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Exploring the impact of social learning networks in M-learning: A case study in a University environment
Linnaeus University, Sweden ; Tetovo University, Macedonia.
Tetovo University, Macedonia.
RISE - Research Institutes of Sweden, ICT, Interactive. Linnaeus University, Sweden .
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The high penetration of Internet, advances in mobile computing and the rise of smartphone usage has largely enhanced the use of social media in education. Moreover, nowadays social learning network (SLN) platforms have become an important educational technology component in higher education. Despite the fact that SLN are becoming ubiquitous in the higher education, there is relatively not much empirical work done investigating their purposefulness when integrated into the learning activities. This paper aims at exploring the impact of SLN in mobile assisted learning and to provide empirical evidence as to what extent SLN and mobile learning (M-learning) can improve the learning experiences. For this purpose, a quantitative experimental approach is used, and two survey questionnaires were conducted. The data is collected from 120 participants. In this study, we focus our intention on Edmodo and Kahoot platforms, which represent social media based tools that aid and support collaboration, knowledge sharing and group activities among students. Computer science students of the Tetovo University (TU) used these tools throughout one semester. From this study, there is significant evidence that students are very interested to use this SLN in a M-learning setting, indicating that SLN can be one of the promising pedagogical technologies that could contribute effectively to learning process.

Place, publisher, year, edition, pages
2017. p. 189-198
Keywords [en]
Edmodo, Higher education, Kahoot, M-learning, Social learning networks, E-learning, Human computer interaction, Learning systems, Social networking (online), Students, Surveys, Social learning, Education
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31181DOI: 10.1007/978-3-319-58509-3_16Scopus ID: 2-s2.0-85025174998ISBN: 9783319585086 OAI: oai:DiVA.org:ri-31181DiVA, id: diva2:1135501
Conference
4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCT. 9 July 2017 through 14 July 2017
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-23Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
  • Other style
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Language
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  • en-US
  • fi-FI
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  • nn-NB
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  • Other locale
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Output format
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