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Impacto del aula invertida como estrategia didáctica utilizando CADESIMU en automatización y control

Impact of the flipped classroom as a teaching strategy using CADESIMU in automation and control

= ¹	Wilson Edu= ardo Yuquilema Tene	https://orcid.org/0000-0002-1219-1196
	Maestría en pedago= gía, Universidad Bolivariana del Ecuador Guayaquil, Ecuador.= wilsonyuquilema@hotmail.com
= ²	Felipe Antonio Muńoz Zea=	https://orcid.org/0009-0002-2596-9072
	Maestría en pedago= gía, Universidad Bolivariana del Ecuador Guayaquil, Ecuador.= lcdofelipaou@yahoo.es
3	Luis Efraín Velastegui López = https://orcid.org/0000-0002-7353-5853 Universidad Bolivariana del Ecuador, Guayaquil, Ecuador. evelasteguil@ube.edu.ec
4	Ramon Guzmán Hernández= https://orcid.org/0000-0002-2112-1421 Universidad Bolivariana del Ecuador Guayaquil, Ecuador. rguzman@bolivariano.edu.ec

	Artículo de Investigación Científica y Tecnológica Enviado: 22/03/2024 Revisado: 18/04/2024 Aceptado: 24/05/2024 Publicado:05/06/2024 DOI: https://doi.org/10.33262/ap.v6i2.2.489
<= span style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New Roman",= serif; mso-fareast-font-family:Calibri;color:blue'>
Cítese:		Yuquilema Tene, W. E., Muńoz Zea, F. A., Velastegui López , L. E., & Guzmán Hernández, R. (2024). Impacto del aula invertida como estrategia didáctica utilizando CADESIMU en automatización y control. AlfaPublicaciones, 6(2.2= ), 68–88. https://doi.org= /10.33262/ap.v6i2.2.489
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Palabras claves: Aula invertida, CADESIMU, rendimiento académico, TIC.		Resumen = Introducción: El presente artículo aborda un estudio sobre el impacto del aula invertida como estrategia didáctica utilizando el simulador didáctico CADESIMU, en el proceso de enseńanza en educación y formación técnica profesional (EFTP), en el módulo formativo de automatización y control. Actualmente los principales problemas qu= e se presentan en el entorno educativo son la falta de interés y la desmotivac= ión de los estudiantes dentro de las aulas, lo que influye en su rendimiento académico. Uno de los modelos más utilizado en los últimos ańos es el "A= ula Invertida" esta estrategia didáctica mejora el rendimie= nto de los estudiantes desde el punto de vista del desarrollo de competencias= . El simulador CADESIMU promueve la motivación de los estudiantes para apre= nder a diseńar y simular el funcionamiento de circuitos de automatización y co= ntrol. Es una herramienta innovadora que ha contribuido a la promoción del aprendizaje académico. Objetivo: Comparar el rendimiento académico y la satisfacción de los estudiantes que participan en el model= o de aula invertida apoyada con el simulador CADESIMU con aquellos que reciben= la enseńanza tradicional. Metodología: La investigación se realizó mediante el enfoque cuantitativo y descriptivo se llevó a cabo a través de un diseńo cuasi experimental de corte transversa= l se realizó en el colegio fiscal de bachillerato Simón Bolívar en la figura profesional de mecatrónica se seleccionaron dos grupos de 26 estudiantes = de tercer ańo de bachillerato técnico, un grupo recibió la enseńanza tradicional, mientras que al otro grupo se aplicó la estrategia didáctica= de aula invertida, y el simulador educativo CADESIMU. La intervenc= ión se realizó en tres sesiones pedagógicas con cuestionarios pretest y post = test respectivamente. Se recopilaron datos antes y después de la implementación para comparar los resultados. Resultados: Los resultados mostraron que la implementación de la estrategia de aula inver= tida ayudó a mejorar el rendimiento académico reflejado en el análisis post te= st. Conclusiones: El uso del = aula invertida con el simulador CADESIMU mejora significativamente el nivel de aprendizaje de automatización y control para estudiantes = de Mecatrónica. Área de estudio general: Mecat= rónica. Área de estudio específica: Sistemas de automatización y control.<= /span>
Keywords: Flipped classr= oom, CADESIMU, academic performance, TIC.		Abstr= act = Introduction: This article addresses a study on the impact of the flipped classroom as a teaching strategy using the CADESIMU teaching simulator, in the teaching process in technical vocational education and training (TVET), in the automation and control training module. Currently, the main problems that arise in the educational environment are the lack of interest and demotivation of students in the classrooms, which influences their academ= ic performance. One of the most used models in recent years is the "Fli= pped Classroom", this teaching strategy improves student performance from= the point of view of skills development. The CADESIMU simulator promotes the motivation of students to learn to design and simulate the operation of a= utomation and control circuits. It is an innovative tool that has contributed to the promotion of academic learning. Objective: Compare the academic performance and satisfaction of students who participate in the flipped classroom model supported by the CADESIMU simulator with those who receive traditional teaching. Methodology: The research was conducted usin= g a quantitative and descriptive approach, it was conducted through a cross-sectional quasi-experimental design, it was conducted at the Simón Bolívar high school fiscal school in the professional figure of mechatron= ics, two groups of 26 students were selected. third year of technical high sch= ool, one group received traditional teaching, while the flipped classroom teac= hing strategy and the CADESIMU educational simulator were applied to the other group. The intervention was conducted in three pedagogical sessions with questionnaires (Pretest) and (Posttest) respectively. Data were collected before and after implementation to compare results. Results: The results showed that the implementation of the flipped classroom strategy helped improve academic performance reflected in the post-test analysis. = Conclusions: The use of the inverted classroom with the CADESIMU simulator significant= ly improves the level of automation and control learning for Mechatronics students. General study area: Mechatronics. Specific study area: Automati= on and control systems.

Introducción

Actualmente, u= no de los principales problemas que se presentan en el entorno educativo es la falta de interés y la desmotivación de los estudiantes en las clases, lo que influye en su rendimiento académico debido a la falta de atención en el aul= a. Es fundamental que los educadores estén en constante formación sobre nuevas estrategias para atraer la atención de los estudiantes y hacerlos participa= r en el proceso de enseńanza-aprendizaje.

Los avances tecnológicos han tenido un impacto significat= ivo en el proceso de enseńanza- aprendizaje, transformando la forma en que se aprende y se enseńa, y cómo se interactúa con el mundo. El uso de las tecnologías de la información y comunicación (TIC) plantean desa= fíos a las instituciones educativas para que actualicen los modelos pedagógicos y las estrategias didácticas, con la finalidad de mejorar la asimilación del conocimiento y el desarrollo de las habilidades en el estudiantado (Akyuz, = 2018; Boz & Adnan, 2017; Salas-Rueda & Lugo-García, 2019; Samaniego et al., 2015).

Uno de los modelos más utilizado en los últimos ańos es el "Aula Invertida&qu= ot;, según= Sosa et al. (2021), desde una perspectiva académica, el aula invertida mejora el rendimiento de los estudiantes desde el punto de vista del desarrollo de competencias.

Según expresan Matute & Melero (2016), el simulador promueve la motivación de los estudiantes para aprender y les per= mite pasar de ser receptores pasivos a constructores activos del conocimiento, asumiendo roles con mayor autonomía, volviéndolos activos y experienciales.= Es una herramienta innovadora que ha contribuido a la promoción del aprendizaje académico.

La aplicación de la simulación como estrategia didáctica es muy importante en = el contexto de la educación y formación técnica profesional (EFTP), El presente artículo de investigación tiene como objeto analizar los procesos = de enseńanza impartidas en el módulo formativo de sistemas de automatización y control a través de la implementación del aula invertida como estrategia de aprendizaje apoyada mediante un simulador didáctico CADESIMU. Con la finali= dad de fortalecer el rendimiento académico y la motivación de los estudiantes <= /span>tercer ańo del bachillerato técnico en el área industrial de la figura profesional= de Mecatrónica en el módulo de sistemas de automatización y control en el Colegio Fiscal de Bachillerato Simón Bolívar de la ciudad de Guayaquil. La pregunta de investigación es: żCómo <= span style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New Roman",se= rif'>impacta el aula invertida como estrategia didáctica utilizando el simulador CADESIM= U en el rendimiento académico y la motivación de los estudiantes, en el módulo de Sistemas de automatización y control? El objetivo d= e la investigación es Comparar el rendimiento académico y la satisfac= ción de los estudiantes que participan en el modelo de aula invertida apoyada co= n el simulador CADESIMU con aquellos que reciben la enseńanza tradicional. =

La justificación de este enfoque se fundamenta en la necesidad de adaptar la educación a las demandas del siglo XXI, donde la tecnología de la comunicac= ión y la información (TIC) están más presentes que nunca en la vida cotidiana de los estudiantes. Además, diversos estudios han evidenciado los beneficios d= el modelo de aula invertida. Por ejemplo: Sandobal et al. (2021= ), dest= acan que este enfoque promueve una mayor participación de los estudiantes, un aprendizaje personalizado y el desarrollo de habilidades críticas. Aguayo et al. (2019), también resaltan que el aula invertida integra la instrucción directa a través de videos y simuladores con estrategias constructivistas, = lo que favorece una mejor comprensión y compromiso por parte de los estudiante= s.

Aula = invertida

Por su parte Bergmann & Sams (2012), popularizaron el modelo llam= ado aula invertida y se popularizó en la educación. El eje principal del modelo de aula invertida es el estudiante. Por otro lado, el = educador debe seleccionar el tema y determinar l= os contenidos que se impartirán bajo su supervisión y los contenidos que los estudiantes pueden trabajar. Según Falcón et al. (2020), las nuevas técnicas de enseńanza y aprendizaje, como el aula invertida, están generando una gran transformación en la dinámica que se utiliza para crear experiencias curriculares. Se pasa de un educador experto en todo, confiand= o en los estudiantes, a un educador que actúa como orientador, facilitador y mediador del aprendizaje, considerando al estudiante como el centro del proceso, creando experiencias retadoras y supervisando sus actividades de estudio.

Según Guillén et al. (2020), el aula invertida implica realizar las tareas fuera = de clase utilizando diversos materiales, a través de las TIC creadas y proporcionadas por el educador. El tiempo restante se utiliza para resolver problemas, discutir, profundizar en lo que se ha creado y formular desafíos para resolver. De acuerdo con Chica (2016), plantea los dife= rentes tipos de aula invertida:

v&nb= sp; Aula invertida estándar o tradicional: Es un procedimiento que es bastante similar al de la enseńanza tradicional. Los estudiantes reciben videos y materiales para ver y leer con el fin de prepararse para la clase del día siguiente, que incluye una "tarea&quo= t;. Los estudiantes aplican lo que han aprendido durante la clase mientras el educador tiene tiempo para sesiones individuales o presta un poco más de atención a los que lo necesitan.

v= Aula invertida orientada al debate: Los videos y contenido personalizado introducen a los estudiantes al tema en ca= sa. Los estudiantes participan en discusiones sobre el tema durante la clase y aportan diferentes puntos de vista sobre el tema. Este es un debate más relajado que un debate formal, lo que los ayuda a comprender mejor el tema.=

v= Aula invertida orientada a la experimentación: Los vídeos sirven c= omo referencia para recordar y repetir aprendizajes, que posteriormente podrán replicar los estudiantes.

v= Aula invertida de demostración o como aproximación: El educador proporciona un video que graba la ejecución de una actividad paso a paso, permitiendo que los estudiantes aprendan el material a su propio ritm= o. Se usa para actividades en las que los estudiantes deben desarrollar una práctica.

v= Aula invertida grupal o basada en grupos: Este = tipo de aula invertida presenta videos en la clase y los estudiantes deben formar equipos para trabajar en los contenidos. Los estudiantes deben comprender b= ien el tema para explicar a sus compańeros.

v= Aula invertida virtual: En algunas carreras, la clase invertida puede eliminar la necesidad de clases presenciales, por lo que los educadores comparten material en video con los estudiantes y asignan y reci= ben trabajos a través de plataformas en línea de gestión del aprendizaje. Las únicas interacciones presenciales entre ellos se llevan a cabo en sesiones = de reforzamiento individuales previamente programadas, que se adaptan a las necesidades específicas de los estudiantes.

v Aula invertida en la que se invierte al educador: El estudiante asume el papel de instructor. Este modelo requiere que los estudiantes graben sus propios videos para demostrar su dominio y nuevas habilidades.

Caracterizació= n del aula invertida. En la metodología del aula invertida podemos identificar 4 pilares fundamental= es, como expresan López et al. (2020):

v&nb= sp; 1. Entorno flexible o ambiente educativo adaptable: Los educadores brindan a los estudiantes espacios adaptables donde pueden elegir cuándo y dónde aprender, lo que les da mayor flexibilidad a sus expectativa= s en el ritmo de aprendizaje. Se utilizan diversas fuentes, como audio, video y texto. El ritmo de trabajo es variado y se adapta a cada estudiante o grupo= de trabajo.

v&nb= sp; 2. Fomento de la Cultura de aprendizaje: El modelo de aprendizaje aula invertida cambia deliberadamente la instrucción hacia un enfoque centrado e= n el estudiante. Esto significa que más tiempo de clase se dedica a explorar los temas con mayor profundidad y crear más oportunidades de aprendizaje. Los estudiantes pueden aprender continuamente y repasar contenidos a su propio ritmo en cualquier momento. Una vez en clase, pueden profundizar en los tem= as e intercambiar ideas y puntos de vista.

v&nb= sp; 3. Selección del contenido: Para maximizar el tiempo que = se comparte en clase, el educador debe seleccionar intencionalmente el conteni= do para que se utilice en varios métodos de aprendizaje cooperativo, como el aprendizaje por pares el aprender haciendo, entre otros. =

v 4. Educador profesional y motivador= : Los educadores profesionales vigilan constantemente a sus estudiantes y les proporciona retroalimentación y realiza evaluaciones de sus trabajos. Toda metodología innovadora requiere un educador motivado y motivador que sepa trabajar de forma autónoma, aceptar los desafíos intelectuales que surjan e= n la práctica y esté dispuesto a implementar nuevas ideas.

Simuladores

De acuerdo con Matute & Melero (2016), los simuladores son herramientas innovadoras que han contribuido al mejorar el aprendizaje vivencial y activo. Estos mecanismos motivan al estudiante a aprender, desarrollar sus habilidades y conocimientos, asumiendo un papel q= ue muda de receptor pasivo a constructor activo de su propio conocimiento, logrando una mayor autonomía en los procesos de enseńanza y aprendizaje.

Tipos de simuladores

Desde el punto de vista de García-Chontal et al. (2023), = los simuladores de Ensamble y de rastreo de paquetes se benefician como estrate= gias de aprendizaje simuladas que respaldan estrategias de aprendizaje y rendimi= ento académico, que apoyan el desempeńo de los estudiantes cuando estén recibien= do formación en el campo de la información.

żQué realiza el simulador CADESIMU?<= /span>

Como expresan Rojas & Gutiérrez (2020), el u= so correcto del software simulador en la educación tecnológica es actualmente = una herramienta fundamental y necesaria para el éxito pedagógico en la mayor pa= rte del mundo, El simulador didáctico CADESIMU permite diseńar circuitos de automatización empleados en las industrias. Además, realiza la simulación d= el funcionamiento del circuito.

Figura 1

Circuito de control y fuerza con el simulador CADESIMU

Funcionamiento: Al accionar el pulsador S1, se act= iva el contactor K1 y la luz piloto H1 haciendo que el motor M1 funcione en sen= tido horario, es decir, girando a la derecha. Para que se detenga la marcha del motor se debe accionar el pulsador S0. Al accionar el pulsador S2, se activ= a el contactor K2 y la luz piloto H2 haciendo que el motor M1 funcione en sentid= o anti-horario, es decir, girando a la izquierda. Para que se detenga la marcha del motor se debe accionar el pulsador S0.

Figura 2

Simulación de Inversión de giro de un motor trifásico

Estrategias didácticas

Como afirman Parra (2010), el término "estrategias didácticas" = se refiere a las acciones que realizan los educadores y los estudiantes durant= e el proceso de aprendizaje. Incluye recursos, actividades, métodos y técnicas p= ara lograr los objetivos de aprendizaje. También se conocen como estrategias de mediación pedagógica, métodos de enseńanza o actividades didácticas porque ayudan a los estudiantes a desarrollar sus habilidades cognitivas.

El término "estrategias didácticas" se refiere a dos aspectos: estrategias de aprendizaje y estrategias de enseńanza. Las primeras consisten en un conjun= to de pasos o habilidades que un estudiante adquiere deliberadamente para apre= nder significativamente y solucionar problemas y demandas académicas. Además, se= gún Díaz (1999), las estrategias de enseńanza son todas las herramientas que un educador proporciona para ayudar a los estudiantes a procesar más información.

Automatización y control

Como definen Andy & Guanoluisa (2021), la automatización es un componente del avance industrial que tuvo lugar durant= e lo que ahora se conoce como la segunda innovación industrial. El uso generaliz= ado de técnicas de control y medición distribuidas ha llevado a una evolución e= n el campo de la ciencia del control automatizado.

Metodología

La investigación se realizó mediante el enfoque cuantitativo y descriptivo se llevó a cabo a través de un diseńo cuasi experimental de corte transversal = en el que se seleccionaron dos grupos de estudiantes de Mecatrónica, un grupo recibió la enseńanza tradicional, mientras que al otro grupo se aplicó la estrategia didáctica de aula invertida, y el simulador educativo industrial CADESIMU. Se recopilaron datos antes y después de la implementación para comparar los resultados.

El nivel = de aprendizaje fue evaluado con un pretest y un post test según una escala de 5 alternativas: alto, medio alto, medio, medio bajo y bajo con puntajes que v= an del 1 al 5 siendo el 1 el bajo y el 5 el alto; Para la evaluación de la satisfacción se aplicó la siguiente tabla Alto (9-10); Medio Alto (7-8); Me= dio (5-6); Medio Bajo (3-4); Bajo (1-2). El estudio se realizó en el colegio fiscal de bachillerato Simón Bolívar en la figura profesional de mecatrónica en el módulo formativo sistemas de automa= tización y control, con una población de 52 estudiantes. Según expresa Vent= ura-León (2017), “el conjunto de elementos con ciertas características que se pretende estudiar se llama la población”. Para los cuales, serán extensivas las conclusiones de la investigación, quedando limitada por el problema y por los objetivos de estudio. Por otra parte, según Ventura-León (201= 7), “en una investigación, la población se constituye de todos los componentes (Personas, artículos, organismos, historias clínicas) que participan en el fenómeno que fue establecido y delimitado durante el análisis del problema investigativo”. La cual, se consideró como muestra de estudio por ser finita y de pocos estudiantes. Para = el autor Condori-Ojeda (2020), “la muestra es la parte representativa de la población, poseyendo las mismas características generales”. Los estudiantes cursaban el tercer ańo de bachillerato técnico, se conformó dos grupos de 26 estudiantes donde un gru= po se denominó grupo control y, el otro grupo como experimental, en el cual, se aplicó el aula invertida como estrategia didáctica utilizando el simulador CADESIMU en automatización y control, recibió la intervención educativa.

La técnica de investigación aplicada es la encuesta, con el instrumento de cuestionarios que se aplicó a los estudiantes antes (pretest) y después de = la clase (post test); la intervención se realizó en tres sesiones pedagógicas aplicando la estrategia didáctica de aula invertida apoyada con el simulador CADESIMU, para lo cual, se elaboró tres cuestionar= ios con cinco preguntas cada uno para ser aplicados en cada sesión al grupo de control y el grupo experimental constituido por 26 estudiantes cada grupo. = Las pregu= ntas fueron evaluadas de acuerdo con una escala de 5 alternativas: alto, medio a= lto, medio, medio bajo y bajo con puntajes que van del 1 al 5 siendo el 1 el baj= o y el 5 el alto. Los temas fueron organizados de forma secuencial considerando el enunciado general curricular del módulo formativo Sistemas = de automatización y control emito por el ministerio de Educación y de los estándares d competencias de la figura profesional. El tema de la primera c= lase fue enfocado a la definición de conceptos teóricos de los distintos element= os utilizados en circuitos de automatización. En la segunda clase el tema fue enfocado al diseńo del diagrama de control industrial utilizando el simulad= or CADESIMU el tema propuesto fue diseńar el circuito de inversión de giro de un motor trifásico mediante pulsadores. En la tercera clase el tema fue enfocado al montaje del tablero de control, conexiones de elementos, puesta en funcionamiento del circuito y verificación del funcionamiento de acuerdo con las condiciones establecidas. De este modo, el enfoque aplicado a la investigación apoya en la recolección de los datos, que se obtienen de forma numérica, al medir el rendimiento académico mediante el pretest y post test, después de implementar la estrategia didáctica de aula invertida en el módu= lo formativo de Sistemas de Automatización.

Como = declara Landazabal (2007), de modo que ambas metodologías= , exis= te alto grado de convergencia entre los resultados de la encuesta y los result= ados de la evaluación pretest – post test. Los programas tienen un impacto posit= ivo en varios aspectos del desarrollo socioemocional, como la comunicación, la cooperación, la empatía, el autoconcepto y el concepto de los compańeros del aula-taller. Según expresan Rodríguez-Conde et al. (2017), el propósito del pretest y post test es evaluar el impacto del camb= io metodológico y el efecto que resulta de implementar una metodología activa = en un trabajo que previamente ha utilizado una metodología tradicional.= La contribución de esta investigación radica en proporcionar evidencia sobre e= l impacto del aula invertida como estrategia didáctica utilizando CADES= IMU en el proceso de enseńanza-aprendizaje.

Resultados=

El nivel de aprendizaje fue evaluado con un pretest y un post test constituido= por un cuestionario con cinco preguntas por cada clase según un baremo de 5 alternativas: alto, medio alto, medio, medio bajo y bajo con puntajes que v= an del 1 al 5 siendo el 1 el bajo y el 5 el alto. El estudio se realizó en el Colegio Fiscal de Bachillerato Simón Bolívar en la figura profesional de Mecatrónica en el Módulo Formativo Sistemas de Automatización y Control, con una población de 52 estudiantes, distribuidos en dos paralelos de 26 estudiantes cada uno; donde un paralelo se denominó grupo control y el otro, grupo experimental, el cual recibió la intervención educativa.

Tabla= 1

Pretest ambos grupos. Dimensión 1: Automatizació= n

		Pretest Grupo Control	Pretest Grupo Experimental
	Validos	Media	% Bajo	% Medio Bajo<= /span>	Total<= /p>	Media<= /p>	Bajo	Medio Bajo	Total<= /p>
Fundamentos de elementos de con= trol	= 26	1,15	84,6%<= /p>	15,4%<= /p>	100,0%=	1,12	88,5%<= /p>	11,5%<= /p>	100,0%=
Fundamentos de elementos de fue= rza	= 26	1,23	76,9%<= /p>	23,1%<= /p>	100,0%=	1,15	84,6%<= /p>	15,4%<= /p>	100,0%=
Fundamentos de elementos de Protección	= 26	1,12	88,5%<= /p>	11,5%<= /p>	100,0%=	1,08	92,3%<= /p>	7,7%	100,0%=
Tipos de Motores	= 26	1,15	84,6%<= /p>	15,4%<= /p>	100,0%=	1,15	84,6%<= /p>	15,4%<= /p>	100,0%=
Inversión de giro de motor trifásico	= 26	1,00	100,0%=	0	100,0%=	1,04	96,2%<= /p>	3,8%	100,0%=

Nota.= Datos del pretest aplicado

Los cinco indicadores de la dimensión automatización se ubicaron en el nivel ba= jo, tal como se puede observar en la tabla 1; de esta manera, el indicador fundamentos de elementos de control se situó con el 84,6% para el grupo con= trol y con 88,5% para el grupo experimental; así mismo, en fundamentos de elemen= tos de fuerza el grupo de control obtuvo un 76,9% y el experimental el 84,6%; en fundamentos de elementos de protección, el control obtuvo el 88,5% y el experimental el 92,3%; En tipo de motores alcanzó el 84,6% para el grupo control y el mismo porcentaje para el experimental; y el indicador <= /span>Inversión de giro de motor trifás= ico el 100% para el cont= rol y el 96,2% para el experimental.

Tabla= 2

Pretest ambos grupos. Dimensión 2: Diseńo de diagramas con CADESIMU

=	=	Pretest Grupo Control	Pretest Grupo Experimental=
=	Válidos	Media<= /p>	Bajo	Medio Bajo	Total<= /p>	Media<= /p>	Bajo	Medio Bajo	Total<= /p>
Características técnicas	26	1,23	76,9%<= /p>	23,1%<= /p>	100,0%=	1,15	15,4%<= /p>	84,6%<= /p>	100,0%=
Biblioteca de simbología	26	1,12	89,5%<= /p>	10,5%<= /p>	100,0%=	1,12	11,5%<= /p>	88,5%<= /p>	100,0%=
Conexiones	26	1,15	84,6%<= /p>	15,4%<= /p>	100,0%=	1,12	11,5%<= /p>	88,5%<= /p>	100,0%=
Simulación	26	1,23	76,9%<= /p>	23,1%<= /p>	100,0%=	1,19	19,2%<= /p>	80,8%<= /p>	100,0%=
Aplicaciones	26	1,12	88,5%	11,5%	100,0%	1,08	7,7%	92,3%	100,0%

Nota.= Datos del pretest aplicado

Cóm= o se observa la tabla 2, el indicador características obtuvo el 76,9% para el gr= upo control, mientras que el grupo experimental obtuvo 84,6%; en el indicador biblioteca de simbología 88,5% para el grupo de control y el experimental. = En el indicador Conexiones 84,6% para el grupo de control y 88,5% para el experimental. En el indicador Simulación 76,9% para el grupo de control y 8= 0,8% para el experimental. En el indicador Aplicaciones 88,5% para el grupo de control y 92,3% para el experimental.

Tabla= 3

Pretest ambos grupos. Dimensión 3: montaje de tablero de control

= =

= Pretest Grupo Control

= Pretest Grupo Experimental=

= =

= Válidos

= Media<= /p>

= Bajo

= Medio Bajo

= Total<= /p>

= Media<= /p>

= Bajo

= Medio Bajo

= Total<= /p>

Herramientas

= 26

= 1,08

= 92,3%<= /p>

= 7,7%

= 100,0%=

= 1,08

= 92,3%<= /p>

= 7,7%

= 100,0%=

Diagrama de montaje y conexiones

= 26

= 1,23

= 76,9%<= /p>

= 23,1%<= /p>

= 100,0%=

= 1,19

= 80,8%<= /p>

= 19,2%<= /p>

= 100,0%=

Montaje y conexiones de elementos

= 26

= 1,12

= 88,5%<= /p>

= 11,5%<= /p>

= 100,0%=

= 1,08

= 92,3%<= /p>

= 7,7%

= 100,0%=

Normativa eléctrica

= 26

= 1,15

= 84,6%<= /p>

= 15,4%<= /p>

= 100,0%=

= 1,12

= 88,5%<= /p>

= 11,5%<= /p>

= 100,0%=

Campos de aplicación

= 26

= 1,92

= 7,7%

= 92,3%<= /p>

= 100,0%=

= 1,81

= 19,2%<= /p>

= 80,8%<= /p>

= 100,0%=

Nota.= Datos del pretest aplicado

Com= o se observa la tabla 3, el indicador herramientas obtuvo el 92,3% para el grupo control, y el grupo experimental. En el indicador diagrama de montaje y conexiones obtuvo el 76,9% para el grupo control, mientras que el grupo experimental obtuvo 80,8%. En el indicador Montaje y conexiones de elementos obtuvo el 88,5% para el grupo control, mientras que el grupo experimental obtuvo 92,3%. En el indicador normativa eléctrica obtuvo el 84,6% para el grupo control, mientras= que el grupo experimental obtuvo 88,5%. En el indicador campos de aplicación ob= tuvo el 92,3% para el grupo control, mientras que el grupo experimental obtuvo 80,8%.

Tabla= 4

Post test ambos grupos. dimensión 1: automatizac= ión

Post test Grupo Control

Post test Grupo Experimental

Válidos

Media

Bajo

Medio Bajo

Medio

Medio Alto

Total

Media

Medio

Medio Alto

Alto

Total

Fundamentos de elementos de control

2,00

11,5%<= /p>

76,9%<= /p>

11,5%<= /p>

0,00

100,0%=

4,92

0,00

7,7%

92,3%<= /p>

100,0%=

Fundamentos de elementos de fuerza

1,92

11,5%<= /p>

84,6%<= /p>

3,8%

0,00

100,0%=

4,88

0,00

11,5%<= /p>

88,5%<= /p>

100,0%=

Fundamentos de Protección

1,81

26,9%<= /p>

65,4%<= /p>

7,7%

0,00

100,0%=

4,73

3,8%

19,2%<= /p>

76,9%<= /p>

100,0%=

Tipos de Motores

1,77

30,8%<= /p>

61,5%<= /p>

7,7%

0,00

100,0%=

4,92

0,00

7,7%

92,3%<= /p>

100,0%=

Inversión de giro del motor trifásico=

2,27

11,5%<= /p>

53,8%<= /p>

30,8%<= /p>

3,8%

100,0%=

4,88

0,00

11,5%<= /p>

88,5%<= /p>

100,0%=

Nota.= Datos del post test a= plicado

Com= o se observa la tabla 4, En el indicador fundamentos de elementos de control obt= uvo el 76,9% para el grupo control, mientras que el grupo experimental obtuvo 92,3%. En el indicador fundamentos de elementos de fuerza obtuvo el 84,6% p= ara el grupo control, mientras que el grupo experimental obtuvo 88,5%. En el indicador fundamentos de elementos de protección obtuvo el 65,4% para el gr= upo control, mientras que el grupo experimental obtuvo 76,9%. En el indicador t= ipos de motores obtuvo el 61,5% para el grupo control, mientras que el grupo experimental obtuvo 92,3%. En el indicador inversión de giro del motor trifásico obtuvo el 53,8% para el grupo control, mientras que el grupo experimental obtuvo 88,5%.

Tabla= 5

Post test ambos grupos. Dimensión 2: Diseńo de diagramas con CADESIMU

		Post test Grupo Control=	Post test Grupo Experimental
	Válidos	Media	Bajo	Medio Bajo	Medio	Total	Media	Medio	Medio Alto	Alto	Total
Característi= cas técnicas	26	1,96	15,4%	73,1%	11,5%	100,0%<= /o:p>	4,81	0,00	19,2%	80,8%	100,0%<= /o:p>
Biblioteca de simbología	26	2,12	11,5%	65,4%	23,1%	100,0%<= /o:p>	4,69	3,8%	23,1%	73,1%	100,0%<= /o:p>
Conexiones	26	1,96	23,1%	57,7%	19,2%	100,0%<= /o:p>	4,88	0,00	11,5%	88,5%	100,0%<= /o:p>
Simulación	26	2,23	3,8%	69,2%	26,9%	100,0%<= /o:p>	4,69	3,8%	23,1%	73,1%	100,0%<= /o:p>
Aplicaciones	26	1,96	15,4%	73,1%	11,5%	100,0%	4,96	0,00	3,8%	96,2%	100,0%

Nota.= Datos del post test aplicado

Cóm= o se observa la tabla 5, el indicador características obtuvo el 73,1% para el gr= upo control, mientras que el grupo experimental obtuvo 80,8%; en el indicador b= iblioteca de simbología 65,4% para el grupo de control mientras que 73,1% para el gru= po experimental. En el indicador conexiones 57,7% para el grupo de control y 8= 8,5% para el experimental. En el indicador Simulación 69,2% para el grupo de con= trol y 73,1% para el experimental. En el indicador Aplicaciones 73,1% para el gr= upo de control y 96,2% para el experimental.

Tabla= 6

Post test ambos grupos. dimensión 3: montaje de tablero de control

		Post test Grupo Control=	Post test Grupo Experimental
	Válidos	Media	Bajo	Medio Bajo	Medio	Total	Media	Medio	Medio Alto	Alto	Total
Herramientas	26	1,96	15,4%	73,1%	11,5%	100,0%<= /o:p>	4,92	0,00	7,7%	92,3%	100,0%<= /o:p>
Diagrama de montaje= y conexiones	26	1,69	38,5%	53,8%	7,7%	100,0%<= /o:p>	4,88	0,00	11,5%	88,5%	100,0%<= /o:p>
Montaje y conexione= s de elementos	26	1,69	38,5%	53,8%	7,7%	100,0%<= /o:p>	4,92	0,00	7,7%	92,3%	100,0%<= /o:p>
Normativa eléctrica=	26	1,96	15,4%	73,1%	11,5%	100,0%<= /o:p>	4,81	0,00	19,2%	80,8%	100,0%<= /o:p>
Campos de aplicació= n	26	2,23	3,8%	69,2%	26,9%	100,0%<= /o:p>	4,69	3,8%	23,1%	73,1%	100,0%<= /o:p>

Nota.= Datos del post test aplicado

Com= o se observa la tabla 6, el indicador herramientas obtuvo el 73,1% para el grupo control, mientras que 92,3% para el grupo experimental. En el indicador diagrama de montaje y conexiones obtuvo el 53,8% para el grupo control, mientras que el grupo experimental obtuvo 88,5%. En el indicador Montaje y conexiones de elementos obtuvo el 53,8% para el grupo control, mientras que= el grupo experimental obtuvo 92,3%. En el indicador normativa eléctrica= obtuvo el 73,1% para= el grupo control, mientras que el grupo experimental obtuvo 80,8%. En el indic= ador campos de aplicación obtuvo el 69,2% para el grupo control, mientras que el grupo experimental obtuvo 73,1%.

En la dimensión 1 se observa un mejoramiento en = el grupo experimental con un promedio de 73,9% en comparación con el 68,32% del grupo de control dando un impacto del 5,58%. Mientras que en la dimensión 2 se observa un mejoramiento en el grupo experimental con un promedio de 82,34% en comparac= ión con el 67,7% del grupo de control, produciendo un impacto del 14,64= %. Finalmente, en la dimensión 3 se observa un mejoramiento en el grupo experimental con un promedio de 85,4% en comparaci= ón con el 64,6% del grupo de control. Produciendo un impacto del 20,8%= . Los resultados mostraron que la implementación = de la estrategia de aula invertida apoyada con el simulador CADESIMU fue bien = recibida y ayudó a mejorar la interacción y la motivación entre los estudiantes y el docente, lo que mejoró el rendimiento académico reflejado en el análisis po= st test.

Discusiones

La dimensión automatización se ubicó en el nivel medio bajo para el grupo control y en alto para el experimental, según expr= esa Walas (2023), su conocimiento por parte de los estudiantes es importante ya que, al manejar adecuadamente los dispositivos, se pueden controlar y ajustar diferentes pa= rámetros de manera automática. Según afirma Gázquez (2023), por su parte, la correcta interpretación de la seńalética en automatismos eléctricos contribuye a mejorar la eficiencia y = la productividad en los sistemas de automatización. Esto se logra al optimizar= el funcionamiento de los equipos y al reducir el tiempo de respuesta ante posi= bles incidencias, según expresa Cacuango (2021).

En la dimensión diseńo de diagramas con CADESIMU se ubicaron en el nivel med= io bajo; el grupo de control mientras, que para el experimental se ubicaron en= el nivel alto. En la dimensión 2 diseńo de diagramas con CADESIMU los dos grupos se ubicaron en el nivel bajo de = esta forma, se tiene que el conocimiento y uso adecuado del simulador CADESIMU es esencial para el diseńo de diagramas de circuitos de control fuerza de moto= res eléctricos y la ventaja principal es que se puede simular el funcionamiento= del circuito realizado y verificar si cumple las condiciones establecidas. Como expresan Rojas & Gutiérrez (2020), el uso correcto del software simulador en la educación técnica y tecnológica es actualmente una herramie= nta fundamental y necesaria para el éxito pedagógico.

Para la dimensión de montaje de tablero de control el grupo control se ubicó en el nivel medio bajo para todos los indicadores, y el grupo experimental en el nivel alto. El conocimiento de los diferentes tipos de motores eléctricos permite seleccionar el motor más adecuado para cada aplicación. Cada tipo de motor según Guasumba et al. (2021), t= ienen características específicas que los hacen más apropiados para ciertos usos;= por ejemplo, los motores de corriente continua son ideales para aplicaciones que requieren un control preciso de la velocidad, mientras que los motores de inducción son comunes en aplicaciones industriales debido a su robustez y b= ajo costo.

Los indicadores de la dimensión: Montaje de tabl= ero de control, se ubicaron en el nivel medio bajo para el grupo control y en el nivel alto para el experimental. De esta forma, se tiene que el conocimiento adecuado de los tableros eléctricos es esencial para garantizar la segurida= d de las personas que trabajan con ellos, un manejo incorrecto de los tableros eléctricos puede resultar en descargas eléctricas, cortocircuitos o incendi= os, manifestado por Aguilar (2020).

Conclusiones

· En conclusión, aunque= el mo= delo de aula invertida con simuladores logró un impacto favorable en el aprendizaje de los estudiantes de Mecatró= nica, es fundamental destacar que su aplica= ción en otros contextos educativos es importante, de esta manera es posible aprovechar al máximo los beneficios de esta poderosa herramienta que permit= e a los estudiantes adquirir conocimientos teóricos y desarrollo de competencia= s de manera autónoma y aplicarlos en un entorno virtual, brindando una base sóli= da y permitiendo desarrollar habilidades prácticas y de resolución de problemas = en el campo de la automatización y el control industrial.

·&nb= sp; El aula invertida apoyada con simuladores transforma la educación y los métodos tradicionales donde los docentes transmiten conocimientos basados en la memorización y la repetición sin considerar los roles analítico y crítico que los estudiantes deben aprender. La integrac= ión de la estrategia de aprendizaje de aula invertida apoyada con el simulador CADESIMU mejora las experiencias de aprendizaje significativo de los estudiantes al aumentar su motivación, compromiso y habilidades de aprendiz= aje.

·&nb= sp; A pesar de los desafí= os de la implementación del aula invertida apoyada con el simulador CADESIMU, = la estrategia didáctica ofrece beneficios para la educación y formación técnica profesional (EFTP), incluyendo una mejor comprensión del contenido, rendimi= ento académico y mayor motivación de los estudiantes. Además, anticiparse para el futuro brindándoles las herramientas que necesitan para tener éxito en un mundo cada vez más digital.

Conflicto de intereses<= /o:p>

Los autores declaran que no existe conflicto de intereses en relación con el artículo presentado.

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Sosa Díaz, M. J., Guerra Antequera, J., & Cerezo Piza= rro, M. (2021). Flipped classroom in the context of higher education: Learning, satisfaction, and interaction. Education Sciences, 11(8), 416. https://www.mdpi.com/2227-7102/11= /8/416

Ventura-León, J. L. (2017). żPoblación o muestra?: Una diferencia necesaria [Carta al Editor]. Revista Cubana de Salud Pública, 43(3), 648-649. http://scielo.sld.cu/pdf/rcsp= /v43n4/spu14417.pdf=

Walas Mateo, F. (2023). Nuevos modelos de negocio en el paradigma Industria 5.0. Inteligencia Artificial y Aprendizaje Automático para optimizar procesos industriales [Tesis= doctoral, Universidad Nacional de Lomas de Zamora, Buenos Aires, Argentina]. <= span style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New Roman",se= rif'>http://repositorio.unlz.edu.ar:8080/bitstream/handle/123456789/674/CUE= RPO%20CENTRAL%20TESIS%20WALAS%20MATEO_V3.pdf?sequence=3D1&isAllowed=3Dy=

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