Development and application of red cultural education resources based on artificial intelligence

This study is dedicated to the innovative integration of artificial intelligence technology and red cultural education resources in order to promote the modernization transformation and upgrading of red cultural education. The study first realizes the intelligent collection, arrangement, and deep value mining of red cultural education resources by using advanced technologies such as natural language processing and image recognition. On this basis, a dynamically updated and accurately matched red culture education resource base based on artificial intelligence is constructed to meet users’ personalized learning needs. The core innovation of the research lies in the design and development of a red culture education resource system integrating intelligent acquisition, intelligent analysis and intelligent pushing, which breaks through the limitations of traditional education resources in terms of form and content and creates a new mode of red culture education. In addition, the study also skillfully introduces emerging technologies such as virtual reality and augmented reality to build interactive red culture teaching scenes, which greatly enhances the experiential and participatory nature of education, and strengthens the emotional resonance and cognitive depth. In order to verify the application effect of AI-based red culture education resources in actual teaching, this study carefully designed and implemented an evaluation experiment. The experiment went through three stages, systematically collected and rigorously analyzed the data, and the results showed that the interactive red culture teaching scenario had significant teaching effects in practical application, significantly improved the attractiveness and effectiveness of red culture education, and also strongly promoted the modern dissemination and inheritance of red culture. With the advancement of technology and the continuous optimization of teaching content, this new teaching mode is expected to be popularized in a wider range, which will strongly promote the development of red culture education.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-08-16
DOI
https://doi.org/10.1177/14727978251369636
Citations
1
Primary Topic
Ideological and Political Education
Type
article
Field-Weighted Citation Impact
8.93
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article

Development and application of red cultural education resources based on artificial intelligence

Li Wen, Y.J. Pei
1 citations
Journal of Computational Methods in Sciences and Engineering
Ideological and Political Education
8.93
article

Development and application of red cultural education resources based on artificial intelligence

Li Wen, Y.J. Pei
article en
1 citations

Abstract

This study is dedicated to the innovative integration of artificial intelligence technology and red cultural education resources in order to promote the modernization transformation and upgrading of red cultural education. The study first realizes the intelligent collection, arrangement, and deep value mining of red cultural education resources by using advanced technologies such as natural language processing and image recognition. On this basis, a dynamically updated and accurately matched red culture education resource base based on artificial intelligence is constructed to meet users’ personalized learning needs. The core innovation of the research lies in the design and development of a red culture education resource system integrating intelligent acquisition, intelligent analysis and intelligent pushing, which breaks through the limitations of traditional education resources in terms of form and content and creates a new mode of red culture education. In addition, the study also skillfully introduces emerging technologies such as virtual reality and augmented reality to build interactive red culture teaching scenes, which greatly enhances the experiential and participatory nature of education, and strengthens the emotional resonance and cognitive depth. In order to verify the application effect of AI-based red culture education resources in actual teaching, this study carefully designed and implemented an evaluation experiment. The experiment went through three stages, systematically collected and rigorously analyzed the data, and the results showed that the interactive red culture teaching scenario had significant teaching effects in practical application, significantly improved the attractiveness and effectiveness of red culture education, and also strongly promoted the modern dissemination and inheritance of red culture. With the advancement of technology and the continuous optimization of teaching content, this new teaching mode is expected to be popularized in a wider range, which will strongly promote the development of red culture education.

Journal of Computational Methods in Sciences and Engineering
Jiangxi University of Water Resources and Electric Power (CN), Nanchang Institute of Science & Technology (CN)
Openalex Percentile: Top 3%
Ideological and Political Education
8.93
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