远程教育学习者画像系统设计研究
Research on the Design of Distance Education Learner Portrait System

随着社会的发展、互联网的普及，在线学习已经逐渐成为远程教育学习者的主要学习方式，本文利用远程教育学习者在在线学习教育中产生的数据研究，设计了远程教育学习者画像系统，在最终的可视化系统中主要展示了两个部分，一个是远程教育学习者的基本信息和作业预警模块，班主任可以根据预测数据，提前对学生进行作业干预；另一个是个性化推荐模块(含教师推荐、课程推荐、小组成员推荐)，可以根据学习者往期的学习行为实现个性化推荐，基于上述两点可以为学生提供更具有针对性、个性化的学习支持服务。
With the development of society, the popularization of the Internet, online learning has gradually become the main learning mode of distance education learners. This paper uses the data generated by distance education learners in online learning education to study and design a distance education learner portrait system, and mainly shows two parts in the final visualization system: one is the basic information and homework early warning module of distance education learners, and teachers or class teachers can intervene with students in advance according to the predicted data; the other is the personalized recommendation module (including teacher recommendation, course recommendation, and group member recommendation), which can realize personalized recommendation according to the learner’s previous learning behavior, and can provide students with more targeted and personalized learning support services based on the above two points.