A Model for Customizing AI Assistants for Specialized Translation for Educational Purposes
Authors:
Vassil
Milev
St Cyril and St Methodius University of Veliko Tarnovo, Bulgaria
Filipp
Safronov
St Cyril and St Methodius University of Veliko Tarnovo, Bulgaria
Mariа
Racheva
St Cyril and St Methodius University of Veliko Tarnovo, Bulgaria
Pages:
55-
67
DOI: https://doi.org/10.54664/NYFS9761
Abstract:
This study proposes a model for personalising AI assistants for specialised translation through
prompt engineering, context adaptation, and the integration of terminological resources. The resulting model
incorporates an agent profile, an educational context modelling layer, a contextual framework, and a structured
workflow. This model was validated using Agent Builder in Microsoft Copilot Studio, as well as proto-agents in
ChatGPT and Claude, to translate Bulgarian educational texts related to computer science and educational technology. The results suggest that personalised AI assistants can facilitate the creation of terminologically consistent
and pedagogically appropriate translations, even under constraints of limited time and technical resources.
Keywords:
generative artificial intelligence, AI assistants, specialized translation, prompt engineering, customization, educational texts.
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