Leveraging the unique capabilities of intelligent technologies, this study presents an advanced approach to Civics and Politics education, emphasizing personalized and multimodal teaching strategies suitable for various educational stages. We establish an Integrated Civics and Political Teaching Platform using multimodal feature fusion algorithms coupled with personalized recommendation techniques. This platform incorporates genetic algorithm-based analysis of students’ learning behaviors, facilitating a Precision Teaching Service Model that tailors education to individual needs. A comparative study of semester scores highlights the model’s effectiveness: notably, a substantial 19.89 point increase in declarative knowledge scores and a significant reduction in the variability of strategic knowledge scores by 5.28 points. These results affirm the benefits of personalized teaching in enhancing student outcomes in Civics education.