In the past three years, the COVID-19 pandemic has spurred the rapid development of online education around the world, which has also brought enormous impact to the traditional classroom teaching model of translation and interpreting majors. Furthermore, the emergence of human-machine interactive language models represented by ChatGPT since the end of 2022 has set off a new wave of artificial intelligence, with AI-generated content (AIGC) poised to become a prominent method for content production. These developments present unprecedented opportunities and challenges for translation education.
Against this backdrop, we hope to explore in this special issue the impact of technological breakthroughs in AI on translation education at the university level. Specifically, we seek to investigate: What goals and objectives of translation education should we achieve in the era of AI? How should translation educators adapt to this new trend and inspire innovation in curriculum and textbook design? How can students better learn AI-assisted translation technology to improve translation quality and efficiency? How can translation teachers use AI to innovate translation teaching methods and improve their teaching assessment and testing procedures? We also aim to explore the translation competence required for students and the career development for translation teachers to thrive in the era of AI, and examine how to navigate ethical issues and identity crises that arise from technological innovations in the teaching environment.
We anticipate that this exploration will open up new avenues for exploring future directions and prospects in studies on translation education in the era of AI. With this ultimate goal in mind, we will welcome both theoretical and methodological reflections, as well as papers based on empirical approaches.
Topics that could be addressed include, but are not limited to the following:
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Deadline for abstracts: 20 December 2023
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