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 .

Highlights

  • As the political pluralism, cultural diversity and economic globalization are developing rapidly around the world in recent years, the comprehensive national power of China is improving and the Chinese rejuvenation keeps moving ahead

  • Phenomena such as “craze for Chinese language” and “craze for Chinese culture” successively come up in various countries of the world, and Confucius Institutes and Confucius Classrooms have been established in many regions in recent years[1,2]

  • We presents an intelligent recommendation model for oversea Chinese education resource based on cloud computing

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Summary

INTRODUCTION

Cultural diversity and economic globalization are developing rapidly around the world in recent years, the comprehensive national power of China is improving and the Chinese rejuvenation keeps moving ahead. The popularization of Chinese culture flourishes and new opportunities are presented for the oversea Chinese education Phenomena such as “craze for Chinese language” and “craze for Chinese culture” successively come up in various countries of the world, and Confucius Institutes and Confucius Classrooms have been established in many regions in recent years[1,2]. Intelligent terminal, cloud computing and the technologies on internet of things continuously develop in recent years, the data presents an explosive growth and the picture scroll of the big data age is unfolding. We presents an intelligent recommendation model for oversea Chinese education resource based on cloud computing. Some discuss and conclusions are given on the model

RESOURCE RECOMMENDATION MODEL FOR
Student vector space model
StudentClustering
The recommendation of Chinese educational resources
THE OVERSEA CHINESE EDUCATION MODEL BASED ON MAP-REDUCE MECHANISM
Map-Reduce mechanism ofCloud computing
Parallel implementation of the model
EXPERIMENT AND ANALYSIS
Two nodes

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