Examinando por Autor "Pico-Saltos, Roberto"

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Career Success in University Graduates: Evidence from an Ecuadorian Study in Los Ríos Province
(MDPI, 2021-08-20) Pico-Saltos, Roberto; Bravo-Montero , Lady; Montalván-Burbano , Néstor; Garzás, Javier; Redchuk, Andrés
Career success and its evaluation in university graduates generate growing interest in the academy when evaluating the university according to its mission and social mandate. Therefore, monitoring university graduates is essential in measuring career success in the State Technical University of Quevedo (UTEQ, acronym in Spanish). In this sense, this article aims to identify the predictive career success factors through survey application, development of two mathematical functions, and Weka’s classification learning algorithms application for objective career success levels determination in UTEQ university graduates. Researchers established a methodology that considers: (i) sample and data analysis, (ii) career success variables, (iii) variables selection, (iv) mathematical functions construction, and (v) classification models. The methodology shows the integration of the objective and subjective factors by approximating linear functions, which experts validated. Therefore, career success can classify university graduates into three levels: (1) not successful, (2) moderately successful, and (3) successful. Results showed that from 548 university graduates sample, 307 are men and 241 women. In addition, Pearson correlation coefficient between Objective Career Success (OCS) and Subjective Career Success (SCS) was 0.297, reason why construction models were separately using Weka’s classification learning algorithms, which allow OCS and SCS levels classification. Between these algorithms are the following: Logistic Model Tree (LMT), J48 pruned tree, Random Forest Tree (RF), and Random Tree (RT). LMT algorithm is the best suited to the predictive objective career success factors, because it presented 76.09% of instances correctly classified, which means 417 of the 548 UTEQ university graduates correctly classified according to OCS levels. In SCS model, RF algorithm shows the best results, with 94.59% of instances correctly classified (518 university graduates). Finally, 67.1% of UTEQ university graduates are considered successful, showing compliance with the university’s mission.
Hierarchical Component Model (HCM) of Career Success and the Moderating Effect of Gender, from the Perspective of University Alumni: Multigroup Analysis and Empirical Evidence from Quevedo, Ecuador
(MDPI, 2022-12-28) Pico-Saltos, Roberto; Sabando-Vera, David; Yonfa-Medranda, Marcela; Garzás , Javier; Redchuk, Andrés
The professional success of graduates is closely linked to the value of university performance, perhaps much more so than other indicators. This study analyses the predictive and explanatory capacity of a model on the career success of university alumni in a developing country (Ecuador), which serves as empirical evidence on the subject; we examine the moderating effect of gender on the relationships between constructs in the model. We use a Hierarchical Component Model (HCM) of Partial Least Squares Structural Equations (PLS-SEM) and a permutation-based multigroup analysis for moderation. The used database comprises 444 records from a self-administered survey of graduates of the State Technical University of Quevedo (UTEQ)—Ecuador. On the findings, the model proposed has good explanatory and predictive power for career success. Objective success has a lower incidence of professional success (22% of the variance explained) than subjective success (78% of the variance explained). In none of the latent variable correlations in the model were gender differences between men and women found to be statistically significant. Finally, we also cover the study’s theoretical and practical implications.
Medición del éxito profesional a graduados de la Universidad Técnica Estatal de Quevedo-Ecuador
(2023-04-19) Pico-Saltos, Roberto; Garzás, Javier; Redchuk, Roberto; Jaramillo, Ivan Freddy
Los estudios de seguimiento a graduados de las universidades han contribuido a la medición del éxito de los egresados en los actuales escenarios laborales. El objetivo del presente estudio es analizar el seguimiento a los graduados, su desempeño profesional en el sector empresarial, además, cómo consideran el éxito de su carrera y su satisfacción en la Universidad Técnica Estatal de Quevedo-Ecuador. Se trabajó una investigación exploratoria-descriptiva, con enfoque cuantitativo, y diseño no experimental. Se aplicó un cuestionario con preguntas diseñadas según la escala Likert a 442 egresados de las diferentes carreras, de los cuales 56% corresponde al sexo masculino y 44% representa al sexo femenino. Los resultados indicaron que el 82% de los sujetos califica de excelente la formación profesional recibida. Los empleadores, opinan que el 55% está totalmente de acuerdo con los conocimientos y habilidades de los egresados que se desempeñan en el entorno laboral. Se concluye que es positivo aplicar herramientas para fortalecer el seguimiento a los graduados y su inserción laboral, beneficiando a los empleadores y la universidad, pues permite conocer la actuación de los egresados y su desempeño. Asimismo, revela buena satisfacción por parte de los empleadores en consonancia con las necesidades de la actual sociedad
Role of Alumni Program in the Prediction of Career Success in an Ecuadorian Public University
(MDPI, 2022-10-01) Pico-Saltos, Roberto; Garzás, Javier; Redchuk , Andrés; Escandón-Panchana , Paulo; Morante-Carballo , Fernando
Alumni tracking studies at the local, regional and global levels provide quality and efficiency measurement parameters in higher education institutions and project improvements in the quality of professionals. However, there is a gap between alumni tracking and the measurement of career success, influencing the academic offer of careers relevant to labor demands. This article aims to propose a model for predicting career success through the analysis, extraction and evolutionary optimization of objective and subjective variables to determine the role of alumni tracking in a higher education institution. The methodology establishes (i) an analysis of information on the alumni program and career success, (ii) prediction models of career success using genetic algorithms, (iii) validation of prediction models and (iv) the relationship between alumni tracking and career success. The results show models for predicting career success using a genetic algorithm with high certainty percentages, where the objective variables’ weight significantly influences the predictive model. However, subjective variables show importance depending on individual characteristics and their value schemes or goals of graduates. As a recommendation, universities could include a monitoring system for their graduates, which is crucial in adapting to the curriculum, especially in strategic technical and human ethical issues.