Application of Predictive Algorithms in Informational Learning

The application of predictive algorithms has penetrated into various fields, and their applications are becoming increasingly widespread in information learning. The popularization of online learning models and methods allows learners to utilize various and diverse learning resources, develop their knowledge and skills, and grow rapidly in learning. However, the rapid increase in learning resources and information has also brought huge challenges to learning, requiring more efficient learning methods. At this time, predictive algorithms have emerged. Predictive algorithms can analyze and evaluate learners’ historical learning records and learning behavior patterns, predict learners’ learning interests and needs, and recommend personalized learning resources. In this way, predictive algorithms provide efficient and accurate learning suggestions for students, helping to improve learning efficiency and outcomes. In the experimental data, 2.7% were very satisfied with the use of traditional information-based learning systems, and 98.2% were very satisfied with the use of deep learning prediction algorithms in information-based learning systems, indicating a significant improvement. Therefore, predictive algorithms have become an indispensable and important component in information learning.