Construction of a Model for Optimizing the Allocation of Chinese International Education Resources Based on Deep Learning

Chinese international education resources are all kinds of materials, designs, tools and so on that can be widely used and reused in the process of Chinese international promotion and teaching. Resources should not only be limited to teaching materials, but also include website development, teaching base construction, teacher training and reserve, etc. This study proposes to use deep learning, a common AI technology, to solve the problem of Chinese international education resources allocation and build an optimal allocation model of Chinese international education resources. Taking the allocation index system of Chinese international education resources as the input of neural network, and the measured value of balance as the output. This study analyzes the relevant data of resource allocation of Chinese international education in a province. The results show that before the allocation, the comprehensive efficiency of resource allocation among other cities is relatively low except for a few cities. After the distribution, this model can effectively use resources in the whole province and narrow the gap between cities. The empirical analysis shows that the model is correct and effective, and it has important practical significance for the optimal allocation of Chinese international education resources, and also has certain reference value for the optimal allocation of Chinese international education resources in China.