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Analysis of Scholarly Communications of Students on Twitter
Author(s)
Yoshida, Masami
Date Issued
January 1, 2022
Type
Article
Abstract
As part of an applied activity of a university course in Japan, a total of 65 students posted messages on Twitter regarding world issues to expand the scope of scholarly communication with social users on Twitter. The students’ motivation to learn was evaluated using a standard questionnaire. Gradually, social media analysis was introduced for examination from a holistic perspective. For the first time, we also attempted to use exponential random graph models to investigate the structures of a network with statistical evidences. The connections exhibited by students were classified into three types: crossing, private, and isolation. The multiple comparison test showed a significant result: students of the crossing type were more motivated than those of the isolation type. The result also showed how students communicate with users from other networks, elucidated the connections and structures of tweets, and extracted influential students from the network. In conclusion, the skills to connect with social Twitter users as well as communication among students were found to be indispensable factors in expanding the scholarly network and developing social capital in the community
Citation
International Journal of Emerging Technologies in Learning, 17(9), 4-19, 2022