An open learning model for the distance learning architecture

Abstract

Web based learning enables many more students to have access to a distance-learning environment, providing students and teachers with unprecedented flexibility and convenience. At the same time, Web based learning frameworks also pose many problems. For example, a teacher used to old-style teaching methods may find it difficult to put course material online, and a student may suffer from information overload. In this paper, we present an open framework that solves these two problems. In particular, our framework allows students to interact with an automatic question answering system to get their answers, and allows teachers to analysis student learning patterns and organize Web-based contents efficiently. The framework is both intelligent through data mining and case-based reasoning features, and user-friendly through personalized services to both teachers and students.