{"title":"大数据增强高等教育系统的演变","authors":"Shaoying Li, Jun Ni","doi":"10.1109/ICICSE.2015.53","DOIUrl":null,"url":null,"abstract":"There exists a significant difference between traditional data processing and today's big data technology, especially data structure and information extraction. Such difference brings higher education systems a great challenge which promotes their changes in the concept and methodology. This paper analyses the architecture of big data-enhanced higher education systems with necessary evaluation components in today's education institutes.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Evolution of Big-Data-Enhanced Higher Education Systems\",\"authors\":\"Shaoying Li, Jun Ni\",\"doi\":\"10.1109/ICICSE.2015.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There exists a significant difference between traditional data processing and today's big data technology, especially data structure and information extraction. Such difference brings higher education systems a great challenge which promotes their changes in the concept and methodology. This paper analyses the architecture of big data-enhanced higher education systems with necessary evaluation components in today's education institutes.\",\"PeriodicalId\":159836,\"journal\":{\"name\":\"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSE.2015.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2015.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolution of Big-Data-Enhanced Higher Education Systems
There exists a significant difference between traditional data processing and today's big data technology, especially data structure and information extraction. Such difference brings higher education systems a great challenge which promotes their changes in the concept and methodology. This paper analyses the architecture of big data-enhanced higher education systems with necessary evaluation components in today's education institutes.