Use of Social Networks Sites (SNSs) as A Collaborative Learning Technique: Survey Analysis and Mining Approach

Headnote

Abstract- This study adopts a multi-disciplinary approach, relating social psychology and information sciences. It aims at measuring the significance of social networks usage in collaborative learning using different information science techniques. After extensive review for relevant literature it has been noticed that the implementation context namely Middle East and North Africa (MENA) region is starving for such stream of researches.

A number of studies underscored various aspects of the relationship between Social Network Sites (SNS) and collaborative learning such as perception, satisfaction, collaboration, engagement, integration, innovation, performance, interaction, problem solving, motivation, knowledge sharing and discovery, information sharing, and communication.

A survey targeting about 300 students as a sample of relevant stakeholders (users) was conducted over a period of one-year. Three data mining models are implemented using the transformation methods, clustering techniques, and decision tree classification methods. They are all included as part of the triangulation of methods for providing the research analysis higher credibility, reliability and validity.

The originality of this research stems from the following: first, applying novel methodological techniques in social networks domain. Second, improved validity and reliability of the results through triangulation of methods applied.

Keywords: Social Network Sites (SNS), Data Mining (DM), Decision Tree (DT), Triangulation of techniques, K-means, Clustering, Association Rules, MENA (Middle East and North Africa), Collaborative Learning (CL)

I. INTRODUCTION

Nowadays, Social Network Sites (SNS) are being used by students, not only for social interactions but also for learning activities since they increase student engagement. Hence, SNS can lead to the creation of virtual communities of learners, which eventually increase the overall learning [1].

Learning activities may include sharing information, doing assignments, discussing issues and other activities that fall under the umbrella of collaborative learning. Nevertheless, there are still more activities to be explored in order to benefit from SNS in the domain of education. This study explores the dimensions of SNS use for collaborative learning, among undergraduate and graduate University students, by means of data mining techniques.

1.1 Problem Definition and Objectives

This study discusses the different dimensions of Social

Networks (SNs) in Collaborative Learning among

University students using different data mining techniques.

As for the objectives, they consist of the following:

* Analyzing SNS dimensions in the domain of Collaborative Learning among University students...