Extending Educational Web Application with Elasticsearch-Based Log Analysis and Predictive Analytics

Modern educational web applications require robust activity logging to understand user behavior and system performance. This paper presents the implementation of a comprehensive logging system built on the Elasticsearch platform for an educational web application. The system incorporates a .NET-based log processing pipeline, interactive Kibana dashboards, and neural network models for user behavior analysis and traffic prediction. We demonstrate the system’s capability to process, analyze, and visualize user interactions, providing valuable insights into educational resource utilization patterns. [1]