Research on the Innovation of College English Translation Teaching Mode in the context of"AI+Educatiobn information 3.0"
In the context of the"AI+Education Information 3.0"era,exploring the potential applications of arti-ficial intelligence(AI)technology in English translation teaching is of great significance.AI technologies,such as natural language processing,large language models(LLM),and speech recognition,enhance personalized learn-ing,dynamic feedback,and learning efficiency through big data analysis and machine learning.This paper analy-zes the specific roles of AI in the reform of translation teaching,including its advantages in personalized translation ability assessment,real-time speech and grammar correction,intelligent translation evaluation,and big data anal-ysis.Based on the actual needs of translation teaching,it proposes a project-oriented innovative mode of intelli-gent translation teaching and specific implementation strategies.These strategies include constructing simulated translation environments,enriching big data translation resources,incorporating gamified and diversified intelligent translation experiences,providing timely feedback to enhance learning motivation,and utilizing emotional compu-ting to enhance emotional support in translation teaching.These strategies aim to optimize teaching design,enhance teaching effectiveness,and improve teaching quality.The research results indicate that AI can significantly optimize translation teaching methods and improve English learners'translation practice abilities.
AIEnglish translation teachingeducation informatizationpersonalized learningbig data analysis
NETL
NSTL
万方数据
