Casildo Bedon, Nancy Esther

Preferred name

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nancy.casildo@upeu.edu.pe

ORCID

0000-0001-5255-7757

Scopus Author ID

59257766000

Mostrando 1 - 9 de 9

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Self-Esteem and Family Communication as Predictors of Satisfaction with Studies in University Students from the Southern Region of Peru
(2025-01-20)
Victor Canqui
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Óscar Mamani-Benito
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Ronald Castillo-Blanco
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Family and personal factors play an essential role in the satisfaction with the studies of university students. In this sense, the objective of this research was to determine if self-esteem and family communication predict satisfaction with studies in university students from the Puno Region, Peru. The methodology consisted of a cross-sectional and predictive design; 538 Peruvian university students of both sexes participated (69.1% men and 30.09% women) in 2022, whose ages ranged between 17 and 37 years (M = 20.43 and SD = 3.22). The instruments used were the Rosenberg self-esteem scale, the Olson Family Communication Scale (FCS), and the Merino Satisfaction Scale with the study. The results show that the proposed model had a good fit (X2 = 582.26, df = 224, p < .001, TLI = 941, CFI = .948, RMSEA = .055, RMR = .041), evidencing that self-esteem and family communication significantly predict (p < .001) satisfaction with the studies. In the discussion it is observed that self-esteem and family communication are significant predictors of satisfaction with studies in university students. Therefore, strategies to improve satisfaction with studies should be aimed at improving the self-esteem and communication of university students.
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Design and validation of a scale of motivation for scientific publication in Peruvian university professors (MoSCPU-UP)
(2024-09-05)
Renzo Felipe Carranza Esteban
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Óscar Mamani-Benito
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Isabel Cabrera-Orosco
The study’s objective was to design and validate a motivation scale for scientific publication in Peruvian university professors (MoSCPU-UP). Instrumental research where a scale of 13 items distributed in 2 factors (Intentional State and Commitment-will) was designed and validated. The sample comprised 546 university professors (62.1% male) aged 22 to 67 ( M = 45.05 and DS = 9.32). The sample was separated into two subgroups for the exploratory and confirmatory factor analysis. For analyzing the validity of evidence based on the content, the Aiken V coefficient was used; for construct validity, exploratory and confirmatory factor analysis was used. Reliability was studied through Cronbach’s alpha coefficient. The results show that the items received a favorable evaluation (Aiken’s V &gt; 0.70). Goodness of fit indices were adequate (IFC = 0.93, TLI = 0.92, and RMSEA = 0.08). Likewise, the correlation between factors 1 and 2 was significant ( p &lt; 0.05). Evidence of validity based on the relationship with other variables with measures of professional self-efficacy is significant and acceptable reliability ( α = 0.91; 95% CI = 0.89–0.92). In conclusion, the MoSCPU-UP scale is an instrument that reports evidence of validity and reliability.
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Self-efficacy and academic commitment as predictors of digital skills in peruvian university students
(2025-07-14)
Roel Dante Gómez Apaza
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Marleny Huanca Galindo
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Digital skills are essential for university students' academic and professional development as they face an increasingly digitalized environment. These skills have become an essential requirement in the educational and labor fields. The study aimed to determine how self-efficacy and academic engagement predict the digital competencies of university students. Using a quantitative approach, the Academic Self-Efficacy Scale and the Utrecht Work Engagement Scale-Student were applied; the sample consisted of 650 university students between 18 and 50 years of age, and a structural equation model analysis was conducted. The results confirmed that academic self-efficacy and engagement are significantly related to digital competencies. However, self-efficacy had a more substantial influence (β = .51, ρ < .001) than engagement (β = .08, ρ < .05). In addition, the resulting model presented adequate adjustment indices χ2 (153) = 13007.9, ρ<.001. CFI = 1.00, RMSEA = .000, SRMR = .030, allowing the acceptance of the study hypothesis. In conclusion, self-efficacy and engagement predict, on average, 26.65% of the variability of digital competencies. This finding suggests that university decision-makers should consider these factors when designing educational strategies that adapt to the needs of a digitally advanced academic environment and expand the processes of digital competencies.
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Arquitectura multi-tenant para la implementación de un software como servicio y su influencia en la usabilidad de las MYPES del sector comercio del nororiente Peruano
(2024-05-01)
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Johann James Valles Paz
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Hitler Collantes Chulés
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Jeison Elí Sánchez Calle
CEATECSOFT E.I.R.L enfrenta un desafío que requiere una evaluación. A través del análisis de actores involucrados en la organización, se ha detectado una disminución en la rentabilidad económica. Esta situación está vinculada a diversos factores, como los costos laborales y las horas extras del personal técnico, la facturación de licencias y los gastos asociados con las actualizaciones del sistema de escritorio. El objetivo de esta investigación fue determinar en qué medida la implementación de la arquitectura multi-tenant en un software como servicio (SaaS) incrementa su usabilidad en las MYPES del sector comercio del Nor Oriente del Perú. Para ello, se realizó una investigación pre-experimental con una muestra de 32 MYPES a quienes se les aplicó un cuestionario para medir el grado de usabilidad del software puesto en producción. En promedio, el 92 % de los encuestados reconoció mejoras en la solución propuesta, lo que marca una gran diferencia entre el pre y pos-test. En conclusión, el software como servicio (SaaS) desarrollado bajo la arquitectura multi-tenant ha aumentado la usabilidad del sistema implementado, generando beneficios significativos en términos de rentabilidad para la empresa CEATECSOFT E.I.R.L.
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Propiedades psicométricas del cuestionario de competencias digitales en estudiantes universitarios peruanos
(2023-01-31)
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Diana L. Sánchez-Torpoco
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Renzo Felipe Carranza Esteban
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Óscar Mamani-Benito
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<span>Con el auge de la transformación digital, la educación tradicional ha sufrido cambios significativos; en la educación superior es necesario desarrollar competencias digitales básicas para garantizar la continuidad académica. La investigación tiene por objetivo analizar las propiedades psicométricas de un cuestionario de competencias digitales en estudiantes universitarios peruanos. Se realizó un estudio cuantitativo de diseño instrumental donde participaron 1212 universitarios cuyas edades oscilaban entre 16 y 25 años. Se realizó una validación por juicio de expertos, un análisis factorial exploratorio y confirmatorio. Los ítems recibieron una valoración satisfactoria de los expertos (coeficiente V de Aiken &gt; 0,70). Se confirmó la estructura original del cuestionario (42 ítems distribuidos en 5 factores latentes), reportando índices de bondad de ajuste aceptables; asimismo, presenta adecuada consistencia interna (α &gt; 0.80). El cuestionario de competencias digitales es un instrumento válido y confiable y puede ser utilizado para fines de investigación en estudiantes universitarios peruanos.</span>
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Modelo ágil de gestión basado en analítica de procesos para la comercialización de productos acuícolas
(2025-10-03)
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La investigación aborda las limitaciones en eficiencia, trazabilidad y análisis de desempeño en la comercialización de productos acuícolas en pequeñas empresas. Con el objetivo de optimizar estas actividades, se propone un modelo ágil de gestión basado en analítica de procesos. El estudio aplicó una metodología cuantitativa de diseño pre-experimental, empleando herramientas de Six Sigma y Business Process Management (BPM) . La implementación permitió mejorar indicadores clave como el tiempo de respuesta, la precisión en los registros y el control de trazabilidad, además de fortalecer la capacidad analítica para la toma de decisiones. Los resultados evidencian una mejora significativa en la eficiencia global, demostrando que el modelo propuesto es una alternativa efectiva para enfrentar los desafíos operativos y analíticos del sector acuícola.
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Prioritization of Incident Management Process using ITIL-Fuzzy for Informatics Development Sector of Private Universities
(2025-03-31)
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Lidia Alessandra Olano Garces
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Influence of a chatbot based on a conversational agent on the adaptability of first-year students of a Peruvian private university
(2024-11-13)
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Christopher Andrew Dobson Navarro
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Yngue Elizabeth Ramírez Pezo
Objective This study aims to evaluate the influence of using a chatbot-based conversational agent, named ODAbot, on the adaptability of first-year students at a private university in Peru. Methods The design of this study was pre-experimental with a quantitative approach. The sample consisted of 53 university students who participated in the research during March and April 2024. Participants completed pre-test and post-test questionnaires to assess their adaptability to university life before and after interacting with ODAbot. Additionally, a user experience questionnaire was used to measure satisfaction with the chatbot interaction. Data were analyzed using the Wilcoxon test to determine the statistical significance of the results. Results The results showed that the use of ODAbot had a significant impact on students’ adaptability, especially in the social dimension ( p = 0.000), while no significant differences were found in the institutional dimension ( p = 0.124). The user experience was positive, with students reporting ease of navigation and understanding of the responses provided by the chatbot. Conclusion A notable improvement was recorded in the social dimension, promoting peer integration, as well as in the academic dimension, where students expressed greater satisfaction with the information provided. However, no significant differences were observed in the institutional dimension. Overall, the implementation of chatbots presents a promising opportunity to improve the adaptability of university students and ensure a quality educational experience.
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Application of artificial intelligence to measure attention levels in university students
(2026-02-02)
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Roberto Carlos Flores Ramirez
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Jhon Marcos Luna Villanueva
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Yngue Elizabeth Ramírez Pezo
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Objective To evaluate the effect of an AI-assisted attentional monitoring system on the perception of class dynamism and the self-assessment of attention among university students. Methods A quasi-experimental design was employed with 160 students divided into an experimental group, which attended classes with attentional monitoring and real-time feedback provided to the teacher, and a control group, which received traditional instruction. Perception of attention and dynamism was assessed pre- and post-intervention using the AIDA questionnaire. Results The experimental group exhibited significant increases in perceived class dynamism and attentional self-regulation compared to the control group ( p &lt; 0.05), demonstrating improved engagement during the session. Conclusion AI-assisted immediate feedback was associated with enhanced attention and student participation, highlighting the potential of such tools to support and strengthen teaching dynamics in in-person educational settings.

Casildo Bedon, Nancy Esther

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