{"title":"基于大数据的大学生学业评价研究","authors":"Wang Geng","doi":"10.1109/YAC.2019.8787655","DOIUrl":null,"url":null,"abstract":"Big data has a revolutionary impact on the whole society, especially on the development of higher education. By investigating the current situation of academic evaluation of university students at home and abroad, this paper sorts out the relevant contents between big data and academic evaluation of university students, innovatively combines big data with academic evaluation of university students, aiming at promoting students' individualized development, making them grasp the principles of comprehensiveness, orientation, pluralism as well as difference, and exploring key connecting links and data sources in the process of developing academic evaluation. In order to bring the big data in students' academic evaluation into full play, this paper includes process design, data mining and realistic challenges.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"23 20 1","pages":"85-89"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on Academic Evaluation of College Students Based on Big Data\",\"authors\":\"Wang Geng\",\"doi\":\"10.1109/YAC.2019.8787655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data has a revolutionary impact on the whole society, especially on the development of higher education. By investigating the current situation of academic evaluation of university students at home and abroad, this paper sorts out the relevant contents between big data and academic evaluation of university students, innovatively combines big data with academic evaluation of university students, aiming at promoting students' individualized development, making them grasp the principles of comprehensiveness, orientation, pluralism as well as difference, and exploring key connecting links and data sources in the process of developing academic evaluation. In order to bring the big data in students' academic evaluation into full play, this paper includes process design, data mining and realistic challenges.\",\"PeriodicalId\":6669,\"journal\":{\"name\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":\"23 20 1\",\"pages\":\"85-89\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC.2019.8787655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2019.8787655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Academic Evaluation of College Students Based on Big Data
Big data has a revolutionary impact on the whole society, especially on the development of higher education. By investigating the current situation of academic evaluation of university students at home and abroad, this paper sorts out the relevant contents between big data and academic evaluation of university students, innovatively combines big data with academic evaluation of university students, aiming at promoting students' individualized development, making them grasp the principles of comprehensiveness, orientation, pluralism as well as difference, and exploring key connecting links and data sources in the process of developing academic evaluation. In order to bring the big data in students' academic evaluation into full play, this paper includes process design, data mining and realistic challenges.