Contemporary Research Trends in Mobile Learning

EKİN C. Ç., Algabsi S. E.

8th International Congress on Information and Communication Technology, ICICT 2023, London, England, 20 - 23 February 2023, vol.696 LNNS, pp.205-215, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 696 LNNS
  • Doi Number: 10.1007/978-981-99-3236-8_16
  • City: London
  • Country: England
  • Page Numbers: pp.205-215
  • Keywords: Bibliometric analysis, Data mining, Mobile learning, Systematic review
  • Ankara University Affiliated: No

Abstract

This study attempts to conduct a bibliometric analysis of the structure and development of mobile learning research. For this, 7829 publications included in the Elsevier SCOPUS database between 1984 and 2021 were examined using bibliometric analysis by identifying key research areas, most influential authors, co-authorship status of countries, and organizations. As a result of this study, most topics related to mobile learning were Computer Science. “Mobile Learning” was the most used keyword followed by “e-learning” and “higher education”. Top performing organizations were in Taiwan. Taiwan was the major contributor in m-learning publications’ co-citation with other co-authorship countries.