Year: 2024
Type: article
Study design: Observational Study
Abstract: As artificial intelligence technologies increasingly integrate into education, neural translation machines, such as Google Translate and DeepL, are gradually becoming an important tool for enhancing the effectiveness of foreign language learning. These technologies not only improve the efficiency of the learning experience but also address the limitations of traditional vocabulary acquisition methods. While research has examined DeepL's translation quality, there is limited focus on Spanish learners' attitudes and experiences with DeepL during the writing process, particularly regarding its impact on vocabulary enhancement and student feedback. This paper aims to investigate Chinese university students' perceptions of using DeepL to improve their Spanish writing vocabulary. The method used in this research was a descriptive quantitative technique. 60 undergraduate Spanish students completed a questionnaire. The results of this research showed that, Chinese undergraduate Spanish language students believe that the use of DeepL has a good effect on improving their writing vocabulary in general, but there are still some problems of the accuracy. Another conclusion worth emphasizing is that the use of DeepL to enrich the vocabulary of articles does not have a direct and strong connection with the improvement of the user's own vocabulary.
Author: Jingjing Jiang
Institution: Macau University of Science and Technology
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4404250247