湖北职业技术学院学报2024,Vol.27Issue(4) :36-41.

生成式人工智能赋能高校思政课教学探析

An Analysis of the Teaching of Ideological and Political Course Enabled by Generative Artificial Intelligence

孙静宜
湖北职业技术学院学报2024,Vol.27Issue(4) :36-41.

生成式人工智能赋能高校思政课教学探析

An Analysis of the Teaching of Ideological and Political Course Enabled by Generative Artificial Intelligence

孙静宜1
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作者信息

  • 1. 首都师范大学马克思主义学院,北京 100048
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摘要

高校思政课教学改革应果断抓住生成式人工智能浪潮带来的发展契机,破除传统思政课教学弊端,扩展教学场域,丰富教学资源,实现精准施教,完善教学评价,构建思政教学新图景.然而,生成式人工智能与思政课教学在教学内容、信息安全以及价值引领等方面的内在张力也使得赋能任务面临障碍.因此,需要从提升人机协同能力、提高主体素养、完善技术生态、明确算法责任主体、加强技术监管、锚定主流价值导向等方面入手,助力思政课教学效果向善向好.

Abstract

The reform of ideological and political course teaching in colleges and universities should resolutely seize the development opportunity brought by the wave of generative artificial intelligence,break and improve the drawbacks of traditional ideological and political course teaching,expand the teaching field,enrich teaching re-sources,achieve accurate teaching,improve teaching evaluation and build a new picture of ideological and political course teaching.However,the inherent tension between generative artificial intelligence and ideological and politi-cal teaching in teaching content,information security and value guidance also makes the empowerment task face ob-stacles and it is difficult to embody the demands of knowledge systematization in ideological and political teaching and to satisfy the demands of education subject and object security and mainstream values.Therefore,to promote the teaching of ideological and political courses enabled by generative artificial intelligence,there is need to im-prove the man-machine coordination ability and improve the main quality,improve the technical ecology and clar-ify the main body of algorithm responsibility,strengthen the technical supervision and anchor the mainstream value orientation and other aspects to help improve the ideological and political teaching effect.

关键词

生成式人工智能/思政课/人机协同/教学资源

Key words

generative artificial intelligence/ideological and political lessons/man-machine coordination/teaching resources

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出版年

2024
湖北职业技术学院学报
湖北职业技术学院

湖北职业技术学院学报

影响因子:0.284
ISSN:1671-8178
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