Artificial Intelligence Enabling Contemporary Politics and the Construction of Marxist Educational Discourse Systems

Author:

Wang Kai1

Affiliation:

1. Fujian Jiangxia University , Fuzhou , Fujian , , China .

Abstract

Abstract Only by grasping the pulse of the times and continuously injecting the spirit of the times into Marxism can the construction of its discourse system have a source of living water. Based on artificial intelligence, this paper constructs the discourse system of contemporary politics and Marxism education from three aspects: synchronous resonance, comprehensive coordination, and human-computer interaction. The research data from seven universities from April to September 2022 were selected as research examples, and the degree of influence of artificial intelligence on the discourse capacity of contemporary politics and Marxism education was explored using multiple linear regression models and principal component factor analysis. The reliability test and exploratory factor analysis were conducted for the research questionnaire data, and the validation analysis was conducted for the influencing factors and influencing factors of Marxist educational discourse competence. The results show that the degree of influence of the homophily resonance ability factor on Marxist educational discourse ability is 42.78%, and the R2 test results of artificial intelligence technology homophily resonance, comprehensive coordination, and human-computer interaction are all greater than 0.5. The discourse ability of contemporary political and Marxist education is enhanced by 0.726 percentage points when university technology increases by 1 percentage point. The construction of the discourse system of contemporary political and Marxist education empowered by artificial intelligence requires deep excavation of the discourse content and the creation of high-quality discourse contexts in order to realize the full, whole and all-around nurturing of Marxist education in colleges and universities.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3