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Integrating Moral Education into News Translation Teaching: A Theme-Based Approach Enhanced with AI Assistance

Author(s)

Xiaoyu Sun

Affiliation(s)

Lingnan Normal University, Zhanjiang, Guangdong, China

Abstract

This study addresses the challenge of effectively integrating moral education into specialized foreign language courses. Focusing on News Translation, it develops and implements a Theme-Based and AI-Assisted pedagogical model. The core innovation lies in deliberately leveraging the inherent limitations of AI translation-such as its frequent errors in handling culture-loaded terms-as catalysts for critical thinking and value judgment. Through a structured process of AI-aided translation and guided critical post-editing, students analyze and correct AI-generated texts, engaging deeply with issues of cultural positioning and ethical responsibility in translation. Preliminary practice indicates this model successfully fosters the integration of professional skill development, critical capacity building, and values internalization. It offers a replicable, structured approach for achieving subtle yet profound moral education within foreign language and translation curricula, moving beyond superficial add-ons to deep, process-based integration. The study concludes with implications for instructional design and assessment in the age of AI.

Keywords

Moral Education; News Translation; Theme-Based Pedagogy; AI-Assisted Instruction; Human-AI Collaboration

References

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