Conference Agenda

The objective of this research is to predict the level of social skills through the factors of collaborative learning in students who work with integrative projects. Likewise, the approach of the study is quantitative, descriptive-explanatory, with a non-experimental longitudinal design. The population is made up of students enrolled and participating in the project for the 2021-1 cycle, which in total are

147. The data were processed with the statistical program SPSS, excel and Netica and from the results it is concluded that the Group Processing factors and Individual Responsibility are those that have the greatest probabilistic influence on the level of Social Skill and in addition the fact of working based on integrative projects, there is a prediction that the level of social skills will be on average 16.0430 measured on a scale of 4 -twenty.

The present study evaluates the application of the P´olya Method in the learning of linear functions in students of Cycle VII of
CEBA 34048 of Surcubamba, Huancavelica, during the year 2024. A quantitative approach with a pre-experimental design was used, applying
a written test validated before and after the pedagogical intervention. The sample was made up of 30 students selected in a non-probabilistic
way. The collected data were analyzed using descriptive and inferential statistics using SPSS software, which made it possible to determine
the positive impact of the P´olya Method on the understanding and resolution of problems related to linear functions. In addition, the ethical
principles of confidentiality and informed consent were complied with. The results suggest that the P´olya Method is an effective strategy to
improve learning in this educational context.

In Systems Engineering, the subject of Operations Research requires as a basis the Construction of Linear Programming Models. The aim of this research was to find the effect of neuroeducation in the construction of these models. It was an applied study of explanatory scope, of quasi-experimental design with 60 students (control group) and 60 students (experimental group). The data collection instrument was an evaluation rubric based on the stages of the construction of the models, being validated by experts and with a Cronbach reliability of 0.8. Neurodidactic strategies were applied for the integrated activation of higher cognition devices (attention, memory, motivation, and emotion). A p value of 0.00 was obtained with Mann Whitney U, so it was concluded that the use of neuroeducation strategies was significant, obtaining a better construction of linear programming models.

In this research work, the analytical solutions with Caputo and Caputo-Fabrizio derivative in the RC electric circuit model from integer order to fractional order were analyzed, with the objective of analyzing and simulating the RC electric circuit model by means of fractional order equations, so the RC electric circuit model was analyzed by different methods of solution of fractional order differential equations and the simulation of the RC electric circuit model was performed using Wolfram Mathematica 10.4 software. The methodology of this research is framed in the descriptive-deductive. For the modeling we used the physical laws and transition from the ordinary derivative operator to the fractional operator, then for the analytical solution we analyzed by means of the special Mittag-Leffler function, Laplace transform and the inverses of some functions. Finally, for the simulation of a constant source and periodic source of the RC electric circuit model of fractional order, the Wolfram Mathematica 10.4 software was used. The most relevant result is that an analogy was established between the ordinary differential equations and the fractional differential equations by means of Caputo and Caputo-Fabrizio fractional derivatives. This allowed to analyze the behavior of the RC electric circuit.

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This article presents five techniques for constructing surfaces from planar curves. First, the bilinear surface is studied, which requires four points for its definition. By generalizing this surface, the so-called ruled surfaces are obtained, which are widely used in the aeronautical industry. Within the ruled surfaces, a particular case is the cylindrical surfaces, which are generated by moving a planar curve along a straight path. Another technique for generating surfaces consists of rotating a planar curve around an axis in space, giving rise to surfaces of revolution. Finally, the concept of Swung surfaces is introduced, a generalization of surfaces of revolution in which the curve does not rotate around a circumference, but follows an arbitrary trajectory. These concepts have been implemented in Python as a pedagogical tool for undergraduate courses, taking advantage of its accessibility and ease for the visualization of mathematical concepts. Although the article presents the theoretical foundations of each type of surface, it would be relevant to delve into the restrictions and limitations that may arise when generating them. Analyzing these challenges would allow us to develop new strategies for the construction and manipulation of surfaces, thus opening opportunities for future research and applications.