面向医学人工智能的认知神经科学课程改革与实践

文章针对面向医学人工智能的认知神经科学课程知识体系复杂性、知识内容前沿性的特点,发挥课程承前启后的作用,以提高学生医工交叉创新能力、培养医工融合综合素质为目标,提出并实践了一套切实可行的认知神经科学课程改革方案。文章基于课程改革新思路,教学方法由重知识向重思想转移、由医学案例引出教学内容、突出神经科学知识与工程领域的思想比较和创新启示,在价值观引领的基础上注重内容前沿化、多元化。对学生进行匿名调查的结果显示,文章措施符合学生意愿和能力培养目标。文章可以为本课程以及同类医工交叉学科课程的开展和改革提供一定的借鉴和参考。

The Cognitive Neuroscience Course for medical artificial intelligence is complex in the knowledge system and cutting-edge in the content and serves as a connecting link in the student's academic development.To improve the innovation ability and cultivate the comprehensive quality of medicine and engineering conjunction,this paper put forward and practiced a set of feasible cognitive neuroscience curriculum reform measures.Based on the new ideas of curriculum reform,the measures include:shifting teaching methods from emphasizing knowledge to ideas and methods,deriving the teaching content from medical cases,comparing ideas between neuroscience and engineering,and meantime emphasizing the innovative enlightenment.Anonymous survey shows that these measures are in line with students'wishes and ability training goals.This paper provides a reference for the development and reform of this course and similar courses for medicine and engineering conjunction.