节点文献

人工智能在高校思想政治教育中的价值重塑

The Value Reconstruction of Artificial Intelligence in Ideological and Political Education in Colleges and Universities

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 任可李敏

【Author】 Ren Ke;Li Min;School of Marxism, Taiyuan University of Science and Technology;

【机构】 太原科技大学马克思主义学院

【摘要】 人工智能在高校思想政治教育中发挥着重要的价值引领作用,它可以满足教育智能化发展的实践需求、促进思想政治教育高质量发展、推动“大思政课”建设和激发大学生对高校思政课的学习动机。但是,当前人工智能在高校思想政治教育中却遭遇了价值消损,具体表现为主流价值共识遭削弱、师生主体地位与情感的异化、评价技术滞后制约思政课教学效能的提升和潜在应用风险的出现。为此,要发挥社会主义核心价值观的价值导向作用、强化思想政治教育对人工智能的价值引领、以人工智能赋能数智循证重构思政课评价体系和提升教育主客体的数智素养,推进人工智能在高校思想政治教育中的价值重塑。

【Abstract】 Artificial intelligence plays an important value leading role in ideological and political education in colleges and universities. It can meet the practical needs of the intelligent development of education, promote the high quality development of ideological and political education, drive the construction of " big ideological and political courses " and stimulate students’ learning motivation for ideological and political courses in colleges and universities. However, artificial intelligence has encountered value loss in ideological and political education in colleges and universities at present, which is manifested in the weakening of mainstream value, the alienation of teachers and students’ subject status and emotion, the constraint of the backward evaluation technology on the improvement of ideological and political teaching efficiency and the emergence of potential application risks. Therefore, it is necessary to give full play to the guiding role of value of socialist core values, strengthen the value guidance of ideological and political education to artificial intelligence, reconstruct the evaluation system of deological and political courses based on artificial intelligence, and improve the mathematical literacy of educational subjects and objects, so as to promote the value remodeling of artificial intelligence in ideological and political education in colleges and universities.

【基金】 国家社科基金高校思政课研究专项(21VSZ094);山西省哲学社会科学专项课题(2024MZ010)
  • 【文献出处】 岭南师范学院学报 ,Journal of Lingnan Normal University , 编辑部邮箱 ,2025年04期
  • 【分类号】G641;G434
  • 【下载频次】37
节点文献中: 

本文链接的文献网络图示:

本文的引文网络