A Model for Customizing AI Assistants for Specialized Translation for Educational Purposes
A Model for Customizing AI Assistants for Specialized Translation for Educational Purposes
Author(s): Vassil Milev, Filipp Safronov, Maria RachevaSubject(s): Social Sciences, Economy, Education, Higher Education , State/Government and Education, ICT Information and Communications Technologies, Sociology of Education, Distance learning / e-learning, Pedagogy
Published by: Великотърновски университет „Св. св. Кирил и Методий”
Keywords: generative artificial intelligence; AI assistants; specialized translation; prompt engineering; customization; educational texts.
Summary/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.
Journal: Дигитални образователни технологии
- Issue Year: 3/2026
- Issue No: 1
- Page Range: 55-67
- Page Count: 13
- Language: English
