E-Learning class formation will take benefit if common learners’ needs are taken into account. For instance, the availability of trust relationships among users can represent an additional motivation for classmates to engage activities. Common experience also suggests that there are many similarities within dynamics of formation for thematic social network groups and e-Learning classrooms. Since Online Social Networks provide data concerning users interactions (e.g. trust relationships), we propose a model aimed at managing the formation and the evolution of e-Learning classes based on information available on Online Social Networks — skills, interactions, and trust relationships — which are properly combined in a unique measure. The aim is to suggest both to a user the best classes to join with and to the classes themselves the best students to accept. The proposed approach has been tested by simulating an e-Learning scenario within a large social network. Experiments show that this proposal is able to support students and class managers in order to satisfy their expectations in a scalable manner.

Combining trust and skills evaluation to form e-Learning classes in online social networks

ROSACI D;SARNE' G
2017

Abstract

E-Learning class formation will take benefit if common learners’ needs are taken into account. For instance, the availability of trust relationships among users can represent an additional motivation for classmates to engage activities. Common experience also suggests that there are many similarities within dynamics of formation for thematic social network groups and e-Learning classrooms. Since Online Social Networks provide data concerning users interactions (e.g. trust relationships), we propose a model aimed at managing the formation and the evolution of e-Learning classes based on information available on Online Social Networks — skills, interactions, and trust relationships — which are properly combined in a unique measure. The aim is to suggest both to a user the best classes to join with and to the classes themselves the best students to accept. The proposed approach has been tested by simulating an e-Learning scenario within a large social network. Experiments show that this proposal is able to support students and class managers in order to satisfy their expectations in a scalable manner.
File in questo prodotto:
File Dimensione Formato  
DeMeo_2017_INS_combining_editor.pdf

non disponibili

Descrizione: versione editoriale
Tipologia: Versione Editoriale (PDF)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.6 MB
Formato Adobe PDF
1.6 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
DeMeo_2017_INS_combining_post.pdf

embargo fino al 01/12/2020

Descrizione: versione postprint
Tipologia: Documento in Post-print
Licenza: Creative commons
Dimensione 1.77 MB
Formato Adobe PDF
1.77 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/3390
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 35
  • ???jsp.display-item.citation.isi??? 22
social impact