Research on Strategies for Empowering Ideological and Political Courses with Digital Intelligence Technology to Present Principles Deeply, Thoroughly, and Vividly

本文聚焦思政课教学,剖析数智技术(如虚拟现实、人工智能等)与思政课融合的基础,探讨其应用现状。重点提出数智技术赋能思政课“讲深、讲透、讲活”的策略,包括挖掘数据、创设情境、优化架构、创新形式等具体措施,旨在提升思政课教学质量,推动教学发展,助力培养新时代高素质人才。同时强调实践中需关注技术适度性等问题。This paper focuses on ideological and political (IP) course teaching, analyzes the basis for the integration of digital intelligence technologies (such as virtual reality, artificial intelligence, etc.) with IP courses, and explores their application status. It particularly proposes strategies for digital intelligence technologies to empower IP courses to be “explained deeply, thoroughly, and vividly”, including specific measures such as data mining, scenario creation, architecture optimization, and form innovation. The aim is to enhance the quality of IP course teaching, promote teaching development, and assist in cultivating high-quality talents for the new era. At the same time, it emphasizes the need to pay attention to issues such as the moderation of technology in practice.

Authors

Publication Details

Journal
Advances in Education
Published
2025-01-01
DOI
https://doi.org/10.12677/ae.2025.155772
Primary Topic
Ideological and Political Education
Type
article
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article

Research on Strategies for Empowering Ideological and Political Courses with Digital Intelligence Technology to Present Principles Deeply, Thoroughly, and Vividly

晓静 郑
Advances in Education
Ideological and Political Education
article

Research on Strategies for Empowering Ideological and Political Courses with Digital Intelligence Technology to Present Principles Deeply, Thoroughly, and Vividly

晓静 郑
article en

Abstract

本文聚焦思政课教学,剖析数智技术(如虚拟现实、人工智能等)与思政课融合的基础,探讨其应用现状。重点提出数智技术赋能思政课“讲深、讲透、讲活”的策略,包括挖掘数据、创设情境、优化架构、创新形式等具体措施,旨在提升思政课教学质量,推动教学发展,助力培养新时代高素质人才。同时强调实践中需关注技术适度性等问题。This paper focuses on ideological and political (IP) course teaching, analyzes the basis for the integration of digital intelligence technologies (such as virtual reality, artificial intelligence, etc.) with IP courses, and explores their application status. It particularly proposes strategies for digital intelligence technologies to empower IP courses to be “explained deeply, thoroughly, and vividly”, including specific measures such as data mining, scenario creation, architecture optimization, and form innovation. The aim is to enhance the quality of IP course teaching, promote teaching development, and assist in cultivating high-quality talents for the new era. At the same time, it emphasizes the need to pay attention to issues such as the moderation of technology in practice.

Advances in EducationVol. 15(05)
Openalex Percentile: Top 89%
Ideological and Political Education
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