Reflection on the Development and Application of AI Teaching Resources in the Teaching Ecology of Higher Vocational Medical Education

Abstract

With the rapid development of science and technology as well as artificial intelligence (AI) technology, AI teaching resources have gradually become a crucial component of the current teaching system. This new type of teaching resource not only provides new technical support for the existing teaching system but also enriches it with additional educational content. Influenced by traditional teaching models, higher vocational medical education still faces challenges such as a single type of teaching resources, insufficient practical scenarios, and inadequate emphasis on student-centered learning. However, with the changes of the times and continuous reforms in the field of education, the industry’s demand for medical professionals has become increasingly diversified. This shift has also raised higher requirements for talents’ abilities in knowledge integration, practical application, and innovation. Therefore, the introduction of AI teaching resources into higher vocational medical education has become an important path to promote educational reform. Through the in-depth integration of AI technology, teaching resources can become more intelligent and interactive, providing more precise and personalized support for the training of medical talents. This not only effectively enhances students’ adaptability and comprehensive literacy in future careers but also offers an effective approach for cultivating “future-oriented” talents.

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