大学化学 >> 2024, Vol. 39 >> Issue (10): 402-407.doi: 10.12461/PKU.DXHX202403075

所属专题: AI赋能化学教育

教学研究与改革 上一篇    下一篇

人工智能背景下大学生通识课程的教学探索与实践创新

李平, 尹超   

  1. 南京邮电大学材料科学与工程学院, 南京 210023
  • 收稿日期:2024-03-23 录用日期:2024-07-04 发布日期:2024-10-22
  • 通讯作者: 李平 E-mail:iampingli@njupt.edu.cn
  • 基金资助:
    南京邮电大学2023年课程思政示范课程建设项目

Teaching Exploration and Practical Innovation of General Education Courses in the Context of Artificial Intelligence

Ping Li, Chao Yin   

  1. School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Received:2024-03-23 Accepted:2024-07-04 Published:2024-10-22
  • Contact: Ping Li E-mail:iampingli@njupt.edu.cn

摘要: 在人工智能技术飞速发展的大背景下,高校应如何应对时代命题,将传统学科教育与人工智能结合起来,拓展大学生的视野,激发大学生的创新思维,为国家和社会培育出高素质的复合型人才,是目前高校教育面临的挑战。鉴于此,本文以材料“遇见”人工智能通识课程为例,阐述了通识课程融合人工智能教学的重要性,提出了课程思政的渗透、材料与人工智能相关联内容的挖掘和材料前沿科学案例的引入来合理设计教学内容的方案,改进了通识课程课堂教学的模式,丰富了课程效果评价的方式,为高校传统通识课程的教学活动提供参考。

关键词: 通识课程, 人工智能, 课程思政, 前沿科学

Abstract: As artificial intelligence (AI) technology continues to develop rapidly, universities face the challenge of integrating traditional subject education with AI to broaden students’ perspectives, stimulate innovative thinking, and cultivate high-quality, versatile talent for society and the nation. This paper takes the general education course “Materials ‘Meeting’ Artificial Intelligence” as an example to discuss the importance of incorporating AI teaching into general education. It proposes a curriculum design that includes the integration of ideological and political education, the exploration of content linking materials science with AI, and the introduction of cutting-edge scientific cases in materials. The study also suggests improvements in classroom teaching methods and a more diverse evaluation of course effectiveness, offering a reference for reforming traditional general education courses in universities.

Key words: General education course, Artificial intelligence, Curriculum-based ideological and political education, Frontier science