Design of an Artificial Intelligence-Driven Personalized Patriotism Education Model
With the rapid development of educational informatization and artificial intelligence (AI) technologies, the traditional, standardized patriotism education model is increasingly unable to meet the personalized and differentiated learning needs of young people in the new era. This study, based on AI technology, designs a personalized patriotism education model. The study begins by analyzing the existing patriotism education models and identifies problems such as a single teaching method, insufficient interaction, and low personalization. In response to these issues, a personalized education solution based on AI is proposed, which includes core modules such as intelligent learning profiling, personalized content recommendations, and interactive learning platforms. This model uses data collection and analysis to create precise profiles of learners' cognitive characteristics, interests, and learning behaviors, providing personalized learning content and interactive experiences. Practical results show that this model effectively enhances learners' interest and educational outcomes, offering a feasible path for innovation in patriotism education for the new era.
Authors
- Qili Zhou
Institutions
- IDEX Corporation (United States) (US)
Publication Details
- Journal
- Advances in Education Humanities and Social Science Research
- Published
- 2025-04-22
- DOI
- https://doi.org/10.56028/aehssr.13.1.832.2025
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00