Integrating AI and Ecological Translation in Language Service Training

Yongcai Li and Anqi Dou

Education Insights, 2024, vol. 1, issue 2, 1-7

Abstract: This study explores how integrating Artificial Intelligence (AI) with Ecological Translation Theory (ETT) can advance the development of composite language service professionals. AI enhances training by creating adaptive learning environments, personalizing experiences, and improving curricula, all while aligning with ETT’s focus on contextual translation. AI simulations and real-time feedback prepare learners for real-world challenges, and personalized training adapts to individual needs. Enhanced curricula reflect industry trends and technological advancements. The study also examines strategies for balancing the language service supply chain, including industry-academic collaboration and specialized training programs. This integration offers a pathway to more effective and relevant professional development in the language service sector.

Keywords: Artificial Intelligence (AI); Ecological Translation Theory (ETT); curriculum design; adaptive learning environments; composite language service professionals (search for similar items in EconPapers)
JEL-codes: I20 (search for similar items in EconPapers)
Date: 2024
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