【摘要】 随着社会的发展,人们进行学习的方式也变的越来越多样化,随着移动学习、慕课等学习方式的出现,网络学习也进入人们的视野。由于互联网上的资源数量庞大、类型丰富,学习者检索困难,因此,对于个性化学习的资源推送的要求越来越高。本文构建了一个具有数据收集层、数据分析层和资源推送层的个性化学习资源精准推送模型,通过对学生的学习行为数据进行分析,进而找到最适合学习者特点的专属资源推送给学习者,来进行对学习效率的提高。更多还原

【Abstract】 With the development of society, people’s learning methods have become more and more diverse. With the emergence of mobile learning, classes and other learning methods, online learning has also entered people’s horizons. Because of the huge amount of resources on the Internet, the rich types of resources, and the difficulty of learner retrieval, the requirements for personalized learning resources are increasingly high. This paper constructs an accurate model of individualized learning resources with data collection layer, data analysis layer and resource push layer. Through analyzing the student’s learning behavior data, we find the exclusive resources that are most suitable for learners to push to learners. To improve learning efficiency.更多还原