A Hybrid Classification Algorithm for Web Based Learning

The Web Based Learning concept emphasizes the role of the Internet as a general communications infrastructure; the multimedia features of the World Wide Web; and the potential of the web in facilitating the activities of the learners themselves. Web Based Learning (WBL) offers added flexibility in relation to the time and space contexts of students’ learning; enhanced resources for teachers to develop efficient as well as captivating learning experiences; and strategic potentials for universities to improve educational quality and throughput in response to the needs of the societies they serve. The cognitive aspect of the learners plays an important role to improve the learning ability. To enhance the WBL system it is necessary to know the user’s cognitive aspect through questionnaire. In this paper a novel Hybrid approach is implemented to classify the user’s needs.