基于计算机算法的在线学习分组方法及应用研究

Research on Online Learning Grouping Method and Its Application

为了提高在线教育课程中学习者的学习效率,设计了一种基于计算机算法的在线学习分组方法。采用自编码神经网络提取学习者的本质特征,利用模糊C均值算法与同质分组策略,将具有相似特征的学习者构成协作学习小组,并以团队形式进行协作学习。实验结果表明,应用本文设计的分组方法进行分组后,有效提高了学习者的学习效率,具有较好的实际应用效果。

In order to improve the learning efficiency of learners in online education courses,this paper designs an online learning grouping method based on computer algorithm.The self coding neural network is used to extract the essential characteristics of learners,and the fuzzy C-means algorithm and homogeneous grouping strategy are used to form a cooperative learning group of learners with similar characteristics,and collaborative learning is carried out in the form of a team.The experiment shows that the learners’learning efficiency has been improved after grouping with the grouping method designed in this paper,which has a good practical application effect.