Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities

Shuyue Zhang

doi:10.47297/wspiedWSP2516-250023.20250901

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Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities

9卷第1期

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Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities
Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities
School of Foreign Languages, Shenyang University of Technology, Shenyang, Liaoning, 110870, China
2025年9卷第1期页码：113-117
纸质出版日期：2025-01-20
DOI：10.47297/wspiedWSP2516-250023.20250901
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Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities[J]. 国际教育与发展（英文版）, 2025,9(1):113-117.

Zhang Shuyue.Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities[J].Journal of International Education and Development,2025,09(01):113-117.
Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities[J]. 国际教育与发展（英文版）, 2025,9(1):113-117. DOI： 10.47297/wspiedWSP2516-250023.20250901.

Zhang Shuyue.Exploring the Impact of AI Tools on Translation Pedagogy and Student Outcomes in Chinese Universities[J].Journal of International Education and Development,2025,09(01):113-117. DOI： 10.47297/wspiedWSP2516-250023.20250901.

摘要

Abstract

The integration of Artificial Intelligence (AI) tools into translation education has transformed teaching methodologies and student outcomes

particularly in Chinese universities. Tools such as Neural Machine Translation (NMT) systems and Computer-Assisted Translation (CAT) platforms enhance efficiency

accuracy

and strategy acquisition. However

concerns over over-reliance

reduced critical thinking

and ethical implications persist.This study investigates the impact of AI tools on translation pedagogy and student learning

utilizing surveys from 300 students and 52 teachers. Results highlight improved learning efficiency and engagement but reveal challenges in dependency

skill depth

and curriculum integration. Ethical concerns

including data privacy and algorithmic bias

further complicate adoption. Findings suggest that balanced curriculum designs

incorporating critical engagement

iterative learning

and ethical training

are essential for effective AI integration. This research provides theoretical insights and practical strategies for leveraging AI tools to advance translation education while safeguarding critical and creative competencies.

关键词

Keywords

references

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