Adaptive E---Learning: An Architecture Based on PROSA P2P Network

  • Authors:
  • V. Carchiolo;A. Longheu;G. Mangioni;V. Nicosia

  • Affiliations:
  • Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Facoltà di Ingegneria, Università degli Studi di Catania, Catania, Italy I95125;Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Facoltà di Ingegneria, Università degli Studi di Catania, Catania, Italy I95125;Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Facoltà di Ingegneria, Università degli Studi di Catania, Catania, Italy I95125;Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Facoltà di Ingegneria, Università degli Studi di Catania, Catania, Italy I95125

  • Venue:
  • IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
  • Year:
  • 2008

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Abstract

Effective E---Learningrequires 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---Learningarchitecture 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.