Mitigating Language Barriers in Education: Developing Multilingual Digital Learning Materials with Machine Translation

This paper describes the EdUKate project, which uses machine translation to convert Czech digital learning materials (9,000+ interactive exercises) into Ukrainian, English, and German for primary and secondary school students. The project focuses on technical MT system development and evaluation for educational content translation, rather than measuring AI's impact on student learning outcomes.

The EdUKate project combines digital education, linguistics, translation studies, and machine translation to develop multilingual learning materials for Czech primary and secondary schools. Launched through collaboration between a major Czech academic institution and the country's largest educational publisher, the project is aimed at translating up to 9,000 multimodal interactive exercises from Czech into Ukrainian, English, and German for an educational web portal. It emphasizes the developmen

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