Challenges and countermeasures of integrating AIGC into the reform of translation teaching evaluation
AIGC 融入翻译教学评价改革的挑战与对策

摘要

当前，人工智能生成内容（AIGC）技术的快速兴起与发展对各行各业产生了深远影响，翻译行业与教育领域也因此面临着深刻变革。AIGC在翻译教学中的应用带来了一系列新的挑战，传统翻译教学评价体系已难以适配技术发展与教学实践的新需求。本文聚焦 AIGC对翻译教学评价形成的多维度挑战，剖析了当下翻译教学评价在AIGC背景下存在的现实问题，从多个层面提出了AIGC 驱动下翻译教学评价的改革路径。研究旨在构建科学、全面且有效的翻译教学评价框架，为推动翻译教育高质量发展提供思路。

Abstract

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.