Investigating the Use of AI-Driven Educational Tools to Enhance Translation Skills for Third-Year English Majors

Abstract

This study aims to investigate the effectiveness of AI-driven educational tools in enhancing translation skills among third-year English majors at a university in Vietnam. Specifically, the research explores how intelligent technologies—such as AI-based machine translation platforms (e.g., DeepL, Google Translate with context analysis), AI-assisted grammar and style checkers (e.g., Grammarly, Quillbot), and personalized vocabulary learning apps—can support learners in developing more accurate, context-sensitive, and stylistically appropriate translations. The research design involved a combination of quantitative and qualitative methods, including pre- and post-tests to measure translation performance, student surveys to gather feedback on user experience, and interviews to obtain deeper insights into learner perceptions.