Personalized learning model for higher education based on the integration of big data and ideological and political education.

Big data supports personalized learning but often neglects value-oriented student development. In China, ideological and political education (IPE) is essential for talent cultivation, yet its integration with data-driven personalization remains limited. To address this, we propose a Big Data and IPE Personalized Learning Model (BD-IPE-PLM) that links data collection, learner profiling, IPE integration, personalized support, and dynamic evaluation. Using expert consultation and survey data, we assess the model's rationality and applicability. Results show that big-data-supported analytics positively relate to perceived personalized support and IPE integration, with IPE integration more strongly associated with IPE outcomes than academic outcomes. Data privacy concern negatively correlates with perceived support, emphasizing the need for responsible governance. We conclude that personalized learning is not purely technical. It requires data evidence, teacher judgment, value guidance, student engagement, and ethical governance.