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VOL. 6, ISSUE 2 (2024)
Artificial intelligence aids in the improvement of AAR teaching methods in rehabilitation
Authors
Katherine Ning LI
Abstract
With the continuous advancement of artificial intelligence technology,
rehabilitation is exploring utilizing AI to improve the After Action Review
(AAR) teaching method in rehabilitation education. This study aims to highlight
the potential and significance of AI in enhancing the AAR teaching method for
rehabilitation professionals. AI strongly supports improving AAR teaching
methods through personalized feedback, real-time data analysis, natural
language processing, virtual assistants, and big data analytics. These
technologies not only enhance the efficiency and effectiveness of AAR but also
offer students and teachers a new learning and teaching experience. By fully
utilizing AI technology, rehabilitation is expected to advance towards a more
intelligent, personalized, and efficient AAR teaching method, bringing
tremendous success to learning and practice in rehabilitation.
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Pages:121-123
How to cite this article:
Katherine Ning LI "Artificial intelligence aids in the improvement of AAR teaching methods in rehabilitation". International Journal of Educational Research and Development, Vol 6, Issue 2, 2024, Pages 121-123
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