The projects, both awarded the highest budget allocation in their respective categories, propose the use of Artificial Intelligence as a teaching tool for Translation and Documentation degrees.
The Vice-Rectorate for Quality, Teaching Innovation and Undergraduate Studies has published the final resolution of the 2024-2025 Teaching Innovation Plan, where two projects involving researchers from U^CHASS have been approved: TRADia and BotLab. These projects, aimed at providing support tools for both teachers and students, focus on the use of Artificial Intelligence as a complementary educational tool.
BotLab, coordinated by Daniel Torres Salinas, is designed to use AI as a teaching assistant for students in the Translation and Documentation degrees. By creating eight GPT-based bots specialized in these areas, the project will evaluate their usefulness and effectiveness in real learning environments, considering feedback from students and teachers.
TRADia, created by Benamí Barros García, aims to integrate generative AI and large language models (LLM) into Translation studies. The project will assess how generative AI and LLMs can be ethically integrated, while also examining metrics and evaluating the potential and optimal performance conditions of these tools as content generators, or for creating materials tailored to specific learning styles, needs, and contexts.
Both projects aim not only to enhance the quality of translation education but also to foster ongoing dialogue between academia and industry, ensuring that future translators are equipped with the tools and skills needed in an increasingly digital and automated professional environment.