Article
The aim of the study is to develop a method for individualizing physical exercise and wellness programs to correct postural disorders in students assigned to special medical groups, using artificial intelligence to improve individualization of classes and rationalize teachers’ workload in preparing individual programs.
Research methods and organization: theoretical analysis and synthesis of scientific sources on the use of digital algorithms and artificial intelligence technologies in physical rehabilitation; a pedagogical experiment, pedagogical observation, comparison of individual cases, and analysis of the practical application of the developed method with students assigned to special medical groups.
Research results and discussion. A method was developed based on constructing an individual profile from verified medical and functional data, anonymized digital processing, and mandatory pedagogical review of the draft program. Artificial intelligence is used to preliminarily organize information and prepare instructional materials; medical decisions remain within the remit of the relevant healthcare professionals. A prompt template for the artificial intelligence system was developed. The method was piloted in a pedagogical experiment involving eight students. Analysis of the individual cases demonstrates the need to consider each student’s profile rather than the diagnosis alone.
Conclusion. The proposed method integrates medical information, an individual profile record, functional and pedagogical assessment, digital systematization, artificial intelligence, independent practice, and video feedback. It aims to individualize programs and rationalize the preparation of instructional materials while retaining professional oversight by the teacher.
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