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

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

Author(s): Elena Crișan
Subject(s): Social Sciences, Education, Psychology, Developmental Psychology, Experimental Psychology, Inclusive Education / Inclusion
Published by: Universitatea din București, Facultatea de Psihologie și Științele Educației, Departamentul Psihopedagogie Specială
Keywords: language; dyslalia; speech therapy; disability; software; traditional;

Summary/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.

  • Issue Year: 14/2025
  • Issue No: 1
  • Page Range: 109-118
  • Page Count: 10
  • Language: English
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