Personalized Overseas Chinese Education Model Based on Map-Reduce Model of Cloud Computing

Authors

  • Zhehuang Huang School of Mathematics Sciences,Huaqiao University,362021, Quanzhou ,China
  • Jianxin Huang School of Mathematics Sciences,Huaqiao University,362021, Quanzhou ,China

DOI:

https://doi.org/10.3991/ijet.v11i04.5254

Keywords:

Overseas Chinese education, cloud computing, Map-Reduce, online learning, student modeling

Abstract


The rapid updates of the resources and media in the big data age provide new opportunities for oversea Chinese education. It is an urgent task to effectively use the big data to boost the development of oversea Chinese education. However, very few studies are conducted in this area. Map-Reduce is a programming model of cloud computing used for the parallel computing of the large-scale data sets and this model enables programmers to run their own programs in the distributed system. In this paper we proposed a personalized overseas Chinese education model based on Map-Reduce mechanism , which can analyze the behavioral habits and personal preferences of users from a large pool of Chinese educational resources. In this way, the customer needs can be accurately grasped and their favorite resources are recommended from huge amounts of resources. The proposed model has a good application prospect for overseas Chinese education .

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Published

2016-04-05

How to Cite

Huang, Z., & Huang, J. (2016). Personalized Overseas Chinese Education Model Based on Map-Reduce Model of Cloud Computing. International Journal of Emerging Technologies in Learning (iJET), 11(04), pp. 16–20. https://doi.org/10.3991/ijet.v11i04.5254

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Papers