Semantic Web based Adaptive Intelligent Tutoring System

In the last several years, Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Webbased education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. The main idea is to incorporate semantic web tools and resources to the design of artificial intelligence in education (AIED) systems aiming to update their architectures to provide more adaptability, robustness and richer learning environments. However, the construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This paper presents state of the art semantic web methods and tools used for modeling and designing intelligent tutoring systems (ITS). Also it tries to draw attention of Semantic Web users towards e-learning systems with the hope that the use of semantic web technologies in educational systems can help the accomplishment of Anytime, Anywhere, Anybody Learning where most of the WWW resources are reusable learning objects supported by standard technologies and learning is facilitated by intelligent pedagogical agents.