This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments. Keywords: Relations, Adaptive E-Learning, Clustering , Social Network , E-learning , and Collaborative Learnin
AbstractThe new generation of e-learning, commonly nominated e-learning 2.0 or social e-learning, ai...
Clustering on social learning network in e-learning has not been widely explored. Social network ana...
Over the years universities have considered to use social networks for learning purposes as most of ...
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart mo...
In This paper we propose an improved E-Learning Social Network Exploiting Approach based on clusteri...
How can the 21st century education system capitalize on online social networks to support formal edu...
Online Social Networks are suitable environments for e-Learning for several reasons. First of all,th...
AbstractThe growth of social networking becomes a main communication between all people. The huge nu...
In the past years learning has evolved from face-to-face to computer supported learning, and we are ...
We present the conceptual integration of two previously implemented prototypes. The result is twofol...
E-learning is a way of teaching by using modern communication mechanisms of computer networks multi...
AbstractWith the help of new technological developments and increase in the number of Internet users...
Education is currently conducted in highly controlled way. E-learning has emerged as an answer to pr...
This article investigates improvements in the learning performance of trainees involved in an E-Lear...
The educational concept of "Zone of Proximal Development", introduced by Vygotskij, stems from the i...
AbstractThe new generation of e-learning, commonly nominated e-learning 2.0 or social e-learning, ai...
Clustering on social learning network in e-learning has not been widely explored. Social network ana...
Over the years universities have considered to use social networks for learning purposes as most of ...
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart mo...
In This paper we propose an improved E-Learning Social Network Exploiting Approach based on clusteri...
How can the 21st century education system capitalize on online social networks to support formal edu...
Online Social Networks are suitable environments for e-Learning for several reasons. First of all,th...
AbstractThe growth of social networking becomes a main communication between all people. The huge nu...
In the past years learning has evolved from face-to-face to computer supported learning, and we are ...
We present the conceptual integration of two previously implemented prototypes. The result is twofol...
E-learning is a way of teaching by using modern communication mechanisms of computer networks multi...
AbstractWith the help of new technological developments and increase in the number of Internet users...
Education is currently conducted in highly controlled way. E-learning has emerged as an answer to pr...
This article investigates improvements in the learning performance of trainees involved in an E-Lear...
The educational concept of "Zone of Proximal Development", introduced by Vygotskij, stems from the i...
AbstractThe new generation of e-learning, commonly nominated e-learning 2.0 or social e-learning, ai...
Clustering on social learning network in e-learning has not been widely explored. Social network ana...
Over the years universities have considered to use social networks for learning purposes as most of ...