E-learning grows rapidly and it draws the attention to
an important shift in the educational paradigm. This research tries to propose
and design an intelligent e-Learning environment for students in which
classification techniques and user profiles play the role of an automatic
interactive classification system. This system will simplify the task of
finding the learning materials and related topics. Our research discusses how
specific concepts of the theories of indexing, classifying, retrieving and consultation
of a collection of learning materials based on student profiles might support
various instructional functions of e-Learning. In this research, we conduct an
experiment that carried out on educational materials for C++ Language. Such an
experiment has very special features, which make it different from other
approaches by using thesaurus as a tool for classification. It is important to
evaluate the effectiveness and efficiency of our approach. The experimental
results illustrate an overall performance of classification techniques, having 88% of correctly classified.
Journal Section | Articles |
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Authors | |
Publication Date | September 1, 2016 |
Published in Issue | Year 2016 Volume: 5 |