{"title":"异步论坛的电子学习分析框架","authors":"Cheng-Huang Yen","doi":"10.1109/ICALT.2013.12","DOIUrl":null,"url":null,"abstract":"In this research, we developed a framework of e-learning analytics for asynchronous forums. The framework has been used to collect data and to compute indicators for analyzing the teaching style and behavioral patterns of online asynchronous interaction. The result helps us get a deeper insight into the dynamics of a discussion forum. The value of the e-learning analytics framework has been verified by empirical results.","PeriodicalId":301310,"journal":{"name":"2013 IEEE 13th International Conference on Advanced Learning Technologies","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Framework of E-Learning Analytics for Asynchronous Discussion Forums\",\"authors\":\"Cheng-Huang Yen\",\"doi\":\"10.1109/ICALT.2013.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, we developed a framework of e-learning analytics for asynchronous forums. The framework has been used to collect data and to compute indicators for analyzing the teaching style and behavioral patterns of online asynchronous interaction. The result helps us get a deeper insight into the dynamics of a discussion forum. The value of the e-learning analytics framework has been verified by empirical results.\",\"PeriodicalId\":301310,\"journal\":{\"name\":\"2013 IEEE 13th International Conference on Advanced Learning Technologies\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 13th International Conference on Advanced Learning Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT.2013.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 13th International Conference on Advanced Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2013.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Framework of E-Learning Analytics for Asynchronous Discussion Forums
In this research, we developed a framework of e-learning analytics for asynchronous forums. The framework has been used to collect data and to compute indicators for analyzing the teaching style and behavioral patterns of online asynchronous interaction. The result helps us get a deeper insight into the dynamics of a discussion forum. The value of the e-learning analytics framework has been verified by empirical results.
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