Custom Knowledge Representation Model for e-Learning

D.D. Burdescu, M.C. Mihăescu, C.M. Ionascu, and B. Logofatu (Romania)


E-Learning; knowledge representation; data mining; machine learning


Enhancing e-Learning process represents one of the greatest challenges. This paper presents a custom knowledge representation model based on activities performed by learners. The main goal of structuring information is to obtain a custom knowledge representation model that may be used in enhancing the e Learning process that produced the data. Different mining techniques may be used on obtained knowledge representation model. The integration and adaptation of mining techniques needs to be fine tuned according with needed outcomes specified by administrators.

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