With the rapid development of artificial intelligence technology, Generative Artificial Intelligence (AIGC) technology has emerged and been widely applied. Its application in college foreign language translation teaching holds positive significance. College foreign language translation teaching plays a crucial role in cultivating students' cross-cultural communication competence and pragmatic competence. However, it currently faces issues such as rigid teaching models and delayed feedback mechanisms. This paper takes AIGC technology as the driving force, comprehensively analyzes its application value in college foreign language translation teaching, and proposes innovative strategies from aspects such as constructing a "AI + Teacher" dual-led teaching model and establishing a real-time intelligent feedback mechanism. It is expected to provide useful references for frontline teachers in their teaching practice.
Dan Yang (Tue,) studied this question.