An English Reading and Learning System Based on Web

Abstract

Learning management system (LMS) is a web-based system used to develop, implement, and assess a specific learning process. When designing an administration learning system, it is important to understand the general architecture and roles of each level of the system. In this study, we propose a web-based English reading learning system to address the drawbacks of existing methods in English learning resource management that include login impact, system response time, and user satisfaction. English reading materials are integrated using a feature model, and the adaptive recommendation system is built using the ID3 method. The design of the proposed English reading learning system was intended to employ a hybrid of software and hardware that will benefit a wide variety of groups, especially universities, colleges, and organizations. The statistic results showed that the proposed model is capable of meeting the functional objectives of English learning resource management, as well as having a rapid and accurate response time with high user satisfaction.