A Case Study on Blended Teaching of Chinese-English Translation in the Era of Artificial Intelligence

This article explores in-class practice of blended teaching of Chinese-English (C-E) translation for English as a Foreign Language (EFL) majors in the era of artificial intelligence (AI).It examines the opportunities and challenges AI presents in enhancing translation education, particularly in fostering student engagement, improving teaching efficiency, and promoting self-motivated learning.Case study suggests that AI can enhance the flexibility of teaching and motivate students, yet challenges such as over-reliance on AI and diminished critical thinking need to be addressed.While acknowledging the indispensability of human translators, the article concludes that effective blended teaching requires purposeful curriculum design, proper integration of AI, and a collaborative effort of teachers and students to maximize the potential of AI while ensuring high-quality, independent learning outcomes.