The objective of this article is to evaluate the effect that virtual teaching-learning generates in the evaluation of teaching performance, from the perspective of the students, of the professional mechanical engineering school. During the devel-opment of the research, it has been determined that the planning, communication and overall performance factors of the teaching performance have experienced a positive variation of 63.64%, increasing by 3.8%, when moving from the face-to-face environment to the virtual teaching-learning environment. While the didactic strategies, organization and subject mastery factors have experienced a positive variation of 59.09%, this increase represents 1.92%. Although a positive effect has been generated on teacher performance, it has been determined that, of the 6 factors, it is the Communication factor which has presented the greatest negative variation, being of the total of 22 teachers, 11 who have decreased their qualification.

This study aims to identify the most optimal supervised learning algorithm to be applied to the prediction of satisfaction of university students. In this study, the IBM SPSS - 25.0 software was used to test the reliability of the satisfaction questionnaire and the MATLAB R2021b software through the classification learner technique to determine the supervised learning algorithm. The experimental results determine a Cronbach's Alpha reliability of 0.979, in terms of the classification algorithm, it is validate d that the quadratic vector support machine (SVM) has better performance metrics, being correct in 97.8% (a ccuracy) in the predictions of satisfaction of university students, with a r ecall (sensitivity) of 96.5% and an F1 score of 0.968. Likewise, when eva luating the classification model by means of the receiver operating characteristic curve (ROC) technique, it is identified that for the three expected classes of satisfaction the value of the area under the curve (AUC) is equal to 1, in such sense the pred ictive model through the SVM Quadratic algorithm, has a high capacity to distinguish between the 3 classes ; i) d issatisfied, ii) s atisfied and iii) v ery satisfied of satisfaction of university students.

<span>This article aims to analyze the perception of the students of the professional school of business administration about the teaching performance in the virtual learning environment during the COVID-19 pandemic. When developing the research, it was determined that there is a good teaching performance, according to the perception of the students. However, it was identified that the factors of domain of the topic and class session management, present a better perception in this context of virtual learning; while the didactic strategies factor is the one that presents a not so favorable perception. In addition, through a comparative analysis, it was determined that the didactic strategies and planning factors have suffered a negative variation with respect to the perception per teacher, when moving from face-to-face to virtual learning, since, of the total of 17 specialty teachers, seven of them one negative variation. These results are validated by the linear regression test, where an R2 value of 0.965 is calculated, with respect to the didactic strategies factor. It means that this factor influences 96.5% on the perception of students with the global factor and an R2 value of 0.921 for the planning factor, which indicates an influence of 92.1%.</span>

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The objective of this article is to know the satisfaction of students with online pedagogical support services, generated by the context of distance education due to the COVID-19 pandemic, which have been provided with various technologi-cal tools. During the development of the research, it was determined that there is a satisfaction with the pedagogical support of 61.2%, being the indicators of health services and welfare university, those that present the highest satisfaction both with 62.3%, on the other hand, are the indicators registrations and license plates, and psychopedagogical services those that present a greater dissatisfaction of 32.7 and 32.2, respectively. Although the pedagogical support provided by the university must continue to be improved, a slight improvement has been deter-mined with the previous semester in which the adaptation of online services be-gan, since dissatisfaction on the part of students decreased by 9.18%.