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Massive Open Online Courses (MOOCs): Data on higher education

机译:大规模在线公开课程(MOOC):高等教育数据

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摘要

The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of Massive Open Online Courses (MOOCs) in higher education from 2012 to 2017. Consequently, the extant, peer-reviewed literature relating to MOOCs was methodically assessed, as a means of formulating a classification for MOOC-focused scholarly literature. The publication journal, country of origin, researchers, release data, theoretical approach, models, methodology and study participants were all factors used to assess and categorise the MOOC. These data contribute to materials required by readers who are interested in different aspects related to the literature of using Massive Open Online Courses (MOOCs) in higher education. Intention to use, interaction, engagement, motivations and satisfaction were five dynamics assessed in relation to the improvement of MOOCs. Students’ academic performance can be influenced by MOOC which has the advantage of facilitating the learning process through offering materials and enabling the share of information.
机译:本文提供的数据基于对2012年至2017年在高等教育中使用大规模开放在线课程(MOOC)的219项研究进行的系统,有组织的综述。因此,有关MOOC的现有同行评审文献是有条理的评估,以作为以MOOC为重点的学术文献分类的一种手段。出版物期刊,原籍国,研究人员,发布数据,理论方法,模型,方法和研究参与者都是评估和分类MOOC的因素。这些数据有助于对与在高等教育中使用大规模开放在线课程(MOOC)的文献有关的不同方面感兴趣的读者提供的材料。使用意向,互动,参与,动机和满意度是与MOOC改善相关的五个动力。学生的学习成绩会受到MOOC的影响,MOOC的优势是通过提供材料和共享信息来促进学习过程。

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