Artificial Intelligence for the Development of Translation and Linguistic Skills: Perceptions of Students Interpreting Spanish Sign Language
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Detalles
This study analyzes the impact of generative artificial intelligence (AI), particularly Microsoft Copilot, on the training of Spanish sign language (LSE) interpreters in a university context. The research is part of a teaching innovation project developed in a course on sign language interpreting techniques, taught in the second year of the LSE and Deaf Community Degree at Rey Juan Carlos University. Throughout the semester, nine teaching activities aimed at developing linguistic and translation skills were implemented, combining interpreting practice with the use of AI tools for reviewing, analyzing, and improving textual productions. A mixed methodology was used, combining pre- and post-intervention questionnaires with discussion groups to capture the perceptions of the participating students. The results show a notable improvement in self-confidence, register appropriateness, linguistic accuracy, and the ability to critically reflect on one's own interpreting performance. In conclusion, the study suggests that the pedagogical integration of AI, when guided in a didactic manner, can be an effective tool for enriching the training of LSE interpreters.