September 18, 2025SHS Web of ConferencesOpen Access

Challenges and suggestions for the application of artificial intelligence to the evaluation of English translation teaching in colleges

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KJKehan JiangJilin University

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Implication

This analysis reveals challenges in AI evaluation for English translation teaching, suggesting solutions for improved digital literacy and collaboration.

Key Points

AI enhances evaluation methods for English translation teaching but faces challenges like data bias and discrimination.
Despite advantages in quality assessment, there are significant shortcomings in technology and teacher roles.
Suggestions for improvement include optimizing AI tech and enhancing teachers' digital skills to facilitate better evaluation.
Addressing these challenges is crucial as AI's role in education expands, requiring human-machine collaboration models.

Cite This Study

Kehan Jiang (2025) studied this question.

synapsesocial.com/papers/68d462ca31b076d99fa620e5 https://doi.org/10.1051/shsconf/202522201008

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Implication

This analysis reveals challenges in AI evaluation for English translation teaching, suggesting solutions for improved digital literacy and collaboration.

Challenges and suggestions for the application of artificial intelligence to the evaluation of English translation teaching in colleges

Discussion

Member takes

Implication

Key Points

Cite This Study

Challenges and suggestions for the application of artificial intelligence to the evaluation of English translation teaching in colleges

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider