An Efficient Teaching Model of International Cooperation Based on Artificial Intelligence

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 dif...

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Veröffentlicht in:Scientific programming Jg. 2021; S. 1 - 7
Hauptverfasser: Xiao, Meng, Yi, Haibo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 30.09.2021
John Wiley & Sons, Inc
Schlagworte:
Artificial intelligence
Colleges & universities
Computer networks
Deep learning
Distance learning
Education
Foreign students
Higher education
Information technology
International cooperation
Java
Learning
Logistics
Logistics management
Medical imaging
Neural networks
Project management
Software
Sports injuries
Study abroad
China
ISSN:1058-9244, 1875-919X
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1058-9244
1875-919X
DOI:10.1155/2021/7049857