Investigating the educational value of social learning networks: a quantitative analysis

Georgios Dafoulas (Department of Computer Science, Middlesex University, London, UK)
Azam Shokri (Department of Computer Science, Middlesex University, London, UK)

Interactive Technology and Smart Education

ISSN: 1741-5659

Publication date: 21 November 2016

Abstract

Purpose

The emergence of Education 2.0 enabled technology-enhanced learning, necessitating new pedagogical approaches, while e-learning has evolved into an instrumental pedagogy of collaboration through affordances of social media. Social learning networks and ubiquitous learning enabled individual and group learning through social engagement and social distribution of knowledge. Nevertheless, these developments have not been supported with extensive studies focusing on quantifying the impact of technology-enhanced learning on students’ progress and achievement. The purpose of this paper is to investigate how a quantitative overview of Facebook’s influence on students’ progress can be incorporated in a proposed e-moderation model of teaching and learning.

Design/methodology/approach

The approach is based on extending Salmon’s (2003) e-moderation model, which provides an emphasis on the theoretical perspectives that support socially situated learning environments of social networks such as Facebook. The findings revealed that students’ grades were positively influenced by the complementary use of Facebook on their courses of study.

Findings

The use of a social learning network also triggered a significant increase in student participation in learning activities delivered over Facebook.

Research limitations/implications

The main research limitations were due to the fact that a single social network was chosen for conducting the experiments. Furthermore, the investigation was narrowed down to a selected range of sessions offered to college and university students as part of their course.

Originality/value

The paper’s contribution is twofold, as it offers an original set of guidelines for conducting social learning network experiments and provides valuable quantifiable findings on the educational value of such networks.

Keywords

Citation

Dafoulas, G. and Shokri, A. (2016), "Investigating the educational value of social learning networks: a quantitative analysis", Interactive Technology and Smart Education, Vol. 13 No. 4, pp. 305-322. https://doi.org/10.1108/ITSE-09-2016-0034

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.