Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

The objective of this article focuses on making known the obstacles, challenges and benefits experienced by forty-three teachers from Mexican, American, and Canadian universities who participated as presenters in COIL (Collaborative Online International Learning) during the spring of 2023. This qualitative-descriptive research followed a participatory research method through sampling, the data was gathered from twenty presentations which included experiential data, which took place at ANAHUAC university in Mexico, City from September 6th to 8th 2023. The assumption is that the use of the COIL methodology allows the student to have an international and collaborative experience from different approaches and contexts without leaving the classroom, becoming a tool for the internationalization and expansion of the curriculum that, in turn, expands global and digital competencies of teachers and students. This includes suggestions for future teachers in the implementation of COIL courses.

This article aims to identify the factors that affect academic performance by comparing regression models and decision trees to determine the factors involved. The methodology adopted is quantitative in nature, focused on the collection of numerical data and its statistical analysis, in order to evaluate the relationships between different variables and determine those factors that influence academic performance. The population studied includes remedial students in the statistics career, who underwent an exploratory and descriptive analysis, using two statistical methods. Two modeling techniques were used: multinomial logistic regression and classification trees. The variables evaluated included sociodemographic factors, previous academic performance, and characteristics of the educational environment. The results showed that the logistic regression model achieved 100% accuracy with an AUC of 1, indicating perfect classification ability. In comparison, the classification tree model had an accuracy of 70.83% with an AUC of 0.7042, reflecting moderate classification ability. From these results, key factors that affect academic performance were identified, such as study habits, interest in the career and psychological aspects. In conclusion, multinomial logistic regression was more effective and accurate in analyzing the quantitative relationships between the variables that affect academic performance, outperforming the classification tree method.

The objective of this research was to describe the travel motivations of tourists in Machala after the COVID-19 pandemic. A phenomenological methodology was used, applying in-depth interviews and focus groups with tourists who visited the city after the health crisis. This approach provided a contextualized understanding of travelers' perceptions. The results indicate that the main motivations include the search for unique experiences, the desire for social reconnection, and the need to escape the stress accumulated during confinement. In addition, an increase in preference for local and sustainable destinations was observed, reflecting a shift in tourism consumption patterns. Overall, this study provides information for tourism stakeholders in Machala, proposing that adaptation to new motivations may be key to the recovery of the tourism sector in the region. In conclusion, the change of motivations in the social representations of tourism is highlighted. The study has shown that the reasons for travel of visitors to Machala have undergone a remarkable transformation after the pandemic. In this scenario, elements such as trust, the search for genuine experiences and the need to escape from everyday life have become predominant factors.

The role that university teachers play depends largely on their emotional and physical health and well-being; with factors that define the optimal performance of their functions. This article is based on a novel approach to emotional intelligence, called “Emotional Ecology”, a model created by Ma. Mercè Conangla and Jaume Soler in 2002; who adapted the essence of environmental ecology for the management of human emotions. This work had the objective: “To present in a descriptive way, the Emotional Ecology Model (MEE), as an effective tool to achieve well-being and improve the emotional health of university teachers”. This is an academic writing, expository essay type, made with the intention of informing and objectively explaining to readers the aspects that are handled in the “Emotional Ecology” model, to be implemented in the context of university teachers; which shows particular points of view on the part of the authors, around the subject. As a most important conclusion, it is inferred after this research, that the implementation of this tool, from an alternative program, based on the principles, strategies and resources of the "Emotional Ecology Model", would be ideal for university teachers to reach an optimal level of well-being and emotional health.

Micro, Small and Medium Enterprises (MSMEs) are a fundamental part of economy as a source of employment and suppliers of goods and services. However, they do not have the same opportunities to access financing services as large firms. In this sense, Development Bank is responsible for supporting them. The aim of this research is to analyze the support of the Development Bank to MSMEs in Mexico and locally, during the economic crisis derived from the COVID-19 pandemic (2019-2021). The methodology employed in this study was qualitative, longitudinal, documentary and explanatory, data were collected through documentary and field research. This study begins with the definition of Development Bank and its the historical context in Mexico. Subsequently, the situation of MSMEs during the pandemic is analyzed, furthermore, the participation of the Development Bank with its countercyclical policy in the country and, moreover, the effect of this crisis on the smaller enterprises in a municipality in the southeast of Mexico. The results indicate that companies know the commercial bank more than the Development Bank. Additionally, services such as factoring and leasing are not used by micro and small enterprises, despite the benefits they provide for financing working capital and the acquisition of fixed asset. It is concluded that the intervention of the Development Bank in the credit market is crucial to address the failures associated with the asymmetry of information presented by MSMEs.

The general objective of this work was to analyze the impact of the environment within companies on the sense of well-being of the administrative officials of the Santa Elena Educational District.  It was theoretically based, with a basic, quantitative approach in which the survey was used as the main technique for collecting information using the questionnaires of Paúl Spector (1985) to measure satisfaction and that of Litwin and Stringer (1968) to measure the organizational climate; It had an adequate analysis to obtain the results in order to identify the impact that exists on the workers' sense of well-being and contribute internally to the improvement of processes in the institution. The specific hypotheses H3, H4, H5, H6, H7, H8 were accepted, except for H2, which is rejected as this dimension has no impact, which causes the general hypothesis H1 to be partially accepted. The results obtained show how the variables are related, although with variations in the influence of their different dimensions, which encourages the creation of improvement strategies within the Santa Elena Educational District to improve the organizational environment of the institution to thus positively affecting the sense of well-being of workers for the benefit of students.

Migration, an undeniable driver for development according to the UN's Agenda 2030, plays a pivotal role in Mexico, serving as a point of origin, transit, and destination for migrants. This article presents a detailed analysis of international migration in Mexico with a focus on its impact on economic activity. Utilizing microdata from the National Occupation and Employment Survey (ENOE) for the third quarter of 2023, comprising a sample of 150,449 households, various aspects are explored, from migrants' origins to their sociodemographic profile and geographical distribution. Furthermore, an innovative methodology from CEPAL (2023) is employed to estimate the contribution to the Gross Domestic Product by migratory origin and sector of activity of international migrants in Mexico. This approach provides a deep and updated understanding of migration in Mexico, emphasizing its significance for the national economic dynamics and its role in shaping the country's labor and business landscape. The findings offer valuable insights for policy formulation and understanding the economic implications of migration.

An investigation was carried out with the objective of identifying the trends of Cuban scientific production on some Enabling Technologies for Digital Transformation (THD) in Cuba indexed in Scopus in the period 1997-2022 and analyzing the behavior based on bibliometric indicators such as: intellectual structure, conceptual and social of them. It was carried out from the combination of said indicators and bibliometric techniques to obtain features of their behavior and the production practices of the specialized scientific community. Among the results, it was found that the annual evolution showed a linear growth both in documents and in the number of citations received, production found mainly in foreign journals and in the core area of the topic addressed. There was a coincidence in the prominent author in the co-citation network and the leader of one of the collaborative networks. The most referenced sources were: Lecture Notes in Computer Science, Information Sciences and Neurocomputing. The participation of universities and collaborations with Spain and Belgium predominated. There were most of the themes of artificial intelligence, machine learning, learning systems, human computer interaction and data mining related to health. The study highlighted the importance of contextualizing bibliometric indicators. In addition, it allowed us to compare the trends shown by Cuban scientific production with respect to the international context. Final ideas are offered on future lines of research and the importance of the results found.

The digital transformation based on artificial intelligence supports the development of communities, organizations and nations that are economically committed to the technology that enables it, however, there are many spaces that remain empty if only a non-inclusive digital transformation is committed, so This study aims to explain the relationship between solidarity technologies and digital solidarity to promote digital transformation based on artificial intelligence, based on the theory of justice, solidarity and innovation. The research is quantitative, non-experimental, transectional, explanatory, case study of the Artificial Intelligence Center – IA.Center State of Chihuahua where 180 questionnaires were applied, analyzed by partial least squares structural equation modeling (PLS-SEM), using the SmartPLS software 4. The findings reveal that solidarity technology positively and significantly impacts digital solidarity and that digital solidarity positively and significantly impacts AI digital transformation. Another finding is that digital solidarity is a mediating variable between the positive and significant relationship between solidarity technology and AI digital transformation. It was also found that the predictive power of the global model is significant. It is concluded that just as paid technology favors digital transformation, so do solidarity technologies and digital solidarity.

The continuity of the celebrations of traditional festivals, processions, sacred ceremonies, as part of the cultural identity of the yoreme mayo group, represent, in addition to resistance, the need to preserve their culture and cultural heritage, the topic addressed is main objective the identification and description of the cultural heritage around the San Miguel Arcángel ceremonial center; As a secondary objective, it is established to determine recommendations for the conservation of heritage. It shows some living cultural practices that give the sense and identity of belonging to the social group. The proposal is generated from the field research work that the researcher begins with observation visits since 2020, during different dates of festivities and sacred ceremonies. The development of the research includes the topics of: cultural heritage, types, characteristics, identity and heritage, uses and customs and community participation. The methodology applied is with a qualitative approach, ethnographic method and grounded theory, which allows the theory to be built, starting directly from the observations, also applying a way of looking back; until the findings are made. The relevance of the study is to give visibility to the cultural heritage of the ethnic group. The place of the study is San Miguel Zapotitlán, Ahome, Sinaloa, where the ceremonial center is located. As the results of the research contribute to the safeguarding of the yoreme mayo cultural heritage, it contributes to the enrichment of cultural diversity, the preservation and respect of the yoreme mayo culture.