Abstract
Effective E–Learning requires ability to adapt in order to provide students with personalised learning path, based on specified goals and personal profiles, as well as the possibility of re-evaluating learning paths during the learning process based on actually learned topics. Moreover, shared teaching materials spread over the network, requiring an effective and efficient management solution for their storage and retrieval. In this paper we propose an E–Learning architecture where personalisation and dynamic adaption is achieved through the construction of learning paths tailored to each student’s knowledge and needs, also allowing dynamically re-evaluation of such paths during the learning process, according to personal test results and/or needs. In addition, we arrange teaching materials into PROSA (P2P Resource Organisation by Social Acquaintances), a P2P network that tries to mimic the way social links among peers are established and evolve, in order to build a self organising network for an effective and efficient resource sharing and retrieval.
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Carchiolo, V., Longheu, A., Mangioni, G., Nicosia, V. (2008). Adaptive E–Learning: An Architecture Based on PROSA P2P Network. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_81
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DOI: https://doi.org/10.1007/978-3-540-69052-8_81
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