AI-Enabled Japanese-Chinese Translation Teaching: 
Practice and Effectiveness in Vocational Education

Ranyang Qin

doi:10.70711/wef.v3i7.8533

AI-Enabled Japanese-Chinese Translation Teaching: Practice and Effectiveness in Vocational Education

Ranyang Qin

Abstract

Against the backdrop of rapid AI development, vocational Japanese translation teaching faces the dual challenge of technological
disruption and talent demand transformation. This study explores the practice of AI-enabled Japanese-Chinese translation teaching for vocational students majoring in Applied Japanese. Addressing the limitations of traditional resources, this paper proposes that adjusting teaching
resourcessuch as developing open digital textbooksis the foundation for teaching goal transformation. Based on the "post-class-competition integration" concept, a four-stage progressive teaching framework (basic cognition, skill training, project practice, comprehensive assessment) was constructed. Data from 120 students over three academic years were collected. The results show that AI-enabled teaching significantly improves students' classroom participation, reduces translation error rates, and enhances their practical translation ability and cross-cultural
communication competence. This study provides practical references for the digital transformation of vocational foreign language teaching.

Keywords

AI empowerment; Japanese translation teaching; Vocational education; Digital resources; Human-machine collaboration

Full Text:

PDF

Included Database

References

[1] Jiao W, Wang W, Huang J T, et al. Is ChatGPT a good translator? Yes with GPT-4 as the engine[J]. arXiv preprint arXiv:2301.08745,

2023.

[2] Sutanto V M, De Giacomo G G, Nakazawa T, et al. ChatGPT as a Translation Engine: A Case Study on Japanese-English[J]. arXiv preprint arXiv:2510.08042, 2025.

[3] Godwin-Jones R. Integrating generative AI into L2 pedagogy: Challenges and opportunities[J]. Language Learning & Technology, 2024,

28(1): 1-19.

[4] Wang P, Li X. Digital transformation of vocational education: Logic, framework and path[J]. Journal of East China Normal University

(Educational Sciences), 2023, 41(3): 1-12.

[5] Kohnke L, Moorhouse B L. Facilitating synchronous online language learning through Zoom and ChatGPT: An autoethnographic

study[J]. RELC Journal, 2023. https://doi.org/10.1177/00336882231182186

DOI: http://dx.doi.org/10.70711/wef.v3i7.8533

Refbacks

There are currently no refbacks.