基于数据驱动学习的大学英语翻译教学模式实验研究

An Experimental Research on College English Translation Teaching Mode Based on Data-Driven Learning

针对目前大学英语翻译教学难以适应大学英语教学和人才培养新要求的现状,提出将多媒体技术和语料库相结合,以建构主义学习理论、数据驱动学习理论和自主学习理论为支撑,构建"基于数据驱动学习的大学英语翻译教学模式",采用实证研究方法,探究基于数据驱动学习的模式对大学生翻译学习的影响。实验结果显示,该模式与学生的翻译学习成绩的显著提高二者成正相关,表明该模式应用于大学英语翻译教学是有效的。

In this paper, owing to the fact that the present college English translation teaching cannot meet the new demands of college English teaching and the development of talents, a College English Translation Teaching Mode Based on Data-Driven Learning has been proposed based on Constructivism Learning Theory, Data-Driven Learning Theory and Self-access Learning Theory. An empirical study is conducted to testify the influence of this mode on students＇ translation learning and acquisition. The results of the experiment show that the adoption of the mode has a positive correlation with the sig- nificant improvement of the students＇ performance in college English translation, and that the applica- tion of the mode to college English translation teaching is effective, which produces an important en- lightenment to college English translation teaching.