Smart System Model for the Recruitment of Teachers

Auccahuasi W.; Herrera L.; Rojas K.; Meza S.; Ovalle C.; Plasencia I.; Loza A.B.; Revilla J.F.; Peña P.F.; Osorio Y.M.; Fuentes A.; Urbano K. · CEUR Workshop Proceedings (2022)

Resumen

Times change, for many reasons, due to technological development, new ways of doing things and in some cases forced by a global condition, is the case of the present case, where we analyze the teacher selection processes, although many of the Academic activities are developed at a distance, the selection processes also accompany this model, in this process factors that must be presented according to the profile required by the institution are analyzed, in this work a technique is proposed to be able to classify the best candidates in a Teacher selection process, the methodology consists of analyzing three groups of characteristics that the candidates must present, such as the writing exercises, the group interview and finally a demonstration class, in each of them particular criteria are evaluated, a demonstrative example It is presented as a demonstration, where it can be conditioned according to the criteria of each ins As a result, we have a computational model based on neural networks, where the best candidates can be pre-selected or classified in a teacher selection process, the prototype can be scaled and used in different sectors.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad ESAN; Universidad Científica del Sur; Universidad de San Martín de Porres; Universidad Tecnológica del Perú; Universidad Continental; Universidad Nacional José Faustino Sánchez Carrión; Universidad César Vallejo; Universidad Autónoma de Ica; Universidad Privada del Norte