Exploring the International Chinese Language Education Exchange and Cooperation Model Combining Information Fusion Technology

Authors

  • Zhe Li

Keywords:

Information fusion technology, Collaborative filtering algorithm, Similarity measure, Penalty factor, Chinese educational communication.

Abstract

Using information fusion technology to explore the exchange and cooperation model of international Chinese language education is to promote the globalization of Chinese language education. In this paper, firstly, the similarity measure of collaborative filtering algorithm is used for user information collection and identification, and then the similarity measure is improved with weighted coefficients and weighted similarity, and penalty factors are introduced to optimize the collaborative filtering algorithm, based on which an international Chinese language wisdom education platform is constructed. A multi-dimensional evaluation analysis is conducted for the constructed wisdom education platform, and the mean absolute error and root mean square error are used as evaluation indexes to verify the rationality and practicality of the international Chinese wisdom education platform. In terms of information collection and storage capacity, the operation rate of the smart education platform in this paper is 5124 rows/s for random writes and 3583 rows/s for sequential writes, and the respective CPU occupancy rates are 16.36% and 14.96%. In terms of transfer rate, the platform in this paper is 1.95 times and 0.75 times higher than that of OTraining system and MOOC platform. From the practicality data, the average absolute error and root mean square error of this paper are 0.36% and 0.256%, respectively. It can be seen that the international Chinese wisdom education platform built based on information fusion technology in this paper can effectively improve the communication between users and promote the globalization of international Chinese education.

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Published

2023-07-01

Issue

Section

Articles