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VOL. 9, ISSUE 2 (2024)
Application of AI intelligent agents in the construction and innovation of smart sports anatomy courses
Authors
Katherine Ning LI
Abstract
With the continuous
development of artificial intelligence (AI) technology and the acceleration of
educational informatization, applying AI intelligent agents to teaching sports
anatomy courses has become an emerging trend. This study aims to explore the application
paths of AI intelligent agents in the construction and innovation of wise
sports anatomy courses. The research analyzes the shortcomings of traditional
sports anatomy teaching methods, such as abstract learning content, lack of
practical elements, and difficulty in personalization. It then discusses
various application scenarios of AI intelligent agents in education, including
intelligent teaching assistants, adaptive learning systems, and virtual
simulations. The study proposes several innovative applications of AI
intelligent agents in sports anatomy course teaching: intelligent virtual
teaching assistants to support teachers, intelligent recommendation systems to
provide personalized learning resources, and intelligent simulation environments
to enhance the learning experience. Additionally, AI intelligent agents will
drive the course towards innovative modern teaching models such as personalized
learning paths, mobile hybrid learning, collaborative inquiry-based learning,
and situational case-based learning. The study also presents strategies and
suggestions for applying AI intelligent agents, aiming to provide theoretical
support and practical paths for AI-enabled construction and innovation of
intelligent sports anatomy courses.
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Pages:50-53
How to cite this article:
Katherine Ning LI "Application of AI intelligent agents in the construction and innovation of smart sports anatomy courses". National Journal of Multidisciplinary Research and Development, Vol 9, Issue 2, 2024, Pages 50-53
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