{"title":"基于粒子群算法的研究生英语教学效果智能评价模型","authors":"Jingxian Ma","doi":"10.1109/ECICE55674.2022.10042920","DOIUrl":null,"url":null,"abstract":"Based on the analysis and evaluation of the effectiveness of postgraduate English learning, an intelligent evaluation model is proposed. This model applies the PSO algorithm to the achievement analysis system of graduate students. This algorithm analyzes student achievement data in the educational administration system to find out the internal relationship between courses. Based on the result, the educational administration staff can arrange teaching work scientifically. The results show that the method has the best effect on the evaluation of postgraduate English teaching with an average evaluation accuracy of 90%, a short evaluation time, and a test time shorter than 10 ms. This model improves the accuracy and efficiency of the evaluation of postgraduate English teaching and meets the requirements of teaching.","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\":\"Intelligent Evaluation Model for Postgraduate English Teaching Effectiveness Based on PSO Algorithm\",\"authors\":\"Jingxian Ma\",\"doi\":\"10.1109/ECICE55674.2022.10042920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the analysis and evaluation of the effectiveness of postgraduate English learning, an intelligent evaluation model is proposed. This model applies the PSO algorithm to the achievement analysis system of graduate students. This algorithm analyzes student achievement data in the educational administration system to find out the internal relationship between courses. Based on the result, the educational administration staff can arrange teaching work scientifically. The results show that the method has the best effect on the evaluation of postgraduate English teaching with an average evaluation accuracy of 90%, a short evaluation time, and a test time shorter than 10 ms. This model improves the accuracy and efficiency of the evaluation of postgraduate English teaching and meets the requirements of teaching.\",\"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/ECICE55674.2022.10042920\",\"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/ECICE55674.2022.10042920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Evaluation Model for Postgraduate English Teaching Effectiveness Based on PSO Algorithm
Based on the analysis and evaluation of the effectiveness of postgraduate English learning, an intelligent evaluation model is proposed. This model applies the PSO algorithm to the achievement analysis system of graduate students. This algorithm analyzes student achievement data in the educational administration system to find out the internal relationship between courses. Based on the result, the educational administration staff can arrange teaching work scientifically. The results show that the method has the best effect on the evaluation of postgraduate English teaching with an average evaluation accuracy of 90%, a short evaluation time, and a test time shorter than 10 ms. This model improves the accuracy and efficiency of the evaluation of postgraduate English teaching and meets the requirements of teaching.