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首页|期刊导航|西南石油大学学报(社会科学版)|DeepSeek类人工智能赋能高校思政课教学:价值、隐忧与纾解

DeepSeek类人工智能赋能高校思政课教学:价值、隐忧与纾解

王雅坤 申小蓉

西南石油大学学报(社会科学版)2025,Vol.27Issue(3):20-28,9.
西南石油大学学报(社会科学版)2025,Vol.27Issue(3):20-28,9.

DeepSeek类人工智能赋能高校思政课教学:价值、隐忧与纾解

DeepSeek-like Generative Artificial Intelligence Empowering the Teaching of Ideological and Political Courses in Universities:Value,Risks and Mitigation Path

王雅坤 1申小蓉1

作者信息

  • 1. 电子科技大学马克思主义学院,四川 成都 611731
  • 折叠

摘要

Abstract

DeepSeek has sparked a new round of attention to generative AI,and set off a boom in the application of artificial intelligence in the field of education.For ideological and political courses,DeepSeek can promote the innovative development of ideological and political courses from three dimensions:"teaching","learning"and"evaluation".In terms of"teaching",DeepSeek can help the systematical aggregation of teaching content,greatly improving teachers'efficiency in lesson preparation.In terms of"learning",DeepSeek can accurately recognize students'personalized needs and generate teaching content in response.Used in"evaluation",DeepSeek can effectively improve the accuracy and authenticity of ideological and political course teaching evaluations.However,DeepSeek-like generative artificial intelligence has its limitations in empowering ideological and political courses:"AI reliance"of educate participants tends to result in the loss of the meaning of education;"knowledge falsification"in the distortion of teaching content and ideological risk,and"discriminating data"in inadequacy in data utilization and risks of information security.Therefore,it is necessary to reshape the subject-object literacy of"human-AI integration",to promote the construction of artificial intelligence corpora,to optimize data governance effectiveness to enhance the practice path of DeepSeek-like generative artificial intelligence in empowering the ideological and political courses.

关键词

大模型技术/思政课建设/人工智能/DeepSeek

Key words

large model technology/artificial intelligence/ideological and political course construction/DeepSeek

分类

计算机与自动化

引用本文复制引用

王雅坤,申小蓉..DeepSeek类人工智能赋能高校思政课教学:价值、隐忧与纾解[J].西南石油大学学报(社会科学版),2025,27(3):20-28,9.

基金项目

教育部哲学社会科学研究重大课题"网络算法分发模式与大学生价值观引导研究"(21JZD055). (21JZD055)

西南石油大学学报(社会科学版)

1674-5094

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