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大数据环境下MOOC存在的问题及解决方法之初探

The Problems and Solutions of MOOC in Large Data Environment
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摘要 针对大数据环境下MOOC教育的特点,指出国内MOOC教育存在学习者盲目选择课程视频、视频知识点内容重复和退学率高三个问题,提出了解决方法。分别从建立智能关联推荐系统、建立基于内容的视频检索查重系统、建立机器化测评系统三个角度阐述。 Aiming at the characteristics of MOOC education in the large data environment, it is pointed out that there are three problems in the MOOC education of the domestic learners who have chosen the curriculum video and video knowledge points repeatedly and the dropout rate. Respectively, from the establishment of intelligent association recommendation system, the establishment of content-based video retrieval check system, the establishment of mechanical evaluation system three angles.
出处 《电脑知识与技术》 2017年第5X期27-28,32,共3页 Computer Knowledge and Technology
基金 安徽省教育厅高等职业教育创新发展行动计划(XM-6) 安徽省教育厅质量工程项目(2016mooc104 2015mooc151 2016mooc159) 安徽省教育厅创新发展行动计划项目(2016cx46) 2014院级质量工程项目(2014Ygxk01)
关键词 大数据 MOOC 智能关联推荐 视频检索查重 机器化测评 large data MOOC intelligent association recommendation video search check machine evaluation
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