数字智能时代的个性化翻译培训:机遇,挑战和前景
1Shanghai Lixin University of Accounting and Finance, Shanghai, China.
Heliyon
|November 6, 2024
概括
数字智能,包括人工智能和大型语言模型 (LLM),通过增强个性化学习来改变翻译者教育. 教师必须应对数据质量和为未来准备的培训制定道德标准等挑战.
科学领域:
- 教育 技术 技术 教育 技术
- 计算语言学 计算语言学
- 翻译研究 翻译研究
背景情况:
- 数字智能的整合,包括人工智能 (AI),ChatGPT,大型语言模型 (LLM) 和5G,正在重塑教育范式.
- 由于数字通信技术的快速进步,翻译者教育面临着不断变化的需求.
研究的目的:
- 调查数字智能对翻译者教育方法论的影响.
- 为理解人工智能,LLM和高级连接在翻译培训中的整合提供一个框架.
- 确定数字增强翻译者教育的关键好处和持续挑战.
主要方法:
- 理论和探索性研究方法.
- 图书统计分析以追踪趋势和演变.
- 内容分析,以检查数字工具在课程中的整合.
主要成果:
- 由数字工具促进的个性化学习显著提高了学生的参与度和技能获取.
- 数字智能为不断发展的翻译培训提供了一个全面的框架.
- 挑战包括确保数据质量,管理技术依赖,维护道德标准.
结论:
- 先进的培训平台和策略对于有效的师生互动和学术诚信至关重要.
- 教育实践的持续创新对于为数字化,互联世界准备翻译人员至关重要.
- 教师和政策制定者需要指导,以适应弹性,前性的课程.
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