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Research on Blended Teaching Design of International Trade Practice Course Based on AIGC

DOI: 10.4236/oalib.1113720, PP. 1-17

Subject Areas: Pedagogy

Keywords: AIGC, The International Trade Practice Course, Blended Teaching Design

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Abstract

With the continuous development of information technology, the application of Artificial Intelligence Generated Content (AIGC) in the field of education is becoming increasingly widespread. This study combines the characteristics and needs of the International Trade Practice Course to explore a blended teaching design based on AIGC. The aim is to optimize the theoretical knowledge module, practical operation module, and case analysis module in the teaching content by introducing artificial intelligence technology. A blended teaching design method combining online and offline is adopted, which includes 1) online self-learning, 2) offline practical operation, 3) AIGC tool assisted practice for individual trade links, and 4 Comprehensive trade links classroom discussions and interactions to enhance students’ learning outcomes and satisfaction. Evaluations were conducted during and after the course. The results indicate that this teaching design can significantly improve students’ learning interest, self-learning ability, and practical operation ability, providing new ideas and methods for the teaching reform of the International Trade Practice Course.

Cite this paper

Fan, Q. (2025). Research on Blended Teaching Design of International Trade Practice Course Based on AIGC. Open Access Library Journal, 12, e3720. doi: http://dx.doi.org/10.4236/oalib.1113720.

References

[1]  Li, Y.Z. (2023) Pioneering a New Path for Educational Development through Digitalization. People’s Daily, p. 9.
[2]  Zheng, J.Y. (2022) Application of Blended Teaching Model in the Cultural Value Leadership of Higher Education Institutions. Chi-nese Journal of Multimedia and Network Teaching, No. 9, 77-80.
[3]  Zhou, Z.X. (2023) Construction and Exploration of Virtual Simulation Experimental Teaching for the International Trade Practice Course under the Background of the “Belt and Road” Initiative. Industry Science and Technology Forum, No. 8, 124-127.
[4]  Zhan, Z.H. (2023) The Intrinsic Mech-anism, Representation Forms, and Risk Mitigation of Embedding ChatGPT into the Educational Ecosystem. Modern Distance Education, No. 4, 3-13.

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