面向个性化学习的MOOC资源库系统开发

Development of MOOC resource library system for personalized learning

近年来基于MOOC的在线学习方式开始大规模普及,但是,海量的MOOC资源纷繁复杂,各大MOOC学习平台之间的课程数据也并未实现整合共享,从而使学习者在挑选合适的学习资源时面临极大困难。因此,设计并实现了一个面向个性化学习的MOOC资源库系统。文章介绍了该系统的整体结构、课程数据分类与建模方法、课程资源与知识点的映射方法、资源爬虫的设计和系统集成情况。该系统具有良好的实用性和可扩展性,可为个性化学习的MOOC推荐平台提供关键的基础数据及相关资源。

In recent years,MOOC online learning has been popularized on a large scale.However,the online MOOC resources are numerous and complicated,and the course data among the major online MOOC learning platforms has not been integrated and shared,so that the learners face great difficulties in selecting suitable learning resources.Aiming at this issue,a MOOC resource library system for personalized learning was designed and implemented.The overall structure of the system,curriculum data classification and modeling methods,curriculum resources and knowledge points mapping methods,resource crawler design and system integration effects are introduced in this paper.The system has good practicability and scalability,and can provide key basic data and related resources for the MOOC personalized learning recommendation platform.