一流本科教育:迈向人工智能时代的变革

First Class Undergraduate Education: Towards the Intelligence Era

人工智能科技革命沿着"科技变革—空间变革—社会变革—教育变革"逻辑路径给本科教育带来学生就业能力需求、教与学和本科教育结构的变化,引发一流本科教育内涵从浅层到深度、从应用到引领以及从固化到弹性转变。目前国际上存在"社会整体模式""多中心模式""多边模式""单边模式""产教融合模式"和"政府主导模式"六种主要应对人工智能时代变革的教育战略模式,我国面向智能时代的一流本科教育建设应秉持开放创新、以本科课堂变革为中心、多方主体和社会整体变革的理念。借鉴和改进SMAR模型,在智能时代一流本科教育具体建设路径上,应推进智能技术在本科课堂的应用,打造智能的教与学环境,塑造适应智能时代的一流人才培养模式和主动调整一流本科教育体系。

Along the logical path of 'scientific and technological change-spatial change-social change-educational change', the revolution of artificial intelligence science and technology has brought about changes in undergraduate education in the demand of students’ employment ability, teaching and learning, and undergraduate education structure. It has triggered changes in the concept of first-class undergraduate education from shallow to deep, from application to lead and from solidification to bomb. At present, there are six kinds of education strategy modes in the world, i.e., the whole society mode, the multi-center mode, the multilateral mode, the unilateral mode, the integration mode of industry and education, and the government-led mode, which mainly deal with the changes in the era of artificial intelligence. The construction of first-class undergraduate education facing the era of intelligence in China should adhere to the concept of opening up and innovation, taking undergraduate classroom reform as the center, multi-subject and overall social change. Using SMAR model for reference and improving, we should promote the application of intelligent technology in undergraduate classes, create an intelligent teaching and learning environment, shape a first-class talent training model and actively adjust the first-class undergraduate education system.