The course is divided into several fragments by teachers according to understanding of the course, focus and difficulty of the course, integrity of the basic concepts. The learning needs of learners in the whole process is rarely considered that micro-course can not be recognized by the learners. To be more scientific, reasonable micro-course, the learning needs of the learner should be take full account. The information of users watch a video in network learning system was clustered by the improved LF algorithm, after clustering each category represents a learning type of user, cluster centers for each class is the class user demand for micro-course. Ant colony clustering not only be a-ble to get different types of user groups, but also get the different categories of micro-course. Different micro-course for different users can improve learning efficiency and achieve personalized learning system.%课程微型化过程往往是教师根据自身对课程的认识,课程的重点、难点及基本概念完整性等将课程划分为若干片段.在整个过程中对学习者的学习需求很少考虑,造成很多课程微型化不能得到学习者的认可.为了更加科学、合理的将课程微型化,必须充分考虑学习者的学习需求,收集网络学习系统用户观看视频教程的学习过程信息,使用改进的LF算法对学习过程信息进行聚类,聚类后的每个类别表示一种学习类型的用户,而每个类的聚类中心正是该类用户对课程微型化的需求.通过蚁群聚类不但能够得到不同类型的用户群,而且还能得到不同类别的课程微型化,针对不同的用户采用不同的微型化课程,既能提高学习者的学习效率还能实现在线学习系统的个性化.
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