前沿导向的人工智能课程内容重构——以上海交通大学“人工智能理论及应用”课程为例  

Frontier-oriented Reconstruction of Artificial Intelligence Courses——From “Artificial Intelligence:Principles and Techniques” in Shanghai Jiao Tong University

作　　者：高岳 杨小康[2,3] Gao Yue;Yang Xiaokang

机构地区：[1]上海交通大学电子信息与电气工程学院 [2]上海交通大学电子信息与电气工程学院人工智能教育部重点实验室 [3]上海交通大学人工智能研究院

出　　处：《高等工程教育研究》2022年第6期52-55,共4页Research in Higher Education of Engineering

基　　金：上海交通大学课程教学改革项目。

摘　　要：前沿性融合与教学是工学类专业课程的重要内容之一,也是课程建设和教学实施过程中的一大难点。本文从上海交通大学“人工智能理论及应用”课程出发,总结教学团队在建设过程中前沿导向的教学理念以及前沿性课程建设的思路、举措和成效。通过对教学内容、课程实践、课程项目以及课程思政的内容重构,实现了前沿性与课程体系的有机融合,取得了显著的成效,并能够有效延伸推广至其他工学类专业课程,实现传统工学类课程的改造升级。The integration of frontier and course is one of the important ways as well as a major challenge in course construction and teaching implementation. This paper takes the course “Artificial Intelligence: Principles and Techniques” of Shanghai Jiao Tong University as an example to summarize the teaching staff’s frontier-oriented educational concept and the ideas, measures and effects of the course reconstruction. Through the reconstruction of educational concept, teaching content, course practice, course project and course ideological and political education, the integration of frontier and course is accomplished, which achieved significant effects. The experiences and measures can be effectively extended to other engineering specialized courses, so as to realize the transformation and upgrading of traditional engineering courses.

关 键 词：前沿思维 高阶能力培养 人工智能 工学类专业课程 

分 类 号：G642.3[文化科学—高等教育学] TP18-4[文化科学—教育学]