The use of technology is changing the way things are done, including the work in universities where the teaching and learning process are changing, and it is required to know the effect of technology on student achievement. In this research work, we present the influence of Internet use on academic success of students from five universities in Ecuador. A random sample of 4,697 people was got up and categorized in two groups: the use of Internet in academic activities and entertainment, using factor analysis and cluster analysis; the resulting categories were used as independent variables in multinomial logistic regression model which are seeking to determine if the use of Internet has impacted on academic success. The results show that people who perform interactive activities with peers and teachers or use in a balanced way the different internet tools tend to have more academic success than those who only seeks information. Regarding to the use of Internet in entertainment, a positive impact was found on academic achievement. Students who download audio, video and software, and students who use all the entertainment possibilities show less likely to fail than who using minimally Internet. In terms of gender, it has different effects for entertainment and academic purposes. El uso de la tecnología provoca cambios sociales. Esto incluye el trabajo en el ámbito universitario en donde está cambiando tanto la forma de ejercer la docencia como la forma de aprender y se requiere conocer el efecto del uso de la tecnología sobre el rendimiento del alumnado. En este trabajo se investigó la incidencia del uso de Internet sobre el éxito académico del alumnado de cinco universidades de Ecuador. Se levantó una muestra aleatoria de 4.697 personas y se las categorizó en perfiles de uso de Internet para actividades académicas y para entretenimiento, utilizando análisis factorial y análisis clúster. Las categorías resultantes se utilizaron como variables independientes en modelos de regresión logística multinomial que buscaban determinar si el uso de Internet tenía incidencia sobre el éxito académico. Los resultados muestran que quienes realizan actividades interactivas con pares y profesores o quienes utilizan de forma balanceada las distintas herramientas de Internet tienden a un mayor éxito académico que aquellos que solo buscan información. En lo referente al entretenimiento, se encontró una incidencia positiva del uso de Internet sobre el éxito académico. Los estudiantes que realizan descargas de contenido de audio, video y software, y quienes utilizan todas las posibilidades de entretenimiento, presentan menor tendencia a suspender que los estudiantes que utilizan mínimamente Internet. En cuanto al género se presentan diferencias en los usos académicos y de entretenimiento.

From a technical perspective, the future of learning is defined by four axes around which technological and methodological efforts revolve. These axes are mobility, interaction, artificial intelligence and technology-based resources such as augmented reality and games applied to learning. Combining them means creating a model of mobile, interactive and intelligent scenarios that take advantage of the spaces and times available to the learner. The various technologies are already available yet used separately in different educational experiences. It is therefore crucial to combine and integrate them into didactic models wherein the learning attained by students is significant. This article discusses these technologies and proposes an integrative model that enables a framework of reference for didactic work to be established. It concludes by highlighting the need to experiment with technologies and to apply the results to teaching-learning models using alternative interaction schema, and the urgency of having intelligent tutoring systems to make tutoring available on a massive scale.

In this work, we determined, the level of incidence of the use of technologies on academic success and the incidence of interaction and experience on the level of plagiarism of university students. A sample of 10,952 students from 31 face-to-face universities in Ecuador was created. Students were classified based on their experience level, level of interaction with teachers and classmates, and the use they do with technology for academic activities. The results showed that the level of experience does not affect academic success, but does have an incidence on plagiarism levels that increase as this experience increases. Plagiarism reaches higher levels when level of experience, family income and hours of connection per day increases. Academic performance depends on the number of hours that students seek information and the number of academic videos they watch. Also, plagiarism tends to decrease as the student makes better use of technology for their academic activities.

The confinement and migration from face-to-face to open access, online or blended/hybrid education modality caused because of the coronavirus crisis has forced a readaptation of education with enormous deficiencies at all levels. This work analyzes the viewpoint of a group of students from the Universidad Técnica Particular de Loja (Ecuador) regarding the current state of emergency from a descriptive and correlational quantitative methodological conception, based on the application of an instrument made up of six thematic blocks: socio-demographic situation, use of ICT, importance of ICT, methodology, didactic techniques, and study modality. The main results show that students are not yet convinced that a virtual modality is better than face-to-face. However, there are groups that value positively the use of ICTs mainly for recalling information, self-learning, and motivation. The techniques most valued by students are the traditional ones: teacher explanation and individual work. However, they give a low value to individualization as a methodological principle under which these techniques are based.

New technologies have transformed higher education whose application has implied changes at all levels. These changes have been assimilated by the university community in various ways. Subtle differences among university students have emerged; these differences determine that the resources the network offers have been used in different ways, thus creating gaps in the university population. This study seeks to determine the level of incidence of the variable of university students’ incomes on the uses and intensity of use of the Internet tools and resources. Students were classified using factor analysis complemented through cluster analysis in order to obtain user profiles; these profiles were verified by means of discriminant analysis. Finally, chi-square was applied to determine the relationship between income level and user profiles. As a result, three profiles were identified with different levels of use and intensity of use of the Internet tools and resources, and statistically the incidence of income in the creation of those profiles was proved. To conclude, we can say that the income level falls mainly on the variables that define the access possibilities; gender has a special behavior; however, since the profile of the highest level has a double proportion for men, though women have better performance in general terms.Las tecnologías han transformado la educación superior impulsando cambios que han sido asimilados por la comunidad universitaria de distintas maneras. Como consecuencia, los estudiantes han presentado diversas formas y niveles de aprovechamiento de los recursos que nos ofrece Internet, delineándose brechas sutiles en la población universitaria. En este estudio se puntualizan algunas características de estas brechas; concretamente se analiza la incidencia de la variable ingresos del estudiante sobre los usos e intensidad de uso de las herramientas y recursos de Internet. Para lograrlo se clasificó a los estudiantes aplicando análisis factorial, complementado por análisis clúster para obtener perfiles de usuarios; estos perfiles se contrastaron con análisis discriminante y, finalmente, se aplicó chicuadrado para verificar la relación entre el nivel de ingresos y los perfiles de usuarios. Se determinaron tres perfiles con distintos niveles de las herramientas y recursos de Internet; y se comprobó estadísticamente la incidencia del nivel de ingresos en la conformación de estos perfiles. Se concluye que el nivel de ingreso incide mayormente en las variables que definen las posibilidades de acceso; el género tiene un comportamiento especial, puesto que, si bien el perfil más alto tiene el doble de proporción de hombres, las mujeres tienen un mejor desempeño en general.