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Translation and Foreign Language Learning

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ArticleMulti-perspective Studies of Foreign Languages Learning http://dx.doi.org/10.26855/tfll.2025.08.025

Research on Teaching Reform of College English Translation Course Based on Deep Learning Concept

Bin Hu*, Li Shi

Hunan Institute of Engineering, Xiangtan 411104, Hunan, China.

*Corresponding author: Bin Hu

Published: July 29,2025

Abstract

Deep learning is a set of learning concepts involving comprehensive participation and development of teachers and students in cognition, emotion, and skills. It aims to develop learners’ higher-order thinking, thereby enabling them to acquire key competencies. College English translation courses emphasize practice, and students’ acquisition of translation competence requires teachers to construct a deep learning model for translation courses. However, current college English translation teaching faces urgent issues such as unitary goal setting, insufficient alignment of teaching content with industry development, and outdated teaching models. Combined with the requirements of educational digitalization for college English translation courses, this study, based on expounding the connotation of deep learning theory, proposes reforms from aspects such as high-order curriculum goals, “three alignments” in teaching process, “three coverages” in content, and a three-stage linked teaching model: pre-class, in-class, and post-class, aiming to improve the teaching quality of college English translation courses.

Keywords

College English translation course; Deep learning; Teaching reform

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How to cite this paper

Research on Teaching Reform of College English Translation Course Based on Deep Learning Concept

How to cite this paper: Bin Hu, Li Shi. (2025). Research on Teaching Reform of College English Translation Course Based on Deep Learning Concept. Translation and Foreign Language Learning1(1), 156-161.

DOI: http://dx.doi.org/10.26855/tfll.2025.08.025