{"title":"请注意!:学习可视化分析和推荐","authors":"E. Duval","doi":"10.1145/2090116.2090118","DOIUrl":null,"url":null,"abstract":"This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to \"drive blind\". Moreover, recommendation can help to deal with the \"paradox of choice\" and turn abundance from a problem into an asset for learning.","PeriodicalId":150927,"journal":{"name":"Proceedings of the 1st International Conference on Learning Analytics and Knowledge","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"391","resultStr":"{\"title\":\"Attention please!: learning analytics for visualization and recommendation\",\"authors\":\"E. Duval\",\"doi\":\"10.1145/2090116.2090118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to \\\"drive blind\\\". Moreover, recommendation can help to deal with the \\\"paradox of choice\\\" and turn abundance from a problem into an asset for learning.\",\"PeriodicalId\":150927,\"journal\":{\"name\":\"Proceedings of the 1st International Conference on Learning Analytics and Knowledge\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"391\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Conference on Learning Analytics and Knowledge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2090116.2090118\",\"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 1st International Conference on Learning Analytics and Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2090116.2090118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Attention please!: learning analytics for visualization and recommendation
This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.