The integration of digital tools with conventional pedagogy is spearheading a transformation in the field of humanities education.This research utilizes slogan translation as a case study,employing Data Driven Learning(DDL)methodologies,a self-compiled corpus,analytical software,and ChatGPT to dissect the lexi-cal,syntactic,and rhetorical characteristics of slogan texts.The findings demonstrate that an inquiry-based ap-proach facilitated by big data and analytical instruments significantly enhances the learning outcomes and effi-ciency in grasping specific textual elements.By emulating parallel texts and employing a variety of rhetorical techniques,students'translations are rendered more inventive and idiomatically suited to the target audience.
NETL
NSTL
万方数据
