Abstract
The personalization of learning paths according to personal profiles is one of the major advantages of computer assisted learning. However, the choice of most suitable learning resources is sometime a controversial question due to different e-learning providers assessment about each other and their learning resources. In this work an approach to address this issue is presented, by exploiting the idea of trustworthiness associated to both learning objects as well as to peers in a P2P e-learning scenario. We test our proposal on an e-learning network based on MERLOT and ARIADNE data. Results show the effectiveness of trust in e-learning context.
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Carchiolo, V., Correnti, D., Longheu, A., Malgeri, M., Mangioni, G. (2008). Reliable Personalized Learning Paths: The Contribution of Trust to E-Learning. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_28
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DOI: https://doi.org/10.1007/978-3-540-87783-7_28
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