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以重大项目群为牵引的空天信息人工智能课程体系建设
On Space-sky Information Artificial Intelligence Curriculum System Construction Driven by Major Project Clusters
【摘要】 在人工智能和空天信息技术的新一轮技术革命和产业变革中,发展智能化的空天信息技术是有效应对未来智能变革的关键,同时也对高等教育人才培养提出了新要求。现有空天信息人工智能课程建设存在理论教学与实践应用脱节、知识体系不够系统、教学方式较为传统以及缺乏行业应用导向等问题。针对这些问题,瞄准空天信息领域高层次人才培养目标,推进人工智能教育发展,本文在“新工科”建设和“人工智能+X”新模式背景下,提出一种空天信息技术人工智能课程体系改革方案。该方案以重大项目群为牵引,融合空天信息领域特色以及人工智能基础知识,从课程体系建设、实践教学驱动、教材体系改革和协同育人平台搭建四个方面阐述教学创新方法以及取得的教学成效,为打造具有空天信息特色的一流课程和人才培养体系奠定坚实基础。
【Abstract】 In the latest technological revolution and industry transformation within the realms of artificial intelligence and aerospace information technology, the development of intelligent aerospace information technology emerges as a crucial strategy for effectively responding to future intelligent transformations. Simultaneously, this advancement imposes new demands on the training of talent in higher education. The construction of aerospace information artificial intelligence courses is currently challenged by issues such as the disconnect between theoretical teaching and practical application, the absence of a systematic knowledge system, reliance on relatively traditional teaching methods, and a lack of orientation towards industry application. Addressing these problems, this paper, set against the backdrop of “new engineering” construction and the innovative “Artificial Intelligence+X” model, suggests a reform approach for the aerospace information technology artificial intelligence curriculum system. The approach is characterized by its orientation around major project clusters and merges the distinct features of the aerospace information field with foundational artificial intelligence knowledge. Teaching innovation methods and the effectiveness of these methods are detailed from four perspectives: the construction of the curriculum system, the drive from practical teaching, the reform of the textbook system, and the construction of a collaborative education platform. Through these initiatives, a solid foundation is established for creating a first-class course and talent training system, distinguished by its aerospace information characteristics.
【Key words】 artificial intelligence; aerospace information technology; major project clusters; curriculum system construction;
- 【文献出处】 高等工程教育研究 ,Research in Higher Education of Engineering , 编辑部邮箱 ,2024年02期
- 【分类号】V11-4;G642.3
- 【下载频次】64