Scenario-Based Teaching Design of International Trade Practice Based on Deep Learning

Zhenfeng Lan and Lianhui Li

Mathematical Problems in Engineering, 2022, vol. 2022, 1-10

Abstract: In the context of the fourth global industrial revolution, the trading environment of international trade is undergoing profound changes. In today’s deep integration of globalization, the teaching mode of economic application courses—international trade practice situational teaching mode—is bound to change. This article sorts out the problems existing in the curriculum from the perspectives of the integration of the practical curriculum, the cohesion of the trade process, and the teaching concepts and methods. On the basis of deep learning, a situational teaching design process of international trade practice is constructed.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6927596

DOI: 10.1155/2022/6927596

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