DeepSeek in Foreign Language Education:Innovations, Technical Boundaries and Future Trajectories

DOI: https://doi.org/10.62517/jhet.202515616

Author(s)

Huang Shanshan

Affiliation(s)

Guangdong Engineering Polytechnic, Guangzhou, China

Abstract

The rapid advancement of AIGC has created transformative opportunities for foreign language education in higher education. DeepSeek, its innovative applications—such as AI-assisted instruction, learning, assessment, and research—demonstrate significant potential to enhance instructional efficiency, support individualized student learning, and reduce educators’workloads. However, integrating DeepSeek into language education also reveals technical limitations, including risks of over-reliance that may weaken students’critical thinking and challenges in defining academic integrity boundaries. Future research should prioritize human-AI collaborative teaching models, develop "guidance-oriented" (rather than answer-driven) AI tools,and Investigate into "AI-resistant assessment" frameworks.

Keywords

Generative Artificial Intelligence (AIGC); DeepSeek; Digital Transformation of Foreign Language Teaching

References

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