Comprehensive Summary

This manuscript investigated how artificial intelligence has been integrated into rehabilitation science education using adaptive learning systems. This scoping review is modeled after the Joanna Briggs Institute (JBI) framework and reported according to PRISMA-ScR guidelines. The researchers searched nine relevant databases for studies published between January 2019 and December 2024 to comprehensively identify and map the current applications of AI models in rehabilitation science education. The eligible studies focused on AI applications in the education of rehabilitation professionals such as physical and occupational therapists, audiologists, and speech-language pathologists, among many others. The review included both academic and professional training settings, regardless of whether learning was face-to-face, online, or blended. The review aimed to map the findings by types of AI models used, teaching methods supported, reported outcomes, and challenges to implementation.

Outcomes and Implications

This review is important because it identifies major gaps in how artificial intelligence can support learning in rehabilitation sciences, a field where hands-on learning is essential. The findings may inform educators on effective ways to incorporate AI tools that personalize and improve training in this area of expertise.

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© 2025 AIIM. Created by AIIM IT Team

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© 2025 AIIM. Created by AIIM IT Team

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© 2025 AIIM. Created by AIIM IT Team