Research on the Three-Dimensional Teaching System of Foreign Tourist and Catering Management Based on Online Survey

Ying, Qiang

doi:10.14257/ijdta.2016.9.4.19

Cited by 1 publication

(1 citation statement)

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“…The average quality of Chinese talents, especially international talents, is falling behind the international level [7][8][9][10][11]. For the foreign trade industry which is particularly important for China, if we want to effectively change its development mode and improve the applicability of high-level international talents in this industry, the first thing to do is to make efforts to increase the proportion of high-level international talents [12][13][14][15][16][17][18]. By analyzing the foreign trade business or other jobs that high-level international talents are engaged in, it's found that the evaluation of the cultivation quality of high-level international talents from a practical point of view is an important factor and a basic work for the introduction of these talents.…”

Section: Introductionmentioning

confidence: 99%

The Cultivation Quality Evaluation of International Talents Based on Deep Learning

Jia¹,

Li²,

Zhao³

2022

Int. J. Emerg. Technol. Learn.

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The average quality of Chinese talents, especially international talents, is falling behind the international level. For the introduction of high-level international talents, the evaluation of the cultivation quality of high-level international talents is an important factor, and this work is a basis of the said matter. However, most of the existing works related to this topic are just about the definitions of high-level international talents, their features, and importance, or discussions of other aspects. This paper aims to study the evaluation of the cultivation quality of international talents based on deep learning. At first, the paper gave a framework for the ideas of international talent cultivation, established an Evaluation Index System (EIS) containing 4 basic elements for such evaluation, and emphasized the importance of the training and testing of professional business English. At first, the paper gave a framework for the ideas of international talent cultivation, and established an Evaluation Index System (EIS) containing 4 basic elements for such evaluation. Then, this paper proposed the evaluation flow, and adopted an Empirical Mode Decomposition (EMD) algorithm to the analysis of the quality change during the cultivation process of international talents. After that, for the change trend of the cultivation quality of international talents at different time scales, this paper applied a Long Short Term Memory (LSTM) network for training and obtained the corresponding predicted quality value. At last, experimental results verified the effectiveness of the proposed model in predicting the cultivation quality evaluation of international talents.

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