The present study seeks to map and visualize up-to-date perspectives of the topic of active learning by analyzing and interpreting the different elements that make up learning ecosystems within the European Higher Education Area. With this aim, scientometric methods were employed to analyze a sample of 474 articles recovered from Web of Science (WoS) during the three-year period between 2018 and 2020. All articles examined the topic of active learning. Keywords (authors’ keywords and ‘keywords plus’) from the manuscripts were examined through co-occurrence analysis in order to establish the conceptual structure of active learning. Among the different trends and emerging topics identified, there is an important presence of topics related to technology applied to the field of education, where digital contexts acquire a preponderant role in current education. These innovative changes focused on the digital updating and exploitation of technology represent a methodological challenge that requires an involvement and commitment to this new space for educational practice by teachers and students.

The use of mobile devices facilitates access to knowledge and is at the base of the education of the future. Although the digital society has contributed a number of benefits, it has also been associated with worrying behaviors. The study design consisted of a quantitative approach that was descriptive, inferential and ex post facto in nature. Its purpose was to better understand the opinion of young people regarding smartphone use and describe dependence deriving from regular use. The sample was formed of 420 students from the Faculty of Education at the University of Granada. Results indicate that mobile phone use has displaced use of other technologies such as the television and is associated with communication and recreational activities. In addition, a profile was identified for young people at greater risk of developing a dependence on their mobile devices. This profile constituted female smartphone users with recreational motives and individuals who exceeded mobile phone use by more than six hours a day. To improve the educational use of smartphones, prevention and intervention plans must be designed which ensure correct management of this device, taking advantage of the benefits they offer, while avoiding problems derived from inappropriate use.

Background: School bullying is a problem that has been considered from various different perspectives in the academic literature. The present work seeks to increase knowledge on the influence of the climate established at the school in order to determine if contextual factors can be used as a reference from which to plan interventions directed towards prevention. Methods: An ad hoc validated questionnaire was administered to 554 pupils in secondary education (compulsory and A Level) who were aged between 12 and 18 years. Results: Descriptive bivariate analysis showed the quality of the relationship established by the individual with their environment to be a key indicator of their susceptibility to school bullying. In the same way, acceptance in school is a protective factor against victimization. Conclusions: The most effective interventions are those which focus on the center of education and involve all of the educational community, taking a transversal approach that transforms the cultural system within which students develop.

(1) Background: Nomophobia is a recent behavioural addiction phenomenon. The present study proposes the objective of determining levels of nomophobia in students of Education. In addition, it seeks to find evidence regarding whether cross-tabulating variables produces statistically significant differences and to examine whether the contemplated variables, together with nomophobia levels, can be used to generate a student profile. (2) Methods: A total of 510 students (M = 20.69 years) participated in this study. For the collection of information, we developed a Likert-type ad hoc scale of nomophobia. The quantitative data analysis programmes SPSS v.25 (IBM, Armonk, NY, USA), STATA.v.15 (StatCorp, Spring, TX, USA) and jamovi v.1.2 (The jamovi project, Sidney, Australia) were used to analyse information collected by the previously described scale. (3) Results: The study concludes the existence of three main levels of correspondence. The first is formed by students with a low level of nomophobia. It is associated with students undertaking the first year of a Master’s degree who are older than 24, and in this case, gender does not play a discriminating role. The second describes students with moderate nomophobia. It is associated with females, the degree titles of Pedagogy and Primary Education, undertaking the first or second year of degree study and ages of between 21 and 24. Finally, the third level of correspondence is formed by students with high nomophobia. It is related to the same characteristics as those previously mentioned but ages typically ranging between 17 and 20.

This research aims to establish the importance of the different indicators of a methodological-analytical nature included in the research reports presented in scientific articles. Thus, our interest is focused on determining which of these indicators are the best predictors for establishing a scientific article profile with a higher or lower degree of concreteness. For this purpose, we selected all the scientific articles published in the seven Spanish journals within the field of educational research indexed in the Journal Citation Report (JCR) database during 2016. More precisely, we selected a total of 479 papers published during the three-year period 2014-2016. Each journal obtained an overall score depending on the presence vs absence of such methodological indicators. Following the implementation of the Chi-squared Automatic Interaction Detection technique, where this variable, transformed into a new fictitious variable grouped into three levels, has been taken as a variable criterion, and, as predictors, the ten methodological-analytical indicators, it has been found that, in fact, some methodological-analytical indicators play a more important role than others in the concreteness of the research designs raised in the research work. In this way, we are able to determine how these indicators related to the quality criteria are (QUC); the type of sampling-s considered (ST3); and the study methodology (ME), which have been decisive for the establishment of more complete methodological-analytical designs. La presente investigación pretende establecer la importancia que juegan los diferentes indicadores de naturaleza metodológico-analítica incluidos en los informes de investigación presentados en los artículos científicos. Así pues, nuestro interés se centra en determinar cuáles de dichos indicadores son los mejores predictores para establecer un perfil de artículo científico con un mayor o menor grado de concreción. Para este fin, seleccionamos todos los artículos científicos publicados en las siete revistas españolas del ámbito de la investigación educativa indexadas en la base de datos Journal Citation Report (JCR) durante el año 2016. Exactamente seleccionamos un total de 479 trabajos publicados durante el trienio 2014-2016. Cada una de las revistas obtuvo una puntuación general dependiendo de la presencia vs ausencia de dichos indicadores metodológicos. Tras la implementación de la técnica de Árboles de Decisión, donde se ha tomado como variable criterio dicha variable transformada en una nueva variable ficticia agrupada en tres niveles y como predictores los diez indicadores metodológico-analíticos hemos comprobado que, efectivamente, algunos de estos indicadores juegan un papel más importante que otros en la concreción de los diseños de investigación planteados en los trabajos objeto de investigación. De esta forma, apreciamos como son los indicadores relativos a los criterios de rigor metodológico (CA1); tipo de muestreo-s considerado-s (MU3); y la metodología de abordaje del estudio (ME) los que han resultado determinantes para el establecimiento de diseños metodológico-analítico más completos.

O objetivo deste artigo é realizar uma análise bibliométrica que ajude a delimitar e compreender os conceitos de Neurociência e Neurodidática, ensinados no ensino superior, para uma melhor compreensão dos diferentes processos de aprendizagem, ou seja, tentar explicar o quê, como e por que aprendemos. Foi utilizada uma metodologia quantitativo-bibliométrica a partir da base de dados da Web of Science (WoS). A pesquisa foi realizada por meio da filtragem por "assunto e termos chave" tanto em títulos como em resumos de artigos científicos, utilizando operadores booleanos e truncamentos. Procedemos ao trabalho com duas amostras: a primeira sem utilizar qualquer tipo de filtro ou refinamento de 60 artigos científicos; a segunda filtrando pelas categorias temáticas com uma amostra de 44 artigos científicos. Para a análise dos dados, foram considerados os anos de produção, as fontes de informação, os autores e as palavras-chave dos documentos científicos. Dos resultados apresentados através dos mapas, inferiu-se um total de cinco frentes de investigação como as mais relevantes e relacionadas com o tema, tais como: neurodidática em geral; neurociência e tecnologia; neurodidática e aspectos tecnológicos; programas de neuroeducação e pedagogia e neurodidática. Como se trata de um campo de estudo em desenvolvimento, não foram encontrados grandes problemas específicos, mas, por enquanto, o que se obtém é uma visão bastante ampla e geral dessa área de investigação. Estudos futuros que complementem ou expandam este trabalho poderiam ser orientados para a realização de investigação de replicação.