Observational analysis of an intelligent decision-support system improving ideological and political education, suggesting enhanced academic performance through tailored learning.
In recent years, ideological and political education has played a crucial role in shaping well-rounded individuals equipped for active civic participation. As the demand for intelligent decision-support systems (IDSS) in universities grows, this study proposes an IDSS to enhance the management and delivery of Ideological and Political Education (IPE). By integrating artificial intelligence and data-driven techniques, the system supports personalized learning, decision-making, and curriculum optimization. Features include data collection, learning analytics, and individualized recommendations via machine learning. It fosters group collaboration and enhances students' understanding through an intuitive interface for both teachers and students. Structural Equation Modeling (SEM) and the ECS optimization algorithm are used to analyze the link between IPE and academic performance. Scenario results confirm the system's effectiveness in improving IPE outcomes and leadership development.
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Yan et al. (2025) studied this question.
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