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Social Networks, Group Cohesion & Collaborative Learning: A Case Study of an International English Language Testing System (IELTS) Training Institute
Linnaeus University, Faculty of Technology, Department of Informatics.
2016 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The study examines the role of social networks’ in collaborative group working within a blended setting. Lingua Franca, Pakistan, an International English Language Testing System (IELTS) training institute, has been investigated as a case study for the aforementioned research question. Focus groups consisting of the institute’s students and training staff were solicited for primary data collection. Theories of learning, social comparison, social exchange and connectivism theory provided the theoretical understanding for the study along with relevant extant literature. Content analysis has been used to analyze and interpret the data. The findings shed light on the myriad yet significant role social networks play in enhancing collaborative group work through their inherent interactive and dynamic features, which unlocks opportunities for self-validation, self-improvement and self-development. The study thus opens new avenues of research into this less studied area of social networks and collaborative group working with respect to learning

Place, publisher, year, edition, pages
2016. , 70 p.
Keyword [en]
Social Networks, Blended Setting, Collaborative Learning, Lingua Franca, Social Exchange, Social Comparison, Connectivism, Content Analysis, Clusters
National Category
Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-55587OAI: oai:DiVA.org:lnu-55587DiVA: diva2:952843
Subject / course
Informatics
Educational program
Master Programme in Information Systems, 60 credits
Presentation
2016-05-30, B3037, Linnaeus University, Växjö, Sweden, 14:15 (English)
Supervisors
Examiners
Available from: 2016-08-17 Created: 2016-08-15 Last updated: 2016-08-17Bibliographically approved

Open Access in DiVA

zeeshan_shahid_approved_paper(476 kB)9 downloads
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Type fulltextMimetype application/pdf

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Shahid, Zeeshan
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