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Make adaptive learning of the MOOC: The CML model

机译：使MOOC的自适应学习：CML模型

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The chance to learn from the best educators of the top universities for free has attracted wide interests of millions who have registered for MOOCs across the world. As MOOCs have gained caused great repercussions, critical debate is brewing on the pedagogical effectiveness of MOOCs. The high attrition rate of students who register at the beginning of a MOOC is a major cause of concern regarding the long-term success, impact, and sustainability of MOOC. Having conducted many studies on the application of adaptive learning in personalized MOOC learning. This article describes the details of customized MOOC learning (CML) model, which contains MOOC cloud, personalized course map and adaptive MOOC learning system. The results indicate that providing a strong pedagogical framework and a personalized learning experience in a MOOC learning environment is very important.
机译：有机会从顶级大学的最佳教育工作者自由吸引人吸引了全球Moocs的百万美元的范围内。随着MOOC的获得引起了极大的影响，批判性辩论正在酝酿于MOOCS的教学效果。在MOOC开始时注册的学生的高耗材是关于MOOC的长期成功，影响和可持续性的关注的主要原因。对许多关于适应性学习在个性化MOOC学习的研究进行了研究。本文介绍了定制的MooC学习（CML）模型的详细信息，其中包含MooC云，个性化课程地图和自适应MooC学习系统。结果表明，在MooC学习环境中提供强大的教学框架和个性化学习体验非常重要。

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