@inproceedings{34d66119efbe43d3889f942ca4fe2dfb,
title = "An early-warning method on e-learning",
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.",
keywords = "Big data, Early-warning, Prediction modeling, Promote teaching effect, e-Learning",
author = "Jinlong Liu and Zhutian Yang and Xiangyuhan Wang and Xingrui Zhang and Jianying Feng",
note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 4th International Conference on e-Learning, e Education, and Online Training, eLEOT 2018 ; Conference date: 05-04-2018 Through 07-04-2018",
year = "2018",
doi = "10.1007/978-3-319-93719-9\_9",
language = "英语",
isbn = "9783319937182",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "62--72",
editor = "Marco Zappatore and Honghao Gao and Bing Jia and Matt Glowatz and Alberto Bucciero and Shuai Liu",
booktitle = "e-Learning, e-Education, and Online Training - 4th International Conference, eLEOT 2018, Proceedings",
address = "德国",
}