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An Efficient Teaching Model of International Cooperation Based on Artificial Intelligence
Author(s) -
Meng Xiao,
Haibo Yi
Publication year - 2021
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2021/7049857
Subject(s) - exploit , computer science , order (exchange) , quality (philosophy) , scale (ratio) , engineering management , software , mathematics education , engineering , business , psychology , computer security , philosophy , physics , finance , epistemology , quantum mechanics , programming language
International cooperation in running schools has promoted the scale of higher education and trained a number of talents with international vision. However, there are many differences between domestic teaching and foreign teaching in the international cooperation in running schools. This makes it difficult for students to adapt to the teaching of foreign universities. Connecting domestic teaching with foreign teaching and solving the problem of differentiation has become an important issue in international cooperation in running schools. In order to improve the quality of international cooperation of high education, it is very urgent to design an efficient model of international cooperation. We exploit artificial intelligence to design a teaching model of international cooperation. We implement the effective model of international cooperation in logistics management and software technology, where the implementation results show that the model can provide learning suggestions of the foreign stage according to the learning situation of the domestic stage.

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