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IJIET 2024 Vol.14(7): 927-935
doi: 10.18178/ijiet.2024.14.7.2119

Artificial Intelligence Applications (Fluency SIS, Articulation Station Pro, and Apraxia Farm) in the Psycholinguistic Development of Preschool Children with Speech Disorders

Aigerim Utepbayeva1,*, Nadezhda Zhiyenbayeva1, Leila Assylbekova2, and Olga Tapalova3
1. Department of Special Education, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
2. Department of Professional Training of Specialists in ‘Special Pedagogy’, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
3. Department of General and Applied Psychology, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
Email: aigerimut82@rambler.ru (A.U.); na_zhiyenbayeva@rambler.ru (N.Z.); 123assylbekova@rambler.ru (L.A.); o.2tapalova@rambler.ru (O.T.)
*Corresponding author

Manuscript received November 7, 2023; revised November 30, 2023; accepted February 10, 2024; published July 9, 2024

Abstract—Speech disorders in preschool children have farreaching consequences, affecting their communication abilities, social interaction, and overall development. This study aims to analyze the impact of artificial intelligence-based interventions on the psycholinguistic development of preschool children with speech disorders. To achieve this goal, the research included an experimental study conducted for five months. It rested on the intervention of AI tools and an assessment of progress. Participants were offered a program aimed at improving speech skills. The program included sessions with speech therapists and classes based on AI-based applications (Fluency SIS, Articulation Station Pro, and Apraxia Farm). Additional methods were semi-structured interviews in focus groups with parents and speech therapists, as well as statistical analysis of the obtained data. The study participants were 170 children aged 3−5 years with diagnosed speech disorders, as well as 20 parents and 6 independent speech therapists. The Shapiro-Wilk test measured the normality of the data obtained in the study. The result of this test was 0.97 (p = 0.23), which indicates a normal distribution of data. The moderate effect size (0.47) indicates a moderate difference between the scores of the two groups after the intervention. This result confirms the assumption that AI-based interventions contribute to significant improvement. The findings can become the basis for scientifically sound recommendations regarding the inclusion of AI interventions in preschool speech therapy practice. The study can aid in the development and revision of artificial intelligence applications according to the specific needs of this age group.

Keywords—apraxia, mobile applications, special education, speech and language pathology, verbal fluency

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Cite: Aigerim Utepbayeva, Nadezhda Zhiyenbayeva, Leila Assylbekova, and Olga Tapalova, "Artificial Intelligence Applications (Fluency SIS, Articulation Station Pro, and Apraxia Farm) in the Psycholinguistic Development of Preschool Children with Speech Disorders," International Journal of Information and Education Technology vol. 14, no. 7, pp. 927-935, 2024.


Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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