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This study investigates the transformative effects of digital intelligence on translator education through a theoretical and exploratory approach, employing both bibliometric and content analysis to derive its findings. It systematically examines the evolution of translator training methodologies through the integration of AI, ChatGPT, large language models (LLMs), and 5G, providing a comprehensive framework for understanding these changes. Key findings reveal that personalized learning, supported by digital tools, significantly enhances student engagement and skill acquisition. However, challenges such as ensuring data quality, mitigating excessive dependence on technology, and maintaining ethical standards persist. The study underscores the critical necessity of developing advanced training platforms and strategies that foster effective teacher-student interactions and uphold academic integrity. Furthermore, it emphasizes the importance of continuous innovation in educational practices to equip future translators for the demands of a digital and highly connected world. These insights offer valuable guidance for educators and policymakers in crafting curricula that are both forward-thinking and resilient.
Xujun Tian (Tue,) studied this question.