The effectiveness of speech technologies in building students’ linguistic competence during practical classes

Modern language education requires the use of innovative approaches making the educational process more effective. The aim of the article is to analyse the effectiveness of speech technologies (neuro-linguistic programming, NLP) in the development of students’ linguistic competence during practical classes. The research employed the following methods: survey, testing, methods of mathematical statistics. The results showed the effectiveness of the course, as evidenced by a significant improvement in performance in both groups. Group 1 demonstrated a mean pre-test score of approximately 76.04, which increased to 80.25 at post-test, indicating moderate improvement. Group 2 started with a lower mean pre-test score of around 73.55. However, they showed more significant improvement, achieving an average test score of 80.21. The assessment of psycholinguistic factors among the participants revealed a positive effect on motivation, cognitive processes and language processing mechanisms. The algorithm gave satisfactory results in identifying influential elements of cognitive processing, despite the differences associated with individual characteristics among students. The error range between the analytical value obtained using a traditional NLP algorithm and the actual value varied from 0.008 to 0.012. Research prospects include examining the long-term effects of speech technology on students’ linguistic competence.