AI-Driven Translation Education: Opportunities and Challenges for Personalized Learning

In recent years, the application of artificial intelligence (AI) in language education and translation practice has aroused wide concern. However, the gap between the research and practice on its role in driving personalized translation learning still exists. This paper takes the impact of AI on personalized translation learning as the theme, systematically analyzing the AI's value in translation education, the current limitations, and future improvement directions. The main finding of this paper is that AI technology can support translation learning by providing instant feedback and data analysis, while it still faces challenges in unstable technology, the marginalization of teachers and ethical risks. Based on this, this paper suggests optimizing the accuracy and data security of the AI model at the technical level, promoting the collaboration system between teachers and AI from an educational perspective, and cultivating the ability of learners to balance dependence and autonomy to achieve the sustainable development of personalized translation learning.