AI-Empowered Curriculum-Based Political and Ideological Education: A Case Study of the Digital Media Program Cluster at Shenzhen Polytechnic University

Against the backdrop of the AI technology wave and the nation's intensified efforts to advance curriculum-based political and ideological education, exploring AI-empowered innovations in education and teaching has become a crucial topic. This paper takes the Digital Media Program Cluster at Shenzhen Polytechnic University as a case study, focusing on how to deeply integrate AI technology into the teaching practice of curriculum-based political and ideological education to address real-world challenges in traditional models, such as rigid incorporation of ideological and political elements, monotonous teaching methods, and outdated evaluation approaches. The paper constructs a trinity AI-empowerment pathway encompassing "content reconstruction—teaching innovation—evaluation optimization." Through analyzing specific application cases of technologies such as generative AI, virtual simulation, and learning analytics in uncovering ideological and political resources, creating immersive scenarios, and enabling process-based evaluations, it demonstrates the significant advantages of AI technology in enhancing the appeal, impact, and effectiveness of ideological and political education. The study aims to provide a replicable "Shenzhen Polytechnic University Model" and practical blueprint for curriculum-based political and ideological education in the era of intelligence, applicable to vocational colleges as well as new liberal arts and new engineering program clusters.

Authors

Publication Details

Journal
Journal of Education Teaching and Social Studies
Published
2025-10-15
DOI
https://doi.org/10.22158/jetss.v7n4p16
Primary Topic
Ideological and Political Education
Type
article
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article

AI-Empowered Curriculum-Based Political and Ideological Education: A Case Study of the Digital Media Program Cluster at Shenzhen Polytechnic University

Kan Yuan
Journal of Education Teaching and Social Studies
Ideological and Political Education
article

AI-Empowered Curriculum-Based Political and Ideological Education: A Case Study of the Digital Media Program Cluster at Shenzhen Polytechnic University

Kan Yuan
article en

Abstract

Against the backdrop of the AI technology wave and the nation's intensified efforts to advance curriculum-based political and ideological education, exploring AI-empowered innovations in education and teaching has become a crucial topic. This paper takes the Digital Media Program Cluster at Shenzhen Polytechnic University as a case study, focusing on how to deeply integrate AI technology into the teaching practice of curriculum-based political and ideological education to address real-world challenges in traditional models, such as rigid incorporation of ideological and political elements, monotonous teaching methods, and outdated evaluation approaches. The paper constructs a trinity AI-empowerment pathway encompassing "content reconstruction—teaching innovation—evaluation optimization." Through analyzing specific application cases of technologies such as generative AI, virtual simulation, and learning analytics in uncovering ideological and political resources, creating immersive scenarios, and enabling process-based evaluations, it demonstrates the significant advantages of AI technology in enhancing the appeal, impact, and effectiveness of ideological and political education. The study aims to provide a replicable "Shenzhen Polytechnic University Model" and practical blueprint for curriculum-based political and ideological education in the era of intelligence, applicable to vocational colleges as well as new liberal arts and new engineering program clusters.

Journal of Education Teaching and Social StudiesVol. 7(4)
Openalex Percentile: Top 68%
Ideological and Political Education
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AI-Empowered Curriculum-Based Political and Ideological Education: A Case Study of the Digital Media Program Cluster at Shenzhen Polytechnic University — Kan Yuan · Journal of Education Teaching and Social Studies (2025) | TGRS Research Map | TGRS