Bibliometric Analysis of Research on Learning Analytics Based on Web of Science Database Cover Image

Bibliometric Analysis of Research on Learning Analytics Based on Web of Science Database
Bibliometric Analysis of Research on Learning Analytics Based on Web of Science Database

Author(s): Tarik TALAN, Muhammet Demirbilek
Subject(s): Education, Methodology and research technology
Published by: Vilniaus Universiteto Leidykla
Keywords: bibliometric analysis; learning analytics; VOSviewer; Web of science;

Summary/Abstract: The purpose of this study is to reveal the status of scientific publications on learning analytics from the past to the present in terms of bibliometric indicators. A total of 659 publications on the subject between the years 2011-2021 were found in the search using keywords after various screening processes. Publications were revealed through descriptive and bibliometric analyses. In the study, the distribution of publications by years and citation numbers, the most published journals on the subject, the most frequently cited publications, the most prolific countries, institutions and authors were examined. In addition, the cooperation between the countries, authors and institutions that publish on the subject was mentioned and a network structure was created for the relations between the keywords. It has been determined that research in this field has progressed and the number of publications and citations has increased over the years. As a result of the bibliometric analysis, it was concluded that the most influential countries in the field of learning analytics are the USA, Australia and Spain. The University of Edinburgh and Open University UK ranked first in terms of the number of citations and Monash University as the most prolific institutions in terms of the number of publications. According to the keyword co-occurrence analysis, educational data mining, MOOCS, learning analytics, blended learning, social network analysis keywords stand out in the field of learning analytics.

  • Issue Year: 22/2023
  • Issue No: 1
  • Page Range: 161-181
  • Page Count: 20
  • Language: English