{"title":"学生探索者:一个大规模支持学术建议的工具","authors":"Steven Lonn, Stephanie D. Teasley","doi":"10.1145/2556325.2567867","DOIUrl":null,"url":null,"abstract":"Student Explorer is an early warning system designed to support academic advising that uses learning analytics to categorize students' ongoing academic performance and effort. Advisors use this tool to provide just-in-time assistance to students at risk of underperforming in their classes. Student Explorer is designed to eventually support targeted advising for thousands of undergraduate students.","PeriodicalId":20830,"journal":{"name":"Proceedings of the first ACM conference on Learning @ scale conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Student explorer: a tool for supporting academic advising at scale\",\"authors\":\"Steven Lonn, Stephanie D. Teasley\",\"doi\":\"10.1145/2556325.2567867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Student Explorer is an early warning system designed to support academic advising that uses learning analytics to categorize students' ongoing academic performance and effort. Advisors use this tool to provide just-in-time assistance to students at risk of underperforming in their classes. Student Explorer is designed to eventually support targeted advising for thousands of undergraduate students.\",\"PeriodicalId\":20830,\"journal\":{\"name\":\"Proceedings of the first ACM conference on Learning @ scale conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the first ACM conference on Learning @ scale conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2556325.2567867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the first ACM conference on Learning @ scale conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2556325.2567867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Student explorer: a tool for supporting academic advising at scale
Student Explorer is an early warning system designed to support academic advising that uses learning analytics to categorize students' ongoing academic performance and effort. Advisors use this tool to provide just-in-time assistance to students at risk of underperforming in their classes. Student Explorer is designed to eventually support targeted advising for thousands of undergraduate students.
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