Artificial intelligence in the diagnosis of speech disorders in preschool and primary school children
Artificial intelligence in the diagnosis of speech disorders in preschool and primary school children
Author(s): Aigerim Utepbayeva, Nadezhda Zhiyenbayeva, Leila Assylbekova, Olga TapalovaSubject(s): Preschool education, School education, Educational Psychology, Inclusive Education / Inclusion, Sociology of Education, Pedagogy
Published by: Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi
Keywords: Children; cognitive functions; pronunciation computer animation; speech impairments;
Summary/Abstract: The research aims to analyze the effectiveness of diagnosing speech disorders in preschool children using computer methods. At the first stage, the sample consisted of 395 children without speech impairments and 120 children with speech impairments. They were tested for understanding complex logical and grammatical structures. For 44 children with phonetic and speech disorders, an innovative method of computer animation was used to correct speech disorders. The results of an analysis using a computer program shoved a positive impact on the development of children. It was found that there were significant changes in three parameters. Firstly, the children showed an improvement in phonemic hearing, significant changes were identified in the sound analysis parameter. Finally, significant changes occurred in pronunciation: children began to cope better with the pronunciation of words with a complex syllable structure. The development of such programs can facilitate the process of teaching children with speech impairments.
Journal: World Journal on Educational Technology: Current Issues
- Issue Year: 14/2022
- Issue No: 6
- Page Range: 1698-1711
- Page Count: 14
- Language: English