International Journal of Education

Currently, the rapid rise and development of Artificial Intelligence Generated Content (AIGC) technology have exerted a profound impact on various industries, bringing about profound changes in both the translation industry and the field of education. The application of AIGC in translation teaching has posed a series of new challenges, and the traditional evaluation system for translation teaching can no longer adapt to the new demands of technological development and teaching practice. This paper focuses on the multi-dimensional challenges that AIGC poses to translation teaching evaluation, analyzes the practical problems existing in current translation teaching evaluation in the context of AIGC, and proposes reform paths for translation teaching evaluation driven by AIGC from multiple levels. The study aims to construct a scientific, comprehensive, and effective evaluation framework for translation teaching, so as to provide ideas for promoting the high-quality development of translation education.

AIGC; Translation teaching; Evaluation reform; Challenges; Countermeasures