Volume 4, 2026 – Issue 3 
AI-Assisted Teaching for Children with Childhood Apraxia of Speech: Perceptions of Cognitive and Speech-Motor Support
Mariyah Ambreen
1
European International University, Paris, France
* Corresponding author: mariyah87@gmail.com
DOI: 10.5281/zenodo.23583643
Abstract
Childhood Apraxia of Speech (CAS) is a motor speech disorder that can affect speech-motor planning, expressive communication, and participation in learning. This qualitative study explored how special educators, speech-language pathologists, occupational therapists, a cognitive-behavior therapist, and parents perceive the use of artificial intelligence (AI)-assisted tools for children with CAS aged 6–12. Twelve participants from Saudi Arabia, the United Arab Emirates, and Pakistan took part in semi-structured interviews. Data were analyzed thematically, with interpretation informed by Cognitivism, Bloom’s Taxonomy, and principles of motor learning represented through Dynamic Temporal and Tactile Cueing (DTTC). Five themes were identified: gradual academic and phonological gains; AI as supplemental support for speech practice rather than a replacement for therapy; increased engagement, motivation, and independence; the need for balanced and supervised use; and demand for more personalized, multilingual, and clinically aligned tools. Participants commonly associated AI-assisted practice with repetition, immediate feedback, phoneme practice, vocabulary recall, and increased willingness to participate. Professional participants were more cautious about claims concerning speech-motor planning and emphasized clinician-led intervention. The findings support a hybrid model in which therapists define goals, AI tools provide structured opportunities for repeated practice, parents reinforce learning at home, and educators connect practice to classroom objectives. Larger longitudinal studies using objective clinical measures are needed to evaluate effectiveness beyond stakeholder perceptions.
Keywords: childhood apraxia of speech, artificial intelligence, special educational needs, speech-motor planning, phonological working memory
Published
2026/10/31
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Section
Research Papers
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About the authors
- Mariyah Ambreen is an experienced educator, SEN advocate, and curriculum designer with over a decade of teaching and leadership experience in Saudi Arabia. She holds a PGCE (Level 7) from the Learning Resource Network, UK, and a Doctorate in Special Education from European International University, France. As a proud parent of a child with special needs, her professional and research interests focus on inclusive education, speech and language disorders, and AI-assisted learning. She has presented her work at educational conferences in the UAE and internationally through SciForum. Her work is dedicated to empowering children with special needs and supporting their families through innovative and inclusive educational practices.
mariyah87@gmail.com
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