• DocumentCode
    3775066
  • Title

    Twitter Scheduler System as e-Learning Tool

  • Author

    Ali Al Soufi;Aysha Obead;Sara Althawadi;Zanab Al Hayki

  • Author_Institution
    Inf. Syst. Dept., Univ. of Bahrain, Manama, Bahrain
  • fYear
    2015
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    Social media in the educational field has become desirable and targeted because of its familiarity among people. Twitter is one such social media applications that has a feature of quickly spreading the news as they occur in real time. It has a text limit of 140 letters, which could be really interesting to use as an e-learning tool. The purpose of this paper is to, 1. Identify the susceptibility of University of Bahrain´s (UOB) students to use Twitter as part of their education process, 2. Identify the preferred time when the students use Twitter, 3. Use the outcome of the first two objectives in developing a prototype that works as Twitter scheduling system to test the applicability of using bulk scheduled messages as a supporting tool in the learning process. The results of the research revealed that students at UOB do use Twitter heavily were happy to use it as an e-learning tool. Furthermore it found that the preferred times are from 9-11 pm, 11 pm -- 1 am and 10 am -- 12 pm. These timings were then used by UOB teachers to set up their bulk messages in the developed twitter scheduler system mentioned earlier. The system enables teachers to organize, customize and save their messages (tweets) for later use and reuse. Finally, it is important to notes that such system would server many other sectors, such as marketing campaigns, NGO´s awareness campaigns, health education and awareness by governmental agencies, member´s communication and education tools in political and professional societies.
  • Keywords
    "Twitter","Media","Electronic learning","Interviews","Web 2.0","Business"
  • Publisher
    ieee
  • Conference_Titel
    e-Learning (econf), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/ECONF.2015.54
  • Filename
    7478226