Abstract
This article carries out a bibliometric research review to present the evolving landscape of innovations in science education. The study acknowledges the dynamism of the contemporary educational practices and uses the bibliometric analyses for identification of trends, assessment of impacts of scholarly outputs, and mapping the future directions in the field of science education innovation. Starting with a review of the standard bibliometric indicators, e.g., citation analysis and co-authorship, the review lays down the theoretical basis for the understanding of the scientific impact of the innovations in science education. The analysis, moreover, consists of identifying thematic foci and emerging topics through keyword mapping, which together present a holistic picture of the intellectual map of the field. The review points to seminal works and trends, demonstrating the nature of interdisciplinarity in research in science education innovation. By the analysis of collaborative networks and research hotspots the research not only demonstrates the present status of the field, but also predicts its future directions, which could help researchers and educators at the same time. Also, as a retrospective tool, the article explores the general relevance of bibliometric insights for educators, administrators, and other researchers. It highlights the application of bibliometrics in evidence-based decision-making, curricula design and international collaboration, because it is common knowledge that it can trigger the great revolution in innovative science education. This bibliometric review generates useful outcomes, which are beneficial to academic discussions and provide guidelines for future research efforts as a key reference for researchers who would like to have a deep, general overview of the innovations in science education.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Review Article
EURASIA J Math Sci Tech Ed, Volume 20, Issue 6, June 2024, Article No: em2453
https://doi.org/10.29333/ejmste/14591
Publication date: 01 Jun 2024
Online publication date: 07 May 2024
Article Views: 968
Article Downloads: 581
Open Access References How to cite this article