Empowering school-based pediatric occupational therapists: integrating AI technologies into practice
OA Version
Citation
Abstract
This doctoral project explores the integration of artificial intelligence (AI) into school-based occupational therapy to improve assessment and intervention for students with Autism Spectrum Disorder (ASD), particularly those with higher support needs. Traditional standardized assessments often fail to capture the subtle, individualized progress that these students make, leading to gaps in therapeutic planning and outcome measurement. This project proposes the implementation of Korro AI, an emerging platform that utilizes machine learning, computer vision, and real-time data analysis to enhance occupational therapy practice. Grounded in the Diffusion of Innovation Theory, Dynamic Systems Theory, and Cognitive Theory of Multimedia Learning, this project includes the development and evaluation of an educational program designed for pediatric occupational therapists in the New York City Public Schools (NYCPS). The program aims to increase awareness, confidence, and competence in AI adoption, while addressing barriers such as lack of familiarity, hesitancy to change, and resource limitations. Through a hybrid training model and mixed-method evaluation, this initiative aims to support more responsive, data-driven, and individualized care for students with ASD, while also alleviating therapist burnout and improving overall practice outcomes.
Description
2025
License
Attribution-NonCommercial 4.0 International