Research on MTI Talent Cultivation from the Perspective of Translation Technology Teaching in the AI Era

Yan Zhang

Artificial Intelligence and Digital Technology, 2025, vol. 2, issue 1, 41-48

Abstract: In response to the rapid development of artificial intelligence (AI) and digital technologies, the translation industry is experiencing profound and unprecedented changes, which bring about new and complex requirements for talent cultivation. This study critically examines the current landscape of translation technology education within Master of Translation and Interpreting (MTI) programs in China and proposes targeted optimization strategies to overcome existing challenges. The research highlights three essential shifts necessary for the effective development of MTI professionals: first, a transition from conventional language-centered teaching approaches to methodologies that meet the evolving demands of the AI-driven era; second, a movement from isolated academic training towards comprehensive industry-aligned education that bridges theory and practice; and third, an evolution from solely transmitting knowledge to cultivating multifaceted competencies that integrate technical skills, cultural awareness, and critical thinking. Throughout these transformations, maintaining a dynamic and harmonious balance between pragmatic instrumental rationality and enduring humanistic values remains a fundamental priority.

Keywords: artificial intelligence; translation technology teaching; MTI talent cultivation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:axf:aidtaa:v:2:y:2025:i:1:p:41-48

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