河北北方学院学报(社会科学版)2024,Vol.40Issue(3) :90-93.DOI:10.3969/j.issn.2095-462X.2024.03.024

人工智能融入高校思政课教学路径探究

A Research on the Path of Integrating Artificial Intelligence into Ideological and Political Teaching in Universities

张彪
河北北方学院学报(社会科学版)2024,Vol.40Issue(3) :90-93.DOI:10.3969/j.issn.2095-462X.2024.03.024

人工智能融入高校思政课教学路径探究

A Research on the Path of Integrating Artificial Intelligence into Ideological and Political Teaching in Universities

张彪1
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作者信息

  • 1. 宿州学院 马克思主义学院,安徽 宿州 234000
  • 折叠

摘要

人工智能的快速发展及广泛应用能够有效提升学生综合素养、拓宽师生沟通渠道和提高思政教学精准度,从而深入落实立德树人的根本任务.目前人工智能在融入思政课教学过程中存在思政课教学理念践行不到位、高校智慧思政平台作用发挥不充分以及思政课教师智能技术素养不足等问题.高校应通过树立"以生为本"育人理念、完善升级智慧思政教学平台以及优化思政教学资源供给等路径,推动思政课建设内涵式发展.

Abstract

The rapid development and wide application of artificial intelligence can effectively improve students'comprehensive quality,broaden the communication channels between teachers and students,and improve the accuracy of ideological and political content,so as to further implement the fundamental task of moral education.In the process of integrating artificial intelligence into ideological and political teaching,there are some problems,such as the insufficient implementation of ideological and political teaching philos-ophy,the unsatisfactory application of the intelligent ideological and political platforms,and the inadequate intelligent technical literacy of ideological and political teachers.Universities are expected to establish the"student-centered"education concept,improve and upgrade the intelligent ideological and political teaching platforms,optimize the supply of ideological and political teaching resources,and uphold fundamental prin-ciples and break new ground to promote the connotative development of ideological and political course con-struction.

关键词

人工智能/高校思政课/大学生

Key words

Artificial intelligence/Ideological and political courses in university/University student

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基金项目

安徽省高等学校省级质量工程项目(2023jyxm0772)

宿州学院教学研究重点项目(szxy2022jyxm14)

出版年

2024
河北北方学院学报(社会科学版)
河北北方学院

河北北方学院学报(社会科学版)

CHSSCD
影响因子:0.246
ISSN:2095-462X
参考文献量3
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