A Novel Model of Network Ideological Education in Universities Based on Learning Analysis for the Era of 5G Mobile Computing

Internet 5G introduces new methods and carriers for NIE (network ideology education) and marks a new milestone in multicarrier linkage and multichannel university NIE education, combining the benefits of emerging and traditional media. The specific intervention strategies for college students’ online learning procrastination are calculated in this paper, and a learning analysis-based implementation framework for college students’ online learning procrastination intervention is built. The K -means algorithm is used to analyze learning style; additional contextual information, such as student-knowledge point mastery and lesson-knowledge point, is added using the CF (collaborative filtering) algorithm, and students’ mastery is predicted using the excavated learning path. Experiments show that adding more data improves the prediction effect, especially in terms of operation efficiency. At the same time, the proposed framework can not only dynamically assess students’ knowledge mastery but also facilitate systematic review feedback and learning order adjustment, as well as provide personalized learning services.