocessing, the clustering is carried out and a visual class diagram is generated to understand the weaknesses of each class of students in English. The results show that this teaching model enables teachers to carry out targeted teaching according to the learning characteristics of undergraduates and effectively improve their English scores.
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