Reliable Personalized Learning Paths: The Contribution of Trust to E-Learning

被引：0

作者：

Carchiolo, Vincenza ^{[1
]}

Correnti, D. ^{[1
]}

Longheu, Alessandro ^{[1
]}

Malgeri, Michele ^{[1
]}

Mangioni, Giluseppe ^{[1
]}

机构：

[1] Univ Catania, Dipartimento Ingn Informat & Telecomun, Fac Ingn, I-95124 Catania, Italy

来源：

OPEN KNOWLEDGE SOCIETY: A COMPUTER SCIENCE AND INFORMATION SYSTEMS MANIFESTO | 2008年 / 19卷

关键词：

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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 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.

引用

页码：221 / 228

页数：8

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