New Horizons in Web Based Learning: ICWL 2014 International by Yiwei Cao, Terje Väljataga, Jeff K.T. Tang

By Yiwei Cao, Terje Väljataga, Jeff K.T. Tang

This booklet constitutes the revised chosen papers of the workshops of the thirteenth overseas convention of Web-based studying, ICWL 2014, held in Tallinn, Estonia, in August 2014. This quantity contains papers of six workshops: 1. The 7th overseas Workshop on Social and private Computing for Web-Supported studying groups (SPeL 2014) 2. the 1st foreign Workshop on Peer-Review, Peer-Assessment, and Self-Assessment in schooling (PRASAE 2014) three. foreign Workshop on cellular and customized studying (IWMPL 2014) four. the 1st overseas Workshop on Open Badges in schooling (OBIE 2014) five. The Fourth foreign Symposium on wisdom administration & E-Learning (KMEL 2014) 6. the way forward for e-Textbooks Workshop (FeT 2014).

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Shortest path) among the nodes of the graph and measures the independence of a node. It is defined as the mean geodesic distance between a node and all other nodes reachable from it. Closeness can be regarded as a measure of how long it will take information to spread from a given node to other nodes in the network; – Density. This metric describes the general level of linkage among the nodes of a graph. , each node is connected to each other by e direct link. This metric aims to measure how far from this state of completion the graph is.

Of course, being in the context of a spontaneous flow of information as the one spurred in a CoP setting, it is not possible to force changes in the pace of communication. , those with higher reputation), a prompt feedback to inquiries, most of all from novice members, and the organization of online events, can maintain the community alive and healthy. In a worth while multi-lingual setting, it would be quite natural that the language dimension should prevail on other aspects, unless appropriate translation services are provided.

Consider not only ratings of those who “survived” to the successful or unsuccessful end of interaction (providing correct or incorrect solution, or choosing that they do not know the solution), but also those, who may have left before. , they chose to see a hint for the exercise). While we may not be able to always exactly predict that the user is leaving, we can still obtain a difficulty rating. In the case when the learner persists afterwards, we can obtain another, final, rating for the given learning object.

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