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

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  • Zhenfeng Lan
  • Lianhui Li

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.

Suggested Citation

  • Zhenfeng Lan & Lianhui Li, 2022. "Scenario-Based Teaching Design of International Trade Practice Based on Deep Learning," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, September.
    • Handle: RePEc:hin:jnlmpe:6927596
    DOI: 10.1155/2022/6927596
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