Abstract. This study aims to explore the potential of implementing blockchain-based verification in the language training of aviation technical specialists. The research objective is to find a transparent, reliable, and professionally validated tool for assessing student performance in language training. The research methodology utilized a quasi-experimental approach, comparing control and experimental groups, which underwent introductory and final testing. Within this approach, experiments were conducted to assess the results of individual components, learning success, the verification index, and student confidence in the assessment system. The results demonstrated that the proposed technology significantly enhances competency development, improves academic performance and competence, and increases trust in the assessment procedures. An additional finding was a positive correlation between the verification index and English language proficiency. In conclusion, the proposed technology serves as a reliable performance measurement tool and a pedagogical mechanism for assessing competencies. This study contributes to the development of transparent, verifiable, and professional models for teaching English for specific technical purposes.

Keywords: blockchain based verification, aviation English, aircraft maintenance education, competence assessment, digital credentials.