基于教育大数据的课程授课教师推荐系统设计

Design of Course Teacher Recommendation System Based on Education Big Data

为了能有效地采集教务管理信息平台和各类教学信息平台中的相关数据形成教育大数据,实现课程授课教师推荐系统,首先将系统划分成数据采集、数据建模和授课推荐三个子系统,并对各子系统的主要构成元素和使用的主要方法进行了规范,然后采用UML建模技术,对系统的用例建模、静态建模和动态建模进行了分析与设计,从而为后期开发实现课程授课教师推荐系统提供了技术指导。

To effectively collect the relevant data from educational administration management information platform and various teaching information platforms to form education big data,and realize the course teacher recommendation system,the system is firstly divided into three subsystems:data acquisition,data modeling and teaching recommendation,and the main components and main methods of each subsystem are standardized,and then UML modeling technology is adopted to analyze and design the use case modeling,static modeling and dynamic modeling of the system,so as to provide technical guidance for the later development and implementation of the course teacher recommendation system.