This study developed a comprehensive bibliometric framework by integrating data from Scopus, Web of Science, and Google Scholar, leveraging the unique strengths of each platform. The dataset, comprising 6,000 papers, was proportionally distributed across the three sources, with 40% from Scopus and 30% each from Web of Science and Google Scholar.…

This research is based on a bibliometric analysis of publications on math anxiety. It aims to analyze the distribution of the results of publications on math anxiety in the last ten years based on research trends and topics, reputable journals, influential authors, institutions, and productive countries. Scopus was used as a data collection…

A growth mindset is the belief that one's intellect and abilities may develop through effort. This mindset suggests that intelligence is not fixed but adaptable. With the continuous growth in literature on the growth mindset in mathematics, there is a need to investigate the current trends from a bibliometric perspective. To meet this need, the…

This study aims to present a bibliometric analysis of international research on the response to intervention (RTI) approach. An analysis was conducted using the Web of Science database focusing on the period between 1997 and 2023. At the end of this analysis, 477 records that met the search criteria were identified. Initially, a performance…

This bibliometric analysis examines the evolving landscape of blended learning research (2018-2023) through a mixed method. Leveraging a dataset of 1673 documents from 'Web of Science' and employing WPS and VOSviewer, the study addresses a few key research questions. It explores annual publication and citation trends, author and country…

Purpose: This study aims to identify the growth pattern of research literature, most influential authors, most impactful documents and most relevant topics on sustainable development (SD) in higher education management (HEM) from 2000 to 2023. Design/methodology/approach: The research approach used descriptive quantitative and bibliometric…

Health issues present significant and complex challenges to society. This study aimed to investigate research trends related to health issues as socioscientific issues (SSI). The SSI articles analysed were from three prominent data sources: Scopus, Google Scholar, and Pubmed. Articles were retrieved via Harzing's Publish or Perish application…

Introduction: The science, technology, engineering, arts and mathematics (STEAM) approach is currently representing a new teaching and learning process, trying to make an interconnection between these disciplines and their transversalization with the arts to potentiate the thematic scope in students and create new pedagogical and didactic…

This study employs a bibliometric analysis to present the shifting trends in research on teacher competence through an interdisciplinary approach, solely based on scientific contributions shared in the Scopus database. Searches are conducted in the database using search criteria such as "teacher competence" or "teacher…

The purpose of this study is to conduct literature mapping on professional development, continuous professional learning, and teacher professional standards using metadata extracted from 5,156 journal articles indexed in the Web of Science database from 1975 to 2025. The study employs bibliometric methods to describe and visually represent the…

Inspired by the evolving nature of qualitative research, this study aims to examine the use of "qualitative survey", a newer technique in qualitative data collection methods than interviews and observation. In addition to trends in research capacity, collaborations and research topics, the extent to which this data collection method has…

This study aimed to investigate research trends regarding the use of GeoGebra in educational research through bibliometric analysis. 301 articles published in the Web of Science database between 2009 and 2023 were included in the research. Web of Science database and VOSviewer program were used during bibliometric analysis. Performance analysis…

Human intelligence is related to cognitive skills such as the acquisition of new knowledge, problem-solving and abstract thinking in learning processes. These processes are of great importance in mathematical education. Artificial intelligence (AI) can help students develop these cognitive skills by providing customized teaching methods according…

Background: Collaboration in early childhood services is essential for integrating interdisciplinary efforts to support child development. Despite its importance, research trends in this area remain fragmented and require systematic mapping. Aim: This study aims to analyse research trends on collaboration in early childhood services over the past…

While the use of artificial intelligence in education is a prominent area of research, it has also become a collaborative application for educational institutions. These institutions are working to develop AI-based systems to enhance existing educational frameworks. Accordingly, this study conducts a bibliometric analysis of research on artificial…