Abstract
E-Learning area has been intensively developed in recent years. One of the important research areas is related to improving e-Learning activity by giving the intelligent character to this activity besides core functionalities that is implemented in all e-Learning platforms.
This paper presents a method of providing intelligent character to an e-Learning platform by running a platform-side software module. The main goal of the module is to characterize learners according with performed activities and to offer advice regarding the resources that need to be accessed in order to increase the knowledge level of studied discipline. Acquiring this goal is accomplished by employing machine learning algorithms within platform-side software module. After learners are clustered based on performed activities, based on learner’s activity parameters and parameters of target cluster there are obtained the resources which need more study. This approach is feasible due to the fact that the discipline is divided into chapters and each chapter has an associated concept map.
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Burdescu, D.D., Mihăescu, M.C. (2010). Building Intelligent E-Learning Systems by Activity Monitoring and Analysis. In: Tsihrintzis, G.A., Jain, L.C. (eds) Multimedia Services in Intelligent Environments. Smart Innovation, Systems and Technologies, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13396-1_7
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DOI: https://doi.org/10.1007/978-3-642-13396-1_7
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