Research on the Innovation in the Model of Cultivating Sci-Tech Translation Talents in Universities of Science and Engineering from the Perspective of Artificial Intelligence-Generated Content

New technologies represented by ChatGPT have transformed traditional translation work modes and brought unprecedented changes to translation teaching. Based on the development of artificial intelligence-generated content (AIGC) technology, this article analyzes the challenges it brings to sci-tech translation research in the new era, reshapes the value goals of the “ideological and political guidance + technological empowerment” model of cultivating sci-tech translation talents, proposes tentative approaches about the innovation in the model of sci-tech translation talents in universities of science and engineering, and strengthens the talents’ translation competence, language proficiency, and interdisciplinary ability, aiming to provide new perspectives and thoughts for the development of translation research in the AIGC era.

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Publication Details

Journal
Journal of Contemporary Educational Research
Published
2024-11-27
DOI
https://doi.org/10.26689/jcer.v8i11.8863
Primary Topic
Artificial Intelligence Applications
Type
article
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article

Research on the Innovation in the Model of Cultivating Sci-Tech Translation Talents in Universities of Science and Engineering from the Perspective of Artificial Intelligence-Generated Content

Gelan Zhang, Wenjing Liao
Journal of Contemporary Educational Research
Artificial Intelligence Applications
article

Research on the Innovation in the Model of Cultivating Sci-Tech Translation Talents in Universities of Science and Engineering from the Perspective of Artificial Intelligence-Generated Content

Gelan Zhang, Wenjing Liao
article en

Abstract

New technologies represented by ChatGPT have transformed traditional translation work modes and brought unprecedented changes to translation teaching. Based on the development of artificial intelligence-generated content (AIGC) technology, this article analyzes the challenges it brings to sci-tech translation research in the new era, reshapes the value goals of the “ideological and political guidance + technological empowerment” model of cultivating sci-tech translation talents, proposes tentative approaches about the innovation in the model of sci-tech translation talents in universities of science and engineering, and strengthens the talents’ translation competence, language proficiency, and interdisciplinary ability, aiming to provide new perspectives and thoughts for the development of translation research in the AIGC era.

Journal of Contemporary Educational ResearchVol. 8(11)
Hunan University of Technology (CN)
Openalex Percentile: Top 81%
Artificial Intelligence Applications
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Research on the Innovation in the Model of Cultivating Sci-Tech Translation Talents in Universities of Science and Engineering from the Perspective of Artificial Intelligence-Generated Content — Gelan Zhang, Wenjing Liao · Journal of Contemporary Educational Research (2024) | TGRS Research Map | TGRS