摘要
随着人工智能技术的发展,新工科教育背景下"人工智能+X"教学模式为推动高校建立与科技创新、产业发展相适应的人才培养体系发挥着重要作用。本文以智能信息网络课程为例,探讨了"人工智能+信息网络"课程建设与优化。针对"人工智能+"交叉类课程学科知识交叉融合性差和工程实践性弱的问题,从教学理念、教学内容、教学模式和评测方法出发,提出"四个二"课程优化思路:基于学科交叉融合和产教融合两个融合理念,追踪科学研究进展和产业需求两个导向,采用混合式教学模式和案例式教学模式相结合,以学生学习效果和理论与实践相结合为两个中心,旨在提升学生的自主学习能力和综合素质能力。
With the development of artificial intelligence technology,under the background of new engineering education,"artificial intelligence plus X"teaching and training mode plays an important role in promoting colleges and universities to establish a talent training system suitable for scientific and technological innovation and industrial development.Taking intelligent information network course as an example,this paper discusses the curriculum construction and optimization of"AI plus Information Network".In view of the problems of poor interdisciplinary knowledge integration and engineering practice of"AI plus"interdisciplinary courses,starting from the teaching concept,teaching content,teaching mode and evaluation methods,this paper proposes the"four two"curriculum optimization idea to improve the students’autonomous learning ability and comprehensive quality ability.The two fusion concepts are interdisciplinary integration and production teaching integration,the two centers are the students’learning effect and the combination of theory and practice,the two orientations are research progress and industry demand,and the two teaching methods are hybrid teaching mode and case teaching mode.
作者
谷志群
纪越峰
顾仁涛
Gu Zhiqun;Ji Yuefeng;Gu Rentao
出处
《高等工程教育研究》
CSSCI
北大核心
2021年第4期93-97,共5页
Research in Higher Education of Engineering
基金
教育部高等学校电子信息类专业教学指导委员会教学改革重点项目(2020-ZD-01)
北京市教委人才培养共建项目
北京邮电大学教育教学改革项目(2020JY01)。
关键词
人工智能+X
智能信息网络
学科交叉融合
产教融合
案例教学
artificial intelligence plus X
intelligent information network
interdisciplinary integration
production teaching integration
case teaching