Research Article
An Early-Warning Method on e-Learning
434 downloads
@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
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.
Copyright © 2018–2024 EAI
