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A Literature Review on MOOCs Integrated With Learning Analytics

机译:与学习分析集成的MOOC的文献综述

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摘要

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.
机译:虽然已经有许多研究致力于与学习分析集成的MoOC,但它们的系统较少,系统地审查了相关文献。 使用聚类技术,书目网络可视化,内容分析和符号方法,本研究系统地评估了学习分析模型,MOOC的平台,学习分析的效果,参与,自我监管,动机和在线交互的效果的文献。 以及其他对学习分析集成的MOOC的有效性的影响因素。 它为Moocs的设计师,研究人员,学习者和教师提供了建设性的建议,以便降低学习者辍学率,增加完成率,提高学习者参与以及更好的学习成果。 未来的MOOCS研究可以关注学习分析的改进,因为学习分析可能对MOOCS的有效性发起基本影响。

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