Research on Professional Development of College Translation Teachers under the Background of Big Data
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DOI: 10.25236/isaete.2021.075
Corresponding Author
Hailong Li
Abstract
Under the background of big data, the development of translation teachers in universities is facing great challenges. In order to meet the development needs of translation major and the post needs of translation teachers, universities need to continuously promote the construction of translation teachers and constantly improve the overall level of translation teachers. Based on the author's own work experience, this paper first analyzes the challenges faced by translation teachers in China's universities under the background of big data and the necessity of improving the professional quality of translation teachers, and then focuses on the effective ways to promote the professional development of translation teachers. Through the dual strategies of “going out” and “bringing in”, for example, holding academic lectures, carrying out academic seminars, recruiting high-quality translators, encouraging translation teachers to carry out professional training and learning, and encouraging translation teachers to actively participate in translation practice, we can continuously improve the quality of education of translation teachers and cultivate more high-quality translators.
Keywords
Big data, Translation teacher, Development, Challenge