{"title":"教育分析:挑战与方法","authors":"Linlin Zhang, K. F. Li","doi":"10.1109/WAINA.2018.00086","DOIUrl":null,"url":null,"abstract":"We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Education Analytics: Challenges and Approaches\",\"authors\":\"Linlin Zhang, K. F. Li\",\"doi\":\"10.1109/WAINA.2018.00086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.\",\"PeriodicalId\":296466,\"journal\":{\"name\":\"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAINA.2018.00086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2018.00086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.
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