The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the virtual environment. Initially the classification analysis through the Matlab R2021a software, identified an Accuracy of 81.3%, for the Ensemble Bagged Trees algorithm. When performing the validation of the collected data, and proceeding with the obtaining of the predictive model, for the 4 classes (satisfaction levels), total precision values of 82.21%, Sensitivity of 73.40%, Specificity of 91.02% and of 90.63% Accuracy. In turn, the highest level of the area under the curve (AUC) by means of the Receiver operating characteristic (ROC) is 0.93, thus considering a sensitivity of the predictive model of 93%. The validation of these results will allow the directors of the higher institution to have a database, to be used in the process of improving the quality of the educational service in relation to teaching performance.

<span>This article aims to carry out a descriptive analysis of the performance of teachers qualified as researchers, in the distance education environment according to the student's perspective. The results will be a frame of reference for university authorities on the path of continuous improvement of virtual education. When carrying out the research, a general qualification of the teaching performance of 14.20 was determined, established the highest grade equal to 20, it can be indicated that there is a good performance of the teacher in the virtual education environment. In addition, the results show that the highest evaluation corresponds to the indicator management of the group and fulfillment of the objectives, which is directly related to the administration of the class, while the lowest rating is for the indicator "Teacher effectiveness so that their students acquire relevant knowledge, skills and attitudes”, which is directly related to the didactic strategies used, that is, to the use of technological tools that today are more than just an option. Finally, it can be noted that of the total of 17 teaching, 23.5% present a very good performance, 35.3% present a good performance and 41.2% present a regular performance.</span>

La investigación tuvo como objetivo principal determinar la relación que pueda existir entre el compromiso organizacional, la satisfacción laboral y la intención de rotación en los docentes universitarios de universidades privadas de Lima, en la especialidad de Ingeniería de Sistemas Computacionales. Con ese propósito se aplicó un cuestionario a 80 docentes de ingeniería de sistemas de tres universidades de Lima. Todos los instrumentos utilizados han sido validados y su nivel de confiabilidad asegurada en otras investigaciones nacionales e internacionales. Se empleó los datos obtenidos se elaboró una base de datos y con el software SPSS versión 25, permitió describir la percepción de los docentes sobre cada variable estudiada y sus respectivas dimensiones, también permitió realizar las pruebas estadísticas para probar si en efecto dichas variables están relacionadas. El resultado principal es la existencia de una relación significativa entre el compromiso organizacional, la satisfacción laboral y la intención de rotación desde la percepción de docentes universitarios de universidades de Lima para un nivel de significación del 5%. Además, evidenció la existencia de una relación significativa entre la satisfacción laboral y la intención de rotación, entre el compromiso organizacional y la intención de rotación, y entre el compromiso organizacional y la satisfacción laboral.

Research training promotes the development of students' research skills and competences. For this reason, the study focuses on analyzing the self-perception of the acquisition of research competences of mechanical and electrical engineering students at the National Technological University of Lima Sur, located in Peru. The purpose of determining these results is to generate a research culture in the university context, by means of policies, strategies and knowledge management mechanisms supported by the use of information and communication technologies (ICT). The research will be carried out in the year 2022, and from the methodological point of view it is descriptive and non-experimental design of transversal type. A questionnaire was designed for data collection, consisting of 12 indicators; the reliability of the data collected was assessed using Cronbach's alpha, whose value was 0.817. As there is no research training from the initial level of the curriculum plan that is aimed at enhancing the scientific and technological capabilities of the student, the results reveal that 72% failed to complete the development of scientific articles. With regard to the difficulties and/or weaknesses identified, they are centred on the low level of knowledge of quantitative or qualitative research, the concepts of techniques and instruments for data collection and discussion of results.