Minerva

Digital marketing in higher education

Jose Arturo Asanza Choez — 2024-06-01

Digital marketing is undoubtedly a source of technological learning, proving invaluable in universities. The purpose of this work was to explore the incorporation of digital marketing in higher education programs. A quantitative methodology was employed to establish the strategies implemented by the teachers, considering a population of 100 students and four teachers who are experts in digital marketing. Among the main results is that virtual classes have enabled students to enhance their innovative skills, meeting the academic requirements set by the teachers. Therefore, it can be concluded that using technology in a marketing career significantly influences the development of skills and knowledge for future career success.

Obtaining and characterization of biodiesel by transesterification from sunflower oil

Jenniffer Alexandra Agila Tufino — 2024-06-01

The present work proposes the process for obtaining biodiesel from the transesterification of commercial sunflower oil. Characterization of the oil was carried out considering the acidity index, the peroxide index, the humidity, and the density, using the test method established by the Ecuadorian Technical Standard. To obtain biodiesel, the oil was transesterified, a process in which a triglyceride reacted with an alcohol to form esters and glycerol. The biodiesel obtained was characterized according to ASTM and EN standards. Parameters such as density, kinematic viscosity, humidity, and acid number were analyzed at 30 min, 45 min, and 60 min. It is concluded that sunflower oil is a good alternative for obtaining biodiesel, being within the established international standards.

Use of GeoGebra as a didactic resource for the solution of linear ordinary differential equations

Edisson Lascano — 2024-06-01

The objective of this work was to statistically test whether the free software GeoGebra is useful as a didactic tool to facilitate the teaching-learning process of linear ordinary differential equations (ODE). For this purpose, we worked with a group of engineering students who, in the first instance, were taught traditionally, while in the second phase, GeoGebra was used as a didactic support tool to improve understanding and facilitate the solution of these equations. The grades obtained by the students in each stage of the process were used to perform the Wilcoxon nonparametric test for two related samples applying the free software R, which showed that the didactic strategy implemented allowed the students to achieve a better understanding of the basic theory of linear ODEs.

Collaborative work as a pedagogical strategy to favor the school coexistence of children

Veronica Rocio Garcia Vera — 2024-06-07

This study aimed to promote collaborative work as a pedagogical strategy to foster school coexistence in a group of three-year-old children. A mixed methodology was employed, with a pre-experimental longitudinal design of 36 children. An observation sheet was applied before and after
implementing the pedagogical strategy over five weeks. The results were analyzed through statistical techniques, using the T-Student hypothesis test processed in the statistical software SPSS version 0.25. The main findings reveal statistically significant differences in school coexistence when comparing the means of pre-experimentation (M=52.08) and post-experimentation (M=59.36). It can be asserted that the work positively impacted the children's school coexistence, improving their social and cognitive skills. It is recommended to continue exploring collaborative approaches to promote harmonious environments from the early stages.

Determinant factors of non-attendance to medical Appointments: a mixed-methods approach

Wilson Francisco Zambrano Jimenez — 2024-07-08

This study analyzes the determinant factors of non-attendance to medical appointments through a mixed-methods approach. A survey was conducted with 200 patients, supplemented by semi-structured interviews to delve deeper into the reasons behind absenteeism. The logistic regression analysis results showed that transportation problems and long waiting times for appointments are the main factors influencing non-attendance. Variables such as age, gender, forgetting the appointment, work-related reasons, dissatisfaction with medical care, improvement in health status, and education level were not significant predictors. The study's limitations include the small sample size and the lack of consideration of patients by treatment type. Future research should focus on increasing the sample size and conducting longitudinal studies to evaluate the effectiveness of specific interventions.