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.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, J., Yang, Z., Wang, X., Zhang, X., Feng, J. (2018). An Early-Warning Method on e-Learning. In: Liu, S., Glowatz, M., Zappatore, M., Gao, H., Jia, B., Bucciero, A. (eds) e-Learning, e-Education, and Online Training. eLEOT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 243. Springer, Cham. https://doi.org/10.1007/978-3-319-93719-9_9
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DOI: https://doi.org/10.1007/978-3-319-93719-9_9
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