Este estudio evalúa los factores que afectan la satisfacción del estudiante universitario sobre el modelo de aprendizaje del Aula Invertida, sus potencialidades y limitaciones. La investigación se realizó en el Instituto Tecnológico Superior del Perú con un estudio de caso que combina aspectos cuantitativos y cualitativos. Se realizó una entrevista semiestructurada a 12 profesores de cursos de formación básica y un cuestionario a 442 estudiantes matriculados en cursos básicos. Los datos cuantitativos se analizaron con base en la técnica de Análisis de Componentes Principales y su versión Varimax, Análisis de Contenido para analizar los datos cualitativos a través del software NVIVO. Este estudio encontró que el modelo es potencialmente beneficioso, ya que impulsaría los resultados de aprendizaje entre los estudiantes. Además, se sugiere que el personal involucrado en este modelo de enseñanza refuerce sus competencias para un mejor dominio con el fin de fortalecer el desarrollo profesional de sus estudiantes.

This study aimed to analyze the observed variations in the research competencies of first-year nursing students following the implementation of a pedagogical problem-solving strategy based on Polya’s method and integrated with STEM technological resources. The study was conducted within the context of higher education, where strengthening research skills in the early stages of academic training continues to represent a formative challenge. A pre-experimental pretest–posttest design with a single group was employed, involving 69 students enrolled in an introductory research course. The intervention was implemented over 16 weeks and structured according to the four phases of Polya’s method—understanding the problem, planning, execution, and review—while also integrating the use of a STEM educational kit and visual programming tools. The results showed descriptive increases across all evaluated dimensions. The overall mean score increased between the pretest and posttest, revealing statistically significant differences in research competencies (p < 0.001) and a large effect size (r = 0.896). Likewise, significant differences were identified in the dimensions related to research background and objectives, development of research activities, and evaluation of results. In contrast, the dimension concerning problem identification and formulation did not show statistically significant differences, suggesting that this competency may require longer formative processes and greater academic support. Although the results suggest favorable associations between the implemented strategy and the observed variations in research competencies, these findings should be interpreted with caution due to the limitations inherent to the pre-experimental design employed. In this sense, the study provides preliminary evidence regarding the pedagogical potential of integrating problem-solving and STEM technological resources to promote the early development of research competencies in university students in the health sciences.

This study aimed to examine how intrinsic and extrinsic motivation, along with the use of and exposure to generative artificial intelligence (GenAI), influence the educational benefits perceived by students in disciplines linked to digital creativity and visual communication, namely graphic design, advertising, and multimedia. A quantitative, correlational and non-experimental design was used. The data was collected online during the 2024 academic year through a validated survey administered to 203 college students selected by convenience sampling. An instrument based on and adapted from previous studies was used to measure intrinsic and extrinsic motivation, perceived benefits, and creative use of GenAI tools. The answers were collected with a five-item Likert scale. The relationships between the variables were analyzed with the partial least squares structural equation modeling (PLS-SEM) procedure using the SmartPLS 4. The results indicate that both intrinsic and extrinsic motivation positively influence perceived benefits. These findings highlight the educational impact of GenAI on creative disciplines and highlight the need for academic programs and education policy directors to promote its responsible adoption, ensuring that students gain the skills and confidence to use these technologies effectively.