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The aim of this study is to identify the most prolific countries in the field of special education and to discuss the widespread impact of their papers by taking into account the country's h-index. Through a bibliometric analysis, the data were collected in the Web of Science Core Collection category "Education, Special" in the Social Science Citation Index during 2011-2020. The 25 most prolific countries in the field of special education were determined in terms of paper productivity, and it was seen that the leading country was undisputedly the USA (54.42%). Meanwhile, a strong positive correlation was found between the h-index and the number of papers published by the countries (r=0.864). On the other hand, when the ranking in terms of the number of papers was reconfigured by the h-index, it was relatively changed. The possible reasons for this change for the countries with the most changing rankings were discussed by considering some definitive criteria such as the journal quartiles, the percentage of international and domestic, and the percentage of open access papers. This study reports a positive correlation between the quality and quantity in the field of special education for the publications of countries. It has been shown that where the positive correlation deviates, then especially, the journal quartiles, the percentage of international collaboration and the percentage of open access papers have a significant effect. The bibliometric findings may be useful to enrich the discussion about the widespread impact of papers and debate whether the use of h-index is acceptable for cross-national comparisons.

Using data from the Program for the International Assessment of Adult Competencies, this paper compares the earnings premium and employment share of jobs in Science, Technology, Engineering and Mathematics (STEM) across 11 member countries of the Organisation for Economic Co-operation and Development. The results reveal that the STEM wage premium is higher in the United States than in any of the other comparison countries, despite the fact that the U.S. has a larger share of workers in STEM jobs. We also find evidence that the premium varies significantly across STEM sub-fields and education levels, and that the premium tends to be higher in countries with lower unionization rates, less employment protection, or a larger share of employment in the public sector.

This study aims to identify the literacy skills of individuals whose highest level of education was in the field 'teacher training and educational sciences'. The study sample comprised 10,618 individuals in the field of teacher training and educational sciences, selected from 31 countries (participating in the International Adult Skills Assessment Programme during the 2014-2015 survey) using a multi-stage sampling method. The study employed multi-level latent class analysis and three-step analysis in order to determine both the number of multi-level latent classes of educators' literacy scores as well as the selected independent variables' success in predicting those latent classes. The analysis revealed that educators in Germany constituted the group with the highest literacy skills while educators from Singapore comprised the group with the lowest literacy skills. [This study was presented at the 9th International Congress of Educational Research. Ordu University, Ordu, Turkey.]

In this work, a bibliometric analysis of the investigations of the last 54 years focused on the teaching of topology and its applications in the learning of other areas of knowledge was carried out. The articles that appear in the SCOPUS database were taken into account under the search criteria of the words topology and teaching, connected with the Boolean expression AND in the search field ABS. As a result, 329 articles were obtained which, based on the PRISMA methodology, were reduced to 74 papers. In them publication trends, impact of publications, citation frequencies, among others, were compared. In addition, its use was identified for learning topology at different levels of training, areas of knowledge where this discipline is most applied and strategies used to teach these applications.

For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to point to a clear-cut divergence from the mainstream research path. The objective of this paper is to summarise the development trajectory of research on Citizen Science in Education so far, and then shed light on its future development, to help researchers direct their efforts towards the most promising open questions in this field. We achieved these objectives by using the lens of the Affordance-Actualisation theory and the Main Path Analysis method.