Exploiting trust into e-learning: adding reliability to learning paths Online publication date: Tue, 05-Jan-2010
by V. Carchiolo, D. Correnti, A. Longheu, M. Malgeri, G. Mangioni
International Journal of Technology Enhanced Learning (IJTEL), Vol. 1, No. 4, 2009
Abstract: The personalisation 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. In particular, trust relationships among peers allows to select which ones of them can be considered more authoritative in answering a query within a given topic (described by shared ontologies), whereas trust about learning objects allows to select most reliable resources. 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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Technology Enhanced Learning (IJTEL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook