Predictive factors of the attitude of private and special education specialists towards the integration of educational software in speech therapy

Elena  Crișan

doi:10.56663/rop.v14i1.93

Authors

Elena Crișan PhD candidate, „Ion Creangă" State Pedagogical University Chisinau, Republic of Moldova

DOI:

https://doi.org/10.56663/rop.v14i1.93

Keywords:

language, dyslalia, speech therapy, disability, soft, traditional

Abstract

Artificial intelligence has been used increasingly over the past decade in therapy programs for children with neurodevelopmental disorders such as intellectual disabilities and language disorders. In the present study, we propose to investigate the views of specialists in the field of special psychopedagogy regarding the integration of AI/educational software in speech therapy. To achieve this goal, we created a questionnaire, then identified potential predictors of these attitudes. The results revealed a positive attitude towards the integration of educational software in speech therapy among specialists with more than 10 years of experience.

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