The present study is undertaken to investigate research towards thinking skills and creativity in the field of education by utilizing the bibliometric mapping method. The metadata of a total of 326 studies completed between the years 1975-2021 retrieved from the Web of Science (WoS) database constitute the scope of the study. In this context, the…

This bibliometric study aims to map the value education model research to provide direction for future research, especially in education and teaching. It is essential because value is the core of education. After all, in addition to opening the window of knowledge, education also has a role in transferring values for internalizing them in the…

This metadata-based literature study provides a comprehensive mapping of China's music education by analysing 3,257 Chinese research articles published during 2007-2019. The selection of the articles is based on careful inspections of the China National Knowledge Infrastructure (CNKI) database and rigorous coding of literature attributes. The…

Recently, moral education has developed into a popular theme of study in various countries. Mapping of moral education research that includes publication trends, the most cited articles, the most contributing journals and publishers, and the terms in the author keywords needs to be done to provide direction for future research. This article aims…

This research seeks to map several significant aspects in moral education bibliography. The mapping of moral education research that covers the country of contributors, collaborating authors, terms used in article titles and abstracts is needed to direct future research. The aim of this article is at classifying and analyzing moral education…

Nowadays, teaching and learning activity employing the flipped classroom model has an important position in the process of providing education. This research aimed at identifying and analyzing articles examining the flipped classroom model that has been published in several reputable international journals issued in the 2010-2019 timeframe, which…

Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…