Abstract
This chapter presents an advanced messaging system, whose goal is to improve the peer-to-peer communication in e-Learning. The improvement is based on the ability of the developed system to produce information that is highly related to the informational needs of the person, who accesses it. The system is an intelligent one because it integrates a classification procedure for retrieval of the messages that have a high potential of being interesting to peers. It uses as input data activity logs obtained by monitoring the communication that takes place within the e-Learning platform. The main data analysis goal is to create a user’s model, for which derived classes are in close relation with specific set of messages. The outcome is in the form of a tool that allows learners to receive a set of recommended messages that is highly to be interesting for them. The tool analyzes the user’s features, classifies them and according with the class label obtained set of messages. The tool also acts as a message indexing system by storing messages in correlation with labels assigned to learners. A classical classification procedure is used for obtaining a labeling. The data used to train the classifier is gathered from the on-line educational environment and contains all the necessary information (i.e., the features) regarding the activities performed by learners on the platform. The high quality of the system is based also on a text-mining module that uses stemming, annotation, and concept detection for a proper assignment of messages to learner’s labels.
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Mihăescu, M.C., Burdescu, D.D., Mocanu, M. (2015). Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System. In: Tsihrintzis, G., Virvou, M., Jain, L., Howlett, R., Watanabe, T. (eds) Intelligent Interactive Multimedia Systems and Services in Practice. Smart Innovation, Systems and Technologies, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-17744-1_4
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