Social Media Usage Patterns in Higher Education Institutions – An Empirical Study

Yanka Georgieva Aleksandrova, Silvia Stoyanova Parusheva

Abstract


The main goal of this research is to identify some notable trends, opportunities and limitations regarding the application of social media in higher education based on studying the way students use social media during their education. The re-search is focused on the impact of social media on the process of learning, creation and distribution of education related content, as well as on education related communication. The target groups of the research are students in University of Economics Varna enrolled in different bachelor and master programs.
An association analysis was implemented to identify the most common pat-terns regarding the application of social media in the education process. Statistical methods for testing hypothesis were used to assess the relationship between students’ specialty and derived social media patterns.
The findings show that Facebook groups are а preferable social media tool for communication with colleagues, content sharing and distribution, while wikis and university Learning Management Systems (LMSs) are most used for content creation and additional learning. Some social media channels are more preferable for content creation and additional learning compared to scientific databases and e-books.
Following the research results a conclusion can be drawn regarding the leading part of the students in initiating the use of social media compared to the relatively smaller role of the academic staff in this process. A medium to small relationships were discovered between students’ specialty and the application of con-tent sharing communities and forums in knowledge process with students in computer science more likely to use these social media types compared to students in economics.

Keywords


social media, higher education, social networks, Facebook groups, association rules, content sharing communities, wikis, forums

Full Text:

PDF


Copyright (c) 2019 Yanka Georgieva Aleksandrova, Silvia Stoyanova Parusheva


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Indexing:
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo