Z. Fusheng, Yanglv Ling, Jia Zongfu, Qi Xin-jun, Zong Mingkui
{"title":"基于校园云的学生学习监测预警系统","authors":"Z. Fusheng, Yanglv Ling, Jia Zongfu, Qi Xin-jun, Zong Mingkui","doi":"10.1109/ICCSE.2017.8085560","DOIUrl":null,"url":null,"abstract":"It discusses the necessity of building college Students' Learning Monitoring and Early Warning System (SLMEWS) as well as points out the importance of parents' participation and assistance considering college students' social environment and background with information acquisition media of digital campus as its method and the school cloud as its technology kernel. It also puts forward a dynamic SLMEWS reference model which has bidirectional early warning threshold value. It provides an organization and system safeguard mechanism monitoring beforehand prevention, in the matter intervention and afterward evaluation of this system. At the same time, it suggests methods of early warning procedure, classification and grading.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The monitoring and early-warning system of students' learning based on the campus cloud\",\"authors\":\"Z. Fusheng, Yanglv Ling, Jia Zongfu, Qi Xin-jun, Zong Mingkui\",\"doi\":\"10.1109/ICCSE.2017.8085560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It discusses the necessity of building college Students' Learning Monitoring and Early Warning System (SLMEWS) as well as points out the importance of parents' participation and assistance considering college students' social environment and background with information acquisition media of digital campus as its method and the school cloud as its technology kernel. It also puts forward a dynamic SLMEWS reference model which has bidirectional early warning threshold value. It provides an organization and system safeguard mechanism monitoring beforehand prevention, in the matter intervention and afterward evaluation of this system. At the same time, it suggests methods of early warning procedure, classification and grading.\",\"PeriodicalId\":256055,\"journal\":{\"name\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2017.8085560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Computer Science and Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2017.8085560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The monitoring and early-warning system of students' learning based on the campus cloud
It discusses the necessity of building college Students' Learning Monitoring and Early Warning System (SLMEWS) as well as points out the importance of parents' participation and assistance considering college students' social environment and background with information acquisition media of digital campus as its method and the school cloud as its technology kernel. It also puts forward a dynamic SLMEWS reference model which has bidirectional early warning threshold value. It provides an organization and system safeguard mechanism monitoring beforehand prevention, in the matter intervention and afterward evaluation of this system. At the same time, it suggests methods of early warning procedure, classification and grading.