Environmental Education has become over recent decades an emerging area of knowledge; its evolution has been conditioned not only by different regional dynamics, but also by international guidelines and trends. Therefore, the literature reports multiple and diverse pedagogical, curricular and transdisciplinary approaches to this topic. Likewise, studies on the dynamics and trends in the generation and production of knowledge are relevant to both teachers and researchers in every field of knowledge. In this sense, it is presented a bibliometric study that aims to analyse the international scientific production on Environmental Education on the Web of Science (WoS) within the categories Education and Educational Research and Education, Scientific Disciplines for the last two decades (2000-2019). The information obtained was analysed using different bibliometric techniques, like descriptive statistics, degree of collaboration and co-occurrence maps generated by VOSviewer (version 1.6.15) software. The results show the accelerated increase in the production of knowledge in this area, they present the main research contexts, as well as some educational and research perspectives. Also, the collaboration between authors and universities was identified. Keywords: bibliometrics analysis, environmental education, scientific education, scientific production

Resumen En este estudio se analiza la presencia de la estadística y la probabilidad en nueve proyectos editoriales para alumnos españoles de 3 a 6 años, considerando que las directrices curriculares internacionales contemporáneas promueven la enseñanza de estos contenidos a partir de los 3 años. Para la obtención de los datos, se ha diseñado un instrumento a partir de la técnica del análisis de contenido y, posteriormente, ha sido validado por seis expertos. La versión final del instrumento de análisis está formada por diecisiete categorías, organizadas en cuatro dimensiones: 1) Descripción del proyecto editorial; 2) Presencia de la estadística y la probabilidad; 3) Contenidos que se tratan; 4) Planificación y gestión. Los resultados obtenidos muestran que la presencia de la estadística y la probabilidad en los proyectos editoriales analizados es escasa y que no ofrecen suficiente información al profesorado para promover la alfabetización estadística y probabilística. Se concluye que es necesario que los proyectos editoriales repiensen las tareas que se proponen a los alumnos de 3 a 6 años para que, en su conjunto, permitan desarrollar una postura crítica ante la avalancha de datos y las situaciones de incertidumbre de nuestro entorno.

Objetivo. La difusión de la investigación que se realiza en el campo educativo se ha analizado de manera reiterada en el mundo académico. Desde Clarivate Analytis se han incorporado nuevas herramientas que pretenden cubrir tanto temáticas como regiones que subrepresentadas en el WoS; de este modo surge el Emerging Sources Citation Index (ESCI). El propósito de este estudio es el de conocer la producción científica de Colombia en el campo de la Educación en el ESCI entre los años 2005 y 2019 y cuál es la participación de la mujer.Método. Se trata de un estudio exploratorio de carácter descriptivo en el que utilizan técnicas de carácter bibliométrico para obtener la información. Se utilizaron tanto Excel como SPSSS para realizar los procedimientos estadísticos. Se determinó el género de todos los autores de cada documento.Resultados. Los resultados indican que en el año 2005 las mujeres solamente firmaban en el 36,67% de los documentos, mientras que en el año 2019 firman el 48,52%. En el 61,30% de las veces el único firmante de los documentos es mujer. El máximo número de firmas es 8. Este último porcentaje es similar a aquellos en los que solo firma un hombre, 63,46%.Conclusiones. LLos datos obtenidos permiten concluir que la brecha de género en las publicaciones del campo de Educación en Colombia se ha cerrado y que actualmente hombres y mujeres firman casi el mismo número de documentos.

In the last two decades, computational thinking has gained wide relevance in international educational systems. The inclusion of this new type of thinking poses educational challenges with some underlying research questions that need to be answered to meet these challenges with quality. Thus, this study focuses on analyzing the difficulties that teachers in initial training experience have, when carrying out translation tasks of programming languages used by certain educational robots, in this case, the Cubetto. For this purpose, a specific learning sequence has been designed to work with different programming languages (Cubetto, Bee-Bot, Scratch) and natural language. The work of early childhood and elementary trainee teachers in these tasks has been analyzed using a descriptive approach. The main results are: (1) some of the difficulties encountered are clearly caused by the Cubetto hardware (regardless of the language to which it is translated) and (2) the designed learning sequence has enabled coding skills to be improved remarkably. We conclude that translation tasks between programming languages are necessary in initial teacher training to improve their ability programming and their computational thinking, and for them to be able to detect the disadvantages and benefits of educational robots in their transposition to the classroom.

Objective: This study aims to determine the level of statistical reasoning and misconceptions expressed by ninth-grade students in two schools. In one of the schools, statistics is taught as a specific subject, while in the other, it is included within the mathematics curriculum. Theoretical Framework: Students are taught statistics throughout their primary education, so by secondary school, they are expected to have developed a good level of statistical reasoning. However, classroom experience suggests this may not be the case. Additionally, this topic often receives less attention in favor of other subjects included in the mathematics curriculum. Method: The methodology adopted for this research includes descriptive and inferential analyses to compare the rate of correct reasoning responses and conceptual errors. Data collection was carried out using the Statistical Reasoning Assessment (SRA) test. Results and Discussion: The results showed different behaviors between the two groups. This suggests that teaching statistics separately from mathematics can influence the learning of this subject. Research Implications: The advantages offered by separating statistics from the rest of mathematics suggest that this approach should be considered in the future teaching of the subject. Originality/Value: This study contributes to the literature by demonstrating that the separation of statistics from mathematics teaching should be considered. The relevance and value of this research are evidenced by the need to improve students' statistical reasoning abilities.