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作 者:杨衍波[1] 秦月梅 YANG Yanbo;QIN Yuemei
机构地区:[1]西北工业大学自动化学院,西安710129 [2]西安邮电大学自动化学院,西安710121
出 处:《高教学刊》2025年第10期19-22,共4页Journal of Higher Education
基 金:陕西省高等教育教学改革研究项目“新工科背景下自动化类国防特色卓越人才培养模式改革与创新”(23BY009);西北工业大学教育教学改革研究项目(重点)“新工科背景下面向自动化专业的人工智能课程群建设研究”(2023JGZ12)。
摘 要:在新工科背景下如何突出学校行业特色、培养具备人工智能技术的自动化领域高素质复合型人才正成为自动化专业人才培养亟需解决的关键问题。课程是人才培养的核心,该文探索新工科背景下自动化专业人工智能课程群建设。围绕西北工业大学航空、航天、航海国防特色,提出凸显国防智能化的教师、学生、学校、研究院所及社会等“五位一体”课程思政建设;绘制知识图谱可视化课程内容以制定个性化选课方案,实现人工智能类不同课程知识点无缝衔接;设计“数据+需求—算法—应用”的闭环教学模式,强化学生知识理解;结合感知、控制与决策中国防需求,建立多学科交叉实践案例,提升学生工程创新能力。拟为具有行业特色的工科专业人工智能课程群建设提供借鉴。Under the background of new engineering,how to cultivate high-quality and inter-disciplinary undergraduates in the field of automation owning artificial intelligence technology,which also highlights industry characteristics of the university,has become the key issue to be solved in the automation specialty.Since course is the core of undergraduate training,this paper discusses the construction of the course group of artificial intelligence.Focusing on the features of aeronautics,astronautics,marine science and technology,the ideological and political education in the curriculum which involves teachers,students,universities,research institutes and society as the"five-in-one"is proposed to show intelligence characteristics of defense application.It is suggested to draw knowledge graph and visualize the course content to formulate the personalized course selection scheme,in order to realize seamless connection of knowledge from different courses.The closed-loop teaching mode of"data+demand-algorithm-application"is designed to strengthen students'understanding in class.Based on military demands in perception,control and decision-making,the interdisciplinary experimental projects with practical availability are designed to improve students'engineering innovation ability.This paper aims to provide useful references for the construction of course group of artificial intelligence for engineering majors with industry characteristics.
分 类 号:G640[文化科学—高等教育学]
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