Investigation of research trends in educational technologies based on scientometric method (1965–2020): a cross-comparative study between publications from the world and the UK

Yılmaz Özden Ş., Hamutoğlu N. B., Kıyıcı M., BOZKURT A.

Educational Technology Research and Development, cilt.71, sa.4, ss.1421-1447, 2023 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 71 Sayı: 4
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11423-023-10224-1
  • Dergi Adı: Educational Technology Research and Development
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, IBZ Online, Periodicals Index Online, Communication Abstracts, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center), INSPEC, MLA - Modern Language Association Database, Psycinfo
  • Sayfa Sayıları: ss.1421-1447
  • Anahtar Kelimeler: Data mining, Educational technology, Research trends, Scientometric method
  • Eskişehir Osmangazi Üniversitesi Adresli: Hayır

Özet

Considering the increasing importance of educational technologies and the debates about the role of technology in education, it is of great importance to reveal research trends in educational technologies. It is also possible to present the big picture of trends and the comparative role of the UK in this picture, which is one of the main countries leading the research trends in the educational technology field. Carrying the existing studies in the literature to a wider range with the comparison of England and the world will levered the literature up to a seminal point. This study is aiming to identify and compare research trends in the educational technology field both in the world and the UK. For this purpose, the studies from 1965 to 2020 indexed in the ERIC database were reviewed by using data mining techniques. The analysis of studies indexed in the field of educational technologies in the ERIC database presented in terms of four fields: Descriptor, Title, Abstract, and Audience. The data were analyzed in terms of these variables and divided into four categories: target audience, methodology, approaches, and technology. Findings have important implications for the field.