{"title":"学习分析与学习设计在哪里相遇","authors":"Lori Lockyer, S. Dawson","doi":"10.1145/2330601.2330609","DOIUrl":null,"url":null,"abstract":"The wealth of data available through student management systems and eLearning systems has the potential to provide faculty with important, just-in-time information that may allow them to positively intervene with struggling students and/or enhance the learning experience during the delivery of a course. This information might also facilitate post-delivery review and reflection for faculty who wish to revise course design and content. But to be effective, this data needs to be appropriate to the context or pedagogical intent of the course -- this is where learning analytics meets learning design.","PeriodicalId":311750,"journal":{"name":"Proceedings of the 2nd International Conference on Learning Analytics and Knowledge","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Where learning analytics meets learning design\",\"authors\":\"Lori Lockyer, S. Dawson\",\"doi\":\"10.1145/2330601.2330609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wealth of data available through student management systems and eLearning systems has the potential to provide faculty with important, just-in-time information that may allow them to positively intervene with struggling students and/or enhance the learning experience during the delivery of a course. This information might also facilitate post-delivery review and reflection for faculty who wish to revise course design and content. But to be effective, this data needs to be appropriate to the context or pedagogical intent of the course -- this is where learning analytics meets learning design.\",\"PeriodicalId\":311750,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Learning Analytics and Knowledge\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Learning Analytics and Knowledge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2330601.2330609\",\"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 2nd International Conference on Learning Analytics and Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2330601.2330609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The wealth of data available through student management systems and eLearning systems has the potential to provide faculty with important, just-in-time information that may allow them to positively intervene with struggling students and/or enhance the learning experience during the delivery of a course. This information might also facilitate post-delivery review and reflection for faculty who wish to revise course design and content. But to be effective, this data needs to be appropriate to the context or pedagogical intent of the course -- this is where learning analytics meets learning design.