人工智能类课程在线实践教学平台构建研究

Research on the Construction of the Online Practice Teaching Platform of the Curriculums Related with Artificial Intelligence

摘要: 人工智能类课程(如计算机视觉、机器学习等)实践教学由于涉及不同类型的数据以及复杂的算法设计与运算，在实际中通常难以通过在线的形式设置实践教学项目，进而不利于学生创新与实践能力的提高。为解决此问题，着重从框架设计、内容设置、资源共享与项目管理四个方面对当前人工智能类课程在线实践教学平台存在的共性问题进行分析并提出以开放、共享、创新、协作为特色的人工智能类课程在线实践教学平台建设思路，同时以“机器学习”课程在线实践教学平台建设为例，对此类平台在培养学生认知、创新与实践能力中的应用方法与成效进行探讨，以期为其他高校相关平台的建设提供思路与参考。

Abstract: For the experimental teaching (e.g., computer vision and machine learning) of the curriculums related with artificial intelligence, it is frequently difficult to set practical teaching projects in an online manner and improve the students’ innovation and practice abilities due to different types of data and complex algorithm design and computation. To address this problem, in this paper, the common problems, including framework design, content setting, resource sharing and project management, existing in traditional online practice teaching platform of the curriculums related with artificial intelligence are first analyzed, followed by the construction idea of the online practice teaching platform with the characteristics such as openness, shareability, innovativeness, cooperation for the curriculums related with artificial intelligence. Furthermore, taking the online practice teaching platform of the Machine Learning curriculum as an example, the application methods and achievements of such platforms are discussed on cultivating the cognitive, innovative and practical abilities for students. This could provide some ideas and references for other universities to construct the related platforms.