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Exploring the Impact of Social Learning Networks in M-Learning: a Case Study in a University Environment
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. Tetovo University, Macedonia.ORCID iD: 0000-0001-7520-695x
Tetovo University, Macedonia.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. RISE, Sweden.ORCID iD: 0000-0003-0512-6350
2017 (English)In: Learning and Collaboration Technologies Novel Learning Ecosystems: 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I / [ed] Panayiotis Zaphiris, Andri Ioannou, Vancouver: Springer, 2017, p. 189-198Conference 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
Vancouver: Springer, 2017. p. 189-198
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10295
Keywords [en]
M-learning, Social learning networks, Higher education, Edmodo, Kahoot
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-67455DOI: 10.1007/978-3-319-58509-3_16ISI: 000434087100016Scopus ID: 2-s2.0-85025174998ISBN: 978-3-319-58508-6 (print)ISBN: 978-3-319-58509-3 (electronic)OAI: oai:DiVA.org:lnu-67455DiVA, id: diva2:1136386
Conference
4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017
Funder
Knowledge FoundationAvailable from: 2017-08-28 Created: 2017-08-28 Last updated: 2021-02-09Bibliographically approved

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