Analysis of Artificial Intelligence in Cultivating College Students’ Business Japanese Proficiency
A Teaching Case of Foreign Trade Correspondence
- DOI
- 10.2991/978-2-38476-479-2_30How to use a DOI?
- Keywords
- AI; Business Japanese Proficiency; Foreign Trade Correspondence
- Abstract
Driven by both the reconstruction of the globalized trade ecosystem and the innovation of technological paradigms, business Japanese education is undergoing a cognitive leap from the “language-as-tool theory” to the “language-as-strategic-interface theory”1. The traditional teaching paradigm is confronted with the dilemma of rigidly reproducing practical scenarios, making it difficult to cultivate new types of business talents with cognitive flexibility and decision-making agility2. Beyond the traditional perspective of technology as a tool, this paper focuses on the AI-empowered intelligent competence enhancement framework, particularly by integrating the AI prompt-driven autonomous learning model3. By analyzing the integration mechanism of language proficiency, business knowledge, and AI technology, this study provides empirical evidence for the effectiveness of AI in business Japanese education.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yijing Cai PY - 2025 DA - 2025/11/19 TI - Analysis of Artificial Intelligence in Cultivating College Students’ Business Japanese Proficiency BT - Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025) PB - Atlantis Press SP - 260 EP - 266 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-479-2_30 DO - 10.2991/978-2-38476-479-2_30 ID - Cai2025 ER -