Use of technologies and online presence is now almost inevitable in language learning. The practice of virtual exchanges (VEs) has been receiving a lot of attention among educators at all levels over the past years. This research paper sheds light on 13 VEs carried out in pre-service teacher education in the last six years and proposes its own VE design based on recommendations from the literature with the future perspective of designing a specific VE for the research. The aim of the systematic review was at first to determine the exchange and interaction set-ups and the potential gains in the terms of pre-service teachers’ skills development. Afterwards, we identified areas for improvement and proposed our design of a VE between pre-service teachers of English in Slovakia and Turkey. Some of the expected contributions of the proposed VE design are development of a linguistic and intercultural communicative competence, digital literacy, and other competences relevant for development of VEs.

The purpose of this study is to analyze how the entrepreneurial mindset, social context, and entrepreneurial ambitions of university students in the United Arab Emirates (UAE) have progressed over time in terms of starting their businesses. The research aims to investigate the evolution of the entrepreneurship mindset, considering the implementation of educational and governmental policies over the past decade to promote entrepreneurship among UAE university graduates. To collect primary data and evaluate the impact of the studied variables on the dependent variable “entrepreneurial ambitions,” a self-created questionnaire was used. The results reveal a positive correlation between personal context variables and entrepreneurial ambitions, as well as between personality traits and entrepreneurial ambitions. Furthermore, the study demonstrates the constructive effect of education, government policies, and capital availability on fostering entrepreneurial ambitions in the UAE.

The telecommunications services market faces essential challenges in an increasingly flexible and customer-adaptable environment. Research has highlighted that the monopolization of the spectrum by one operator reduces competition and negatively impacts users and the general dynamics of the sector. This article aims to present a proposal to predict the number of users, the level of traffic, and the operators’ income in the telecommunications market using artificial intelligence. Deep Learning (DL) is implemented through a Long-Short Term Memory (LSTM) as a prediction technique. The database used corresponds to the users, revenues, and traffic of 15 network operators obtained from the Communications Regulation Commission of the Republic of Colombia. The ability of LSTMs to handle temporal sequences, long-term dependencies, adaptability to changes, and complex data management makes them an excellent strategy for predicting and forecasting the telecom market. Various works involve LSTM and telecommunications. However, many questions remain in prediction. Various strategies can be proposed, and continued research should focus on providing cognitive engines to address further challenges. MATLAB is used for the design and subsequent implementation. The low Root Mean Squared Error (RMSE) values and the acceptable levels of Mean Absolute Percentage Error (MAPE), especially in an environment characterized by high variability in the number of users, support the conclusion that the implemented model exhibits excellent performance in terms of precision in the prediction process in both open-loop and closed-loop.

Families are the central nucleus of society; however, they face internal challenges that affect their functioning and stability, often manifesting in incidents of domestic and gender-based violence. The World Health Organization has classified this violence as a severe public health problem and a violation of human rights. To address this issue, the Congress of the Republic of Colombia enacted Law 2126 of 2021, introducing significant changes to the responsibilities of authorities in preventing, restoring, protecting, and repairing the rights of victims. This law provided a three-year implementation period for territorial entities, which concluded on 4 August 2023. In 2023, 119,483 cases were reported, and by June 2024, the number had reached 63,528—the highest recorded to date. This situation continued to escalate uncontrollably throughout 2024, overwhelming functional capacity and resulting in a crisis. Therefore, the objective of this study is to analyze the guarantee of rights for victims of violence in the family context, within the competencies of Family Commissariats, as outlined in Law 2126 of 2021. The methodology focuses on analyzing academic and scientific databases, including studies and articles published in indexed journals, to evaluate government measures and describe the challenges in service provision by Family Commissariats to propose conclusions. The approach is qualitative, with a hermeneutic, documentary, legal-dogmatic orientation and anthropological contributions. The results reveal that the law’s implementation has been gradual, surpassing the established deadline. Administrative, political, and financial factors identified over the three years remain unresolved in 2024. The situation for victims of physical, psychological, economic, and sexual violence within the family context has worsened due to multicausal obstacles to accessing justice in a timely, efficient, and effective manner. Consequently, there is evidence of an exponential increase in violence, underreporting, impunity, setbacks, procedural delays, normalization of violence, and re-victimization, among other issues.

In this paper, a study developed at the University of Seniors in Aragón is presented. The Sono-libro, used as an innovative resource, is assessed in the proposal with an educational and pedagogical purpose. The aim is to understand the motivational and learning perception variation after the incorporation of the Sono-libro in the sample. In this quantitative longitudinal design study, the listening habits of the participants are comparatively analyzed at two moments: The first data collection took place before the implementation of the proposal, and the second collection occurred after the proposal. The sample consists of 116 subjects, with 64.16% being women and an average age of 66 years of age. Data was obtained through a validated ad hoc questionnaire judged by experts. The results of the data collections showed an increase in both motivation and perception of the learning obtained, indicating the benefits of incorporating digital resources into contexts of adult students.

Political representation is responsible for choices regarding the supply and the management of transport infrastructure, but its decisions are sometimes in conflict with the will and the general interest expressed by citizens. This situation has progressively prompted the use of specific corrective measures in order to obtain socially sustainable decisions, such as the deliberative procedures for the appraisal of public goods. The standard Stated Choice Modelling Technique (SCMT) can be used to estimate the community appreciation for public goods such as transport infrastructure; but the application of the SCMT in its standard form would be inadequate to provide an estimation that expresses the general interest of the affected community. Hence the need to adapt the standard SCMT on the basis of the operational conditions imposed by deliberative appraisal procedures. Therefore, the general aim of the paper is to outline the basic conditions on which a modified SCMT with deliberative procedure can be set up. Firstly, the elements of the standard SCMT on which to make the necessary adjustments are identified; subsequently, modifications and additions to make to the standard technique are indicated; finally, the contents of an extensive program of experimentation are outlined.