【摘 要】
：
Nowadays,massive open online courses (MOOCs),are at-tracting widespread interest as an alternative education model.Several MOOCs platforms,such as Coursera,edX,and Udacity have been built and they provide low-cost op-portunities for anyone who needs to ac
【机 构】
：
Institute for Interdisciplinary Information Sciences,Tsinghua University,Beijing 100084,China;Depart
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Nowadays,massive open online courses (MOOCs),are at-tracting widespread interest as an alternative education model.Several MOOCs platforms,such as Coursera,edX,and Udacity have been built and they provide low-cost op-portunities for anyone who needs to access a massive number of courses from the worldwide top universities.However,the learning completion rate of the learners via MOOCs is ex-tremely low compared with that in real classroom learning.Thus,this study builds a system,called XiaoMu,to design intelligent intervention strategies for the learning process of learners and improve the learning efficiency through auto-matic analysis of courses and learners.We deployed our system on the website1),which is one of the largest MOOCs in China.
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