医学人工智能课程思政教育的探索与实施——以“人工智能之深度学习”课程为例

Exploration and implementation of ideological and political education in medical artificial intelligence courses:A case study of the course Deep Learning of Artificial Intelligence

课程思政是进行思想政治教育的重要手段,然而目前医学院校中人工智能课程体系缺乏课程思政和相关经验。作者在前期开设的“人工智能之深度学习”课程中加入了具有“医工”特色的课程思政内容,课程实施后设计调查问卷总结课程思政在教学中的经验和应用价值。问卷结果显示,课程思政有助于专业学习/思想政治学习;以时政热点和专业背景为依托的思政内容学生更感兴趣,能更好激发学生学习积极性和主动性;案例分析和理论讲授是课程思政的主要教学方式。因此,总体而言具有“医工交叉”特色的课程思政元素的授课总体评价良好,有助于提高医学院校学生对人工智能课程的学习兴趣,对于培养“医工结合”的复合型高素质医学生有重要作用。

Curriculum ideology and politics is an important means of ideological and political education.However,the current artificial intelligence curriculum system in medical colleges lacks curriculum ideology and politics and relevant experience.Based on this,ideological and political education with medicine-engineering characteristics was added to the Deep Learning of Artificial Intelligence course.The curriculum was implemented and an end-of-class survey questionnaire was designed to summarize the experience and application value of ideological and political education in teaching.The questionnaire results showed that:Curriculum ideology and politics education is helpful to students'professional study/ideological and political study;Students are more interested in ideological and political content based on current political hot topics and professional-related background knowledge,which can better stimulate learning motivation and initiative;and case study and theoretical teaching are the main teaching methods of ideological and political content.The overall evaluation of this curriculum is good,and the ideological and political elements with the medicine-engineering interdisciplinary characteristics set up in this article can help improve the interest of medical college students in learning artificial intelligence courses.These elements play an important role in cultivating composite and high-quality medical students with medical engineering integration.