Social Network Analysis in support of Distance Learning : Analysing interaction in discussion forums

João Nuno Gonçalves

ISBN 10: 6207923022 / ISBN 13: 9786207923021

Published by Our Knowledge Publishing, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Recently, there has been a growing use of LMS platforms to support e-learning or b-learning initiatives by training and educational institutions. It is therefore necessary to explore new methodologies for working with and analysing interaction in such environments. Analysing the collaborative dimension of activities carried out in the context of distance education, particularly those linked to communication established in online discussion forums, reveals the advantage of using methodologies for representing and analysing relational data, particularly those linked to Social Network Analysis. With this method, we are able to understand the structure of the work network formed, the changes it undergoes depending on the type of interaction, the position of each subject in the network, among other aspects. The aim of this book is to introduce Social Network Analysis as a fundamental analytical tool for developing a sense of online learning community and for designing diversified and efficient activity proposals.

Seller Inventory # 9786207923021

Bibliographic Details

• Title: Social Network Analysis in support of Distance Learning : Analysing interaction in discussion forums
• Publisher: Our Knowledge Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6207923022
• ISBN 13: 9786207923021
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 131 grams

About this title

Synopsis

Recently, there has been a growing use of LMS platforms to support e-learning or b-learning initiatives by training and educational institutions. It is therefore necessary to explore new methodologies for working with and analysing interaction in such environments. Analysing the collaborative dimension of activities carried out in the context of distance education, particularly those linked to communication established in online discussion forums, reveals the advantage of using methodologies for representing and analysing relational data, particularly those linked to Social Network Analysis. With this method, we are able to understand the structure of the work network formed, the changes it undergoes depending on the type of interaction, the position of each subject in the network, among other aspects. The aim of this book is to introduce Social Network Analysis as a fundamental analytical tool for developing a sense of online learning community and for designing diversified and efficient activity proposals.