{"title":"结合学习分析的mooc文献综述","authors":"Zhonggen Yu","doi":"10.4018/JITR.2021040104","DOIUrl":null,"url":null,"abstract":"Although there have been numerous studies committed to MOOCs integrated with learning analytics, fewer of them have systematically reviewed the related literature. Using clustering techniques, bibliographic network visualization, content analysis, and STARLITE method, this study systematically reviews the literature in terms of learning analytics models, platforms of MOOCs, effect of learning analytics, effect of engagement, self-regulation, motivation, and online interactions, as well as other influencing factors of the effectiveness of MOOCs integrated with learning analytics. It provides constructive suggestions for designers, researchers, learners, and instructors of MOOCs so as to lower down learner dropout rates, increase completion rates, enhance learner engagement, and better learning outcomes. Future research into MOOCs could focus on the improvements on learning analytics because learning analytics could exert an essential influence on the effectiveness of MOOCs.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Literature Review on MOOCs Integrated With Learning Analytics\",\"authors\":\"Zhonggen Yu\",\"doi\":\"10.4018/JITR.2021040104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there have been numerous studies committed to MOOCs integrated with learning analytics, fewer of them have systematically reviewed the related literature. Using clustering techniques, bibliographic network visualization, content analysis, and STARLITE method, this study systematically reviews the literature in terms of learning analytics models, platforms of MOOCs, effect of learning analytics, effect of engagement, self-regulation, motivation, and online interactions, as well as other influencing factors of the effectiveness of MOOCs integrated with learning analytics. It provides constructive suggestions for designers, researchers, learners, and instructors of MOOCs so as to lower down learner dropout rates, increase completion rates, enhance learner engagement, and better learning outcomes. Future research into MOOCs could focus on the improvements on learning analytics because learning analytics could exert an essential influence on the effectiveness of MOOCs.\",\"PeriodicalId\":296080,\"journal\":{\"name\":\"J. Inf. Technol. Res.\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Inf. Technol. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/JITR.2021040104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Inf. Technol. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/JITR.2021040104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Literature Review on MOOCs Integrated With Learning Analytics
Although there have been numerous studies committed to MOOCs integrated with learning analytics, fewer of them have systematically reviewed the related literature. Using clustering techniques, bibliographic network visualization, content analysis, and STARLITE method, this study systematically reviews the literature in terms of learning analytics models, platforms of MOOCs, effect of learning analytics, effect of engagement, self-regulation, motivation, and online interactions, as well as other influencing factors of the effectiveness of MOOCs integrated with learning analytics. It provides constructive suggestions for designers, researchers, learners, and instructors of MOOCs so as to lower down learner dropout rates, increase completion rates, enhance learner engagement, and better learning outcomes. Future research into MOOCs could focus on the improvements on learning analytics because learning analytics could exert an essential influence on the effectiveness of MOOCs.