Personalized Recommendation System for Ideological and Political Education in Universities Using AI and Virtual Reality

Background: Ideological and Political Education (IPE) based on the traditional teaching model typically offered in universities, is not always effective in attracting contemporary students due to its lack of interactivity and personalization. Objective: The proposed study will assess the effectiveness of an AIVRbased hybrid personalized recommendation system for improving student engagement, satisfaction, and learning outcomes in IPE. Methods: 250 university students were used in a quantitative research design. Albased models customized learning material,whereas VR simulations gave contextrich interactions. Preand postassessments were used to collect data, and Structural Equation Modeling (SEM) is employed in the study torigorously examine andvalidate the complexrelationshipsamong Albased personalization, VR immersion, student engagement, satisfaction, and learning outcomes within the proposed educational framework. SEM enables simultaneous testing of both the measurement and structural models, ensuring that observed variables reliably represent their underlying constructs and that directional relationships between them are assessed.Using goodnessoffit indices and path coefficients, SEM assesses whether the conceptual model aligns with the empirical data and evaluates the mediating role of student engagement in the relationship between Aland VRsupported teaching methods and improved learning effectiveness. This comprehensive analytical approach strengthens the reliability of the findings and supports the theoretical contributions of the hybrid AIVR learning model. Findings: The combination of AI and VR made a big difference in terms of student engagement and learning. Albased personalization and VR immersion increased motivation and knowledge retention, and student engagement mediated the relationship between teaching methods and outcomes Conclusion: The paper has demonstrated that AI and VR can transform IPE by providing more personalized, interactive, and immersive learning experiences and by serving as a better alternative to traditional learning.