e-Learning, e-Education, and Online Training. 4th International Conference, eLEOT 2018, Shanghai, China, April 5–7, 2018, Proceedings

Research Article

An Early-Warning Method on e-Learning

  • @INPROCEEDINGS{10.1007/978-3-319-93719-9_9,
        author={Jinlong Liu and Zhutian Yang and Xiangyuhan Wang and Xingrui Zhang and Jianying Feng},
        title={An Early-Warning Method on e-Learning},
        proceedings={e-Learning, e-Education, and Online Training. 4th International Conference, eLEOT 2018, Shanghai, China, April 5--7, 2018, Proceedings},
        proceedings_a={ELEOT},
        year={2018},
        month={7},
        keywords={Big data Early-warning e-Learning Prediction modeling Promote teaching effect},
        doi={10.1007/978-3-319-93719-9_9}
    }
    
  • Jinlong Liu
    Zhutian Yang
    Xiangyuhan Wang
    Xingrui Zhang
    Jianying Feng
    Year: 2018
    An Early-Warning Method on e-Learning
    ELEOT
    Springer
    DOI: 10.1007/978-3-319-93719-9_9
Jinlong Liu1,*, Zhutian Yang1,*, Xiangyuhan Wang2,*, Xingrui Zhang1,*, Jianying Feng1,*
  • 1: Harbin Institute of Technology
  • 2: Harbin No.3 High School
*Contact email: yq20@hit.edu.cn, yangzhutian@hit.edu.cn, wangxyh@yeah.net, zhangxr@hit.edu.cn, fengjy@hit.edu.cn

Abstract

Early-warning is an important way which can promote teaching effect on e-learning. However design a better system of early-warning based on big data is an open issue. This paper systematically analyses five key factors which act on e-learning, compare the effect on early-warning, summarize the insufficient of existing systems. Besides one kind of system framework on e-learning proposed, the system establishes functional model and procedural model for early-warning system. Research results show that the system can promote teaching effect for e-learning and can benefit the development of early-warning model.