摘要
当前智能教学系统没有考虑教学资源的大规模、海量特性,使得智能教学系统的性能低,教学资源利用率不高,为了更好地提高教学效果,提出大数据分析技术的智能教学系统。首先,分析当前智能教学系统的研究进展,建立智能教学系统的总体结构;然后,重点描述了大数据推荐模块和教学质量评估模块;最后,对智能教学系统的有效性和优越性进行了测试。结果表明,所设计智能教学系统提高了教学资源利用率,其可以根据学生实际情况进行个性化学习资源推荐,性能要显著优于当前其他智能教学系统,具有更加广泛的应用前景。
The large-scale and massive characteristics of the current teaching resources has not been taken into account in the intelligent teaching system,which makes the system performance low and the utilization rate of teaching resources not high.Therefore,an intelligent teaching system based on big data analysis technology is proposed to improve the teaching effect.The research progress for the current intelligent teaching systems are analyzed.The overall structure of the proposed intelligent teaching system is established.And then,the big data recommendation module and teaching quality evaluation module are described emphatically.Finally,the effectiveness and advantages of the proposed system are tested.The results show that the designed intelligent teaching system improves the utilization rate of teaching resources and can implement personalized learning resource recommendation according to the actual situation of students,so its performances are significantly better than other intelligent teaching systems.Therefore,it has a wider application prospect.
作者
刘一虹
LIU Yihong(Jiangxi University of Engineering,Xinyu 338000,China)
出处
《现代电子技术》
2021年第7期178-182,共5页
Modern Electronics Technique
基金
江西省教育厅科学技术研究项目(181139)
关键词
大数据分析技术
教学资源
教学质量评估
智能教学系统
个性化学习
资源推荐
big data analysis technology
teaching resource
teaching quality evaluation
intelligent teaching system
personalized learning
resource recommendation
