Name
Abstract | ||
|---|---|---|
Online Social Networks are suitable environments for e-Learning for several reasons. First of all, there are many similarities between social network groups and classrooms. Furthermore, trust relationships taking place within groups can be exploited to give to the users the needed motivations to be engaged in classroom activities. In this paper we exploit information about users' skills, interactions and trust relationships, which are supposed to be available on Online Social Networks, to design a model for managing formation and evolution of e-Learning classes and providing suggestions to a user about the best class to join with and to the class itself about the best students to accept. The proposed approach is validated by a simulation which proves the convergence of the distributed algorithm discussed in this paper. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-48829-5_17 | Studies in Computational Intelligence |
Field | DocType | Volume |
Convergence (routing),E learning,Trust relationship,Social network,Computer science,Knowledge management,Software agent,Exploit,Distributed algorithm | Conference | 678 |
ISSN | Citations | PageRank |
1860-949X | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pasquale De Meo | 1 | 741 | 48.91 |
| Lidia Fotia | 2 | 21 | 6.17 |
| Fabrizio Messina | 3 | 363 | 37.95 |
| Domenico Rosaci | 4 | 779 | 55.81 |
| Giuseppe M. L. Sarnè | 5 | 518 | 37.32 |