基于大数据群体画像的个性化学习环境构建的研究

个性化学习环境是网络学习环境的高端形态,是信息化教学时代学习者对网络学习环境的新需求,也是未来教育发展的方向。研究构建了一种结合学生线上学习大数据采集、大数据预处理、语义化标签提取、群体画像挖掘等相关技术于一体的学习者群体画像挖掘路径,深度挖掘学习者画像与学习资源间的隐性关联,实现个性化学习环境构建与用户的精准匹配,达到对学生进行个性化的指导,提升学习效果的目的。

Individualized learning environment is the high-end form of the network learning environment,the new demand of learners for the network learning environment in the era of information-based teaching,and the direction of future education development.This research constructs a learner group portraits mining path which combines the technologies of big data acquisition,big data preprocessing,semantic tag extraction,group portraits mining and so on,meanwhile explores the hidden relationship between learner persona and learning resources,thus realizing the precise matching between the construction of personalized learning environment and users,and providing personalized guidance for students so as to improve their learning efficiency.