Abstract
This paper presents an intelligent educational system that uses personal agents for providing personalization and adaptation of e-Learning content to learners. More specifically, we focus on a mechanism for guiding the learner through e-Learning material such so as to maximize the possibility to reach specific goals. The mechanism is designed and implemented using personal agents. The guidance is performed in real time and takes into consideration the actions that were performed by learner himself and also by other learners. An inference engine has been designed to decide if a resource (quiz, definition, chapter, etc.) will be proposed to the learner for study. The e-Learning system is organized as a multi-agent system composed of two kinds of agents: personal learner agent and recommender agent.
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Cristian MihÇescu, M., Burdescu, D.D., Ionascu, C.M., Logofatu, B. (2009). Intelligent Educational System Based on Personal Agents. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_50
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DOI: https://doi.org/10.1007/978-3-642-02937-0_50
Publisher Name: Springer, Berlin, Heidelberg
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