Keyword: «speech therapy»

The article presents an analysis of modern research on the need to use information computer technologies to improve the effectiveness of correctional work on the development of phonemic processes in older preschool children with general underdevelopment of speech.

The article examines the features of applying artificial intelligence (AI) technologies in speech therapy practice aimed at correcting speech sound production in older preschool-aged children. A theoretical analysis of domestic research on the integration of AI into speech therapy diagnostics and intervention is presented. The role of the speech therapist as a coordinator of the digital speech environment is emphasized. In the empirical section, the results of speech sound diagnostics for 14 children are detailed, utilizing an adapted sound recording chart to systematize types of disorders and construct speech profiles. The study identified the states of sound production (absence, distortion, substitution) and their specific characteristics. The conclusion highlights the potential of AI as a tool for improving the individualization, effectiveness, and accessibility of speech correction.

The article examines the shortage of speech therapists and special educators in Russia and the role of IT in addressing this issue. Special attention is paid to existing digital tools, their disadvantages and the prospects for creating a comprehensive educational platform that could significantly facilitate the work of specialists and make the profession more attractive to young professionals.

This article discusses the results of experimental work on overcoming sigmatism in children with erased dysarthria aged 5–6 years using a tablet. The problem of violations of the articulatory and phonemic side of speech in erased dysarthria is urgent and requires careful study and the introduction of effective correction methods.