{"title":"新旧动能转换背景下人才培养体系的综合评价与分析","authors":"W. Yumei, Han Mei, Gao Xiuyun","doi":"10.1109/IAI55780.2022.9976806","DOIUrl":null,"url":null,"abstract":"The replacement of old growth drivers with new ones injects a new impetus for economic development, puts forward higher and more comprehensive requirements for talents, and puts forward new standards for enterprise employment and current talent education, which leads to the disconnection between enterprise employment standards and college education mode. Under the background of the replacement of old growth drivers with new ones, this study constructs the talent training evaluation index system, including two aspects: input and output of talent training. The existing input index is usually composed of human input, material input and financial input, while the output index includes teaching output, scientific research output and social service output. Taking China Education Statistics Yearbook (2016–2020) as the data source, Composite DEA method is used to comprehensively evaluate and analyze the talent training system under the background of the replacement of old growth drivers with new ones.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Evaluation and Analysis The Talent Training System Using Composite DEA under the Background of the Replacement of Old Growth Drivers with New Ones\",\"authors\":\"W. Yumei, Han Mei, Gao Xiuyun\",\"doi\":\"10.1109/IAI55780.2022.9976806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The replacement of old growth drivers with new ones injects a new impetus for economic development, puts forward higher and more comprehensive requirements for talents, and puts forward new standards for enterprise employment and current talent education, which leads to the disconnection between enterprise employment standards and college education mode. Under the background of the replacement of old growth drivers with new ones, this study constructs the talent training evaluation index system, including two aspects: input and output of talent training. The existing input index is usually composed of human input, material input and financial input, while the output index includes teaching output, scientific research output and social service output. Taking China Education Statistics Yearbook (2016–2020) as the data source, Composite DEA method is used to comprehensively evaluate and analyze the talent training system under the background of the replacement of old growth drivers with new ones.\",\"PeriodicalId\":138951,\"journal\":{\"name\":\"2022 4th International Conference on Industrial Artificial Intelligence (IAI)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Industrial Artificial Intelligence (IAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI55780.2022.9976806\",\"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 4th International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI55780.2022.9976806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comprehensive Evaluation and Analysis The Talent Training System Using Composite DEA under the Background of the Replacement of Old Growth Drivers with New Ones
The replacement of old growth drivers with new ones injects a new impetus for economic development, puts forward higher and more comprehensive requirements for talents, and puts forward new standards for enterprise employment and current talent education, which leads to the disconnection between enterprise employment standards and college education mode. Under the background of the replacement of old growth drivers with new ones, this study constructs the talent training evaluation index system, including two aspects: input and output of talent training. The existing input index is usually composed of human input, material input and financial input, while the output index includes teaching output, scientific research output and social service output. Taking China Education Statistics Yearbook (2016–2020) as the data source, Composite DEA method is used to comprehensively evaluate and analyze the talent training system under the background of the replacement of old growth drivers with new ones.