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DOI: https://doi.org/10.56712/latam.v6i5.4818

La gamificación como estrategia pedagógica para fortalecer la enseñanza del Sistema Internacional de medidas en el Movimiento Rectilíneo Uniforme Variado (MRUV) <= /p>

Gamification = as a pedagogical strategy to strengthen the teaching of the International System= of Units in Uniformly Varied Rectilinear Motion (UVRM)

 

Manuel Eduardo Gualán Japón

manuel.gualan@unl.edu.ec

https://orcid.org/0009-0004-0426-8546

Universidad Nacional de Loja

Loja – Ecuador

 

José Luis Quizhpe Cueva

jose.l.quizhpe@unl.edu.ec

https://orcid.org/0000-0002-3616-685X

Universidad Nacional de Loja

Loja – Ecuador

 

Noelia Lizbeth Medina Carrillo

noelia.medina@unl.edu.ec

https://orcid.org/0009-0000-8616-9584

Universidad Nacional de Loja

Loja – Ecuador

 

Luis Felipe González Eras

lfgonnzaleze@unl.edu.ec

https://orcid.org/0009-0003-7985-0285

Universidad Nacional de Loja

Loja – Ecuador

 

Artículo recibido: 16 de julio de 2025. Aceptado para publicación: 15 de noviembre de 2025.

Conflictos de Interés: Ninguno que declarar.

 

Resumen

La enseñanza de la Física en primero de bachillerato enfrenta varios retos, especialmente cuando se trata de aplicar correctamente el Sistema Internacional de Medidas (SI) en el estudio del Movimiento Rectilíneo Uniformemente Variado (MRUV) y en la convención= de unidades. Muchos estudiantes presentan dificultades para comprender estos temas, lo que afecta su desempeño y limita su aprendizaje significativo. An= te esta situación surge esta investigación cuyo objetivo principal fue analiza= r la gamificación como estrategia pedagógica para fortalecerla enseñanza del Sis= tema Internacional de medidas en el Movimiento Rectilíneo Uniformemente Variado = (MRUV) en estudiantes de primero de bachillerato. Se u= tilizó una metodología mixta, con enfoque inductivo, mediante un test estructurado para evaluar los conocimientos sobre el MRUV, enfocado en el uso y conversión de unidades del Sistema Internacional de medidas. La muestra estuvo conformada por 98 estudiantes de primero de bachillerato seleccionados de una población de 132 alumnos distribuidos en cuatro paralelos. Los resultados obtenidos revelaron falencias significativ= as en las tres dimensiones evaluadas: conceptual, matemática y aplicación. Se identificó que una parte considerable del estudiantado presentó dificultade= s en la comprensión teórica de conceptos básicos, en la correcta conversión de unidades y en el uso adecuado de operaciones matemáticas aplicadas a la Fís= ica. Se concluye que estas deficiencias representan un obstáculo para el aprendi= zaje integral del MRUV, mostrando una debilidad conc= eptual en los estudiantes, que limita la resolución efectiva de problemas cinemáti= cos, comprometiendo la apropiación del conocimiento científico. A partir de este estudio, se proponen alternativas orientadas a superar estas dificultades.<= o:p>

Palabras clave: gamificación, sistema internacional de unidades, física, conversión de unidades

 

Abstract

Physics teaching in the first year of high school faces several challenges, especially when it comes to the correct application of the International System (SI) and the conversion of units of measurement in the study of Uniformly Varied Rectilinear Motion (URCM). Many students have difficulty understanding these topics, which affects the= ir performance and limits their meaningful learning. The main objective of this research was to analyze gamification as a pedagogical strategy to strengthen the teaching of the International System of Measurements in Uniformly Varied Rectilinear Motion (URCM) in first year high sc= hool students. A mixed methodology was used, with an inductive approach, by mean= s of a structured test to evaluate the knowledge of the MRU= V, focused on the use and conversion of units of the International System of Measurements. The sample consisted of 98 first-year high school students selected from a population of 132 students distributed in four parallels. T= he results obtained revealed significant deficiencies in the three dimensions evaluated: conceptual, mathematical and application. It was identified that= a considerable part of the students presented difficulties in the theoretical understanding of basic concepts, in the correct conversion of units and in = the adequate use of mathematical operations applied to Physics. It is concluded that these deficiencies represent an obstacle for the integral learning of = MRUV, showing a conceptual weakness in the students, = which limits the effective resolution of kinematic problems, compromising the appropriation of scientific knowledge. From this study, alternatives orient= ed to overcome these difficulties are proposed.

Keywords: gamification, international system of units, physics, unit conversion

 

 

 

 

 

 

 

<= o:p> 

Todo el contenido de LATAM Revista Latinoamerica= na de Ciencias Sociales y Humanidades, publicado en este sitio está disponibles bajo Licencia Creative Commons.=

C= ómo citar:  Gualán Japón, M. E., Quizhpe Cueva, J. L., Medina Carrillo, N. L., & González Eras, L. F. (2025). La gamificación como estrategia pedagógica para fortalecer la enseñanza del Sistema Internacional de medidas en el Movimiento Rectilíneo Uniforme Varia= do (MRUV). LATAM = Revista Latinoamericana de Ciencias Sociales y Humanidades 6 (5), 3337 – 3353. https://doi.org/10.56712/latam.v6i5.4818

INTRODUCCIÓN

A lo largo de los años, la enseñanza al igual = que la civilización, ha evolucionado constantemente, sin embargo, esta no ha de= jado de lado su objetivo principal que es, brindar a la humanidad las herramient= as y los conocimientos necesarios para apoyarnos en nuestras actividades diarias, tanto educativas como personales. Enseñar va más allá de transmitir únicame= nte conocimientos, pues además de necesitar que el docente transmita sus conocimientos de forma clara, precisa y comprensible, requiere de vocación,= responsabilidad y sobre todo de paciencia. Para Villar (2023), la enseñanza no se limita a = la simple transmisión de conocimientos pues esta constituye una actividad mediante la cual el docente orie= nta al estudiante para que no solo adquiera información, sino que también la compr= enda y la apliquen en contextos reales.

En la educación actual, la falta de interés y atención que los estudiantes presentan a la hora de aprender Física es muy elevada. García (2023) manifiesta que los alumnos enfrentan un gran reto al resolver problemas de Física, pues esta es una de las ciencias que presenta= un mayor grado de complejidad, desde la comprensión del fenómeno físico, leyes= y teorías, hasta el momento en que estos conceptos son aplicados para dar sol= ución a los problema o ejercicios planteados por el docente. Dentro del área de Física, temas como el Movimiento Rectilíneo Uniformemente Variado (MRUV) y el uso del Sistema Internacional de medidas s= uelen presentar dificultades en su enseñanza y aprendizaje, especialmente en los primeros niveles de bachillerato. Por ello, se cree necesario explorar nuev= as metodologías que potencien el aprendizaje significativo de los estudiantes = en estos temas.

Por esta razón,= de lo expuesto anteriormente, surge la necesidad de responder a la siguiente pregunta general ¿Cómo utilizar la gamificación, como estrategia pedagógica, para fortalecer la enseñanza del Sistema Internacional (SI) en el Movimiento Rectilíneo Uniformemente Variado (MRUV) para estudiantes de primero de bachillerato?, de la cual, se derivan tres objeti= vos específicos: 1) caracterizar la gamificación como estrategia pedagógica para fortalecer el proceso de enseñanza en estudiantes de primero de bachillerat= o; 2) Identificar las falencias, en términos de unidades de medida, que los estudiantes de primero de bachillerato presentan a la hora de resolver problemas relacionados con el Movimiento Rectilíneo Uniformemente Variado y= ; 3) diseñar una propuesta en la que, a través de recursos didácticos basados en= la gamificación, se potencie el aprendizaje del sistema internacional en los estudiantes de primero de bachillerato.

METODOLOGÍA

La presente investigación titulada “La gamificación como estrategia pedagógica para fortalecer la enseñanza del Sistema Internacional de medidas en el Movimiento Rectilíneo Uniformemente Variado (MRUV) en primero de bachillerato” cent= ró su estudio en la Unidad Educativa Fiscomisional “La Dolorosa” ubicada en la ci= udad de Loja, cantón Loja parroquia El Sagrario entre las calles Olmedo y José Antonio Eguiguren. Este centro educativo perteneciente a la Zona 7 de Ecuad= or, es un centro urbano que ofrece educación presencial en las jornadas matutin= a, vespertina y nocturna, con un tipo de educación regular que comprende nivel= es de educación inicial, básica y bachillerato. La institución cuenta con aproximadamente 90 docentes, 8 administrativos y una población estudiantil = de 1775 alumnos.

El estudio se enmarca dentro de un enfoque mix= to, integrando de manera sistemática tanto métodos cualitativos como cuantitati= vos, con el propósito de lograr una comprensión integral del problema de investigación y responder a los objetivos planteados al inicio de la investigación. El enfoque cualitativo, al implicar la búsqueda y el análisis profundo de los datos más importantes para la investiga= ción  permitió comprender el cómo y el porqué del problema, brindando una comprensión más profunda y clara del mis= mo. Mediante este enfoque se recopiló información que permitió analizar y comprender aquellos conceptos necesarios e importantes para el desarrollo d= e la investigación. Este enfoque permitió dar cumplimiento al primer objetivo específico. Por otra parte, el enfoque cuantitativo, al estar relacionado c= on el análisis de datos estadísticos, permitió recolectar y analizar aquellos datos específicos obtenidos al aplicar el test tal análisis nos llevó a dar cumplimiento con el segundo objetivo específico.

Esta investigación se rigió bajo el método inductivo, pues para esta investigación se partió de la observación y la recolección de datos para llegar a conclusiones generales, En cuanto al dis= eño, esta investigación es no experimental con un alcance transversal, ya que a través de la observación y el análisis, se recopiló información en un perio= do de tiempo definido y por una única vez, sin  manipular las variables.

Para dar cumplimiento al primer objetivo específico se realizó una exhaustiva revisión documental, con información directa, confiable, clara y accesible, para lo cual se usó algunas fuentes = de datos científicos, entre estas:  Go= ogle Académico, Redalyc, Scielo, Dialnet, repositorios de universidades, libros, tesis doctorales, artículos que tengan trascendencia con el objeto de investigación, entre otras. Dichas fuentes, al estar respaldadas por una entidad u organización confiable, permitieron comprobar el cómo las estrate= gias pedagógicas fortalecen el proceso de enseñanza.

Posterior a esto, con la finalidad de dar cumplimiento al segundo objetivo específico, se aplicó un test conformado p= or 18 ítems de opción múltiple, dirigido a los estudiantes con la finalidad de identificar las dificultades que presentan al resolver problemas relacionad= os con el Movimiento Rectilíneo Uniformemente Variado (MR= UV), específicamente en la aplicación del Sistema Internacional de Medidas y en = la conversión de unidades. La población estuvo conformada por 132 estudiantes = de primero de bachillerato distribuidos  en cuatro paralelos diferentes (= A, B, C y D). El tamaño muestral se determinó mediante la fórmula estadística correspondiente a muestras finitas, con un nivel de confiabilidad del 95% y= un margen de error permitido del 5% (0,05).

Donde:

n: tamaño de muestra

N: tamaño de la población

Z: nivel de confianza (95% 🡪= 1,96)

e: margen de error (5% 🡪= 0,05)

p: proporción de éxito (50% 🡪= 0,5)

q: proporción de fracaso (50% 🡪= 0,5)

Sustituyendo los valores en la fórmula resulta= :

 

   

Como resultado del cálculo muestral se determi= nó que la muestra estaría conformada por 98 estudiantes. Una vez hecho esto, se aplicó un muestreo estratificado con el propósito de garantizar la representación proporcional de cada uno de los paralelos o cursos que confo= rman la población estudiantil. Este procedimiento permitió obtener una muestra representativa de cada estrato, asegurando así la validez y confiabilidad de los resultados. La asignación de participantes de cada estrato se realizó utilizando la fórmula correspondiente al muestreo estratificado, la cual considera el tamaño de cada subgrupo en relación con la población total. Pa= ra la obtención de tales valores se aplicó la siguiente fórmula:

Donde:

 tamaño de muestra asignada= al estrato

n: tamaño de la muestra

: tamaño de la población del estrato (paralelo, curso)

N: tamaño total de la población

La aplicación de esta fórmula permitió determi= nar el tamaño específico de la muestra correspondiente a cada curso. Los result= ados obtenidos se presentan en la tabla 1.

Tabla 1

Tamaño de muest= ra tomada por cada curso

Curso

Número total de estudiantes

Muestra tomada por curso

A<= /span>

33=

24,5

B<= /span>

33=

24,5

C<= /span>

33=

24,5

D<= /span>

33=

24,5

Total

132

98=

 

Fuente: elaboración propia.

En total, la muestra con la que trabajó estuvo conformada por 98 estudiantes, a quienes se les aplicó el test. Una vez hec= ho esto, y con el fin de optimizar el tiempo, facilitar el manejo de la información y garantizar mayor comodidad en el procesamiento de los datos, = los resultados obtenidos fueron tabulados utilizando el software Microsoft Exce= l.

Finalmente, con el objetivo de integrar tanto = el primero como el segundo objetivo específico se diseñó una propuesta en la q= ue se incluyen aquellos recursos didácticos, basados en la gamificación, que potencien el aprendizaje del Sistema internacional de medidas en el Movimie= nto Rectilíneo Uniformemente Variado (MRUV), cumpli= endo así con el tercer objetivo específico.

 

 

 

DESARROLLO

La gamificación como estrategia pedagógica

En el contexto educativo actual, el papel del docente ha evolucionado significativamente, dicha transformación ha exigido= la implementación de estrategias pedagógicas innovadoras que respondan a las necesidades, intereses y estilos de aprendizaje de los estudiantes. Se puede denominar a las estrategias pedagógicas como aquellas herramientas que perm= iten planificar y pasar de un aprendizaje tradicional a uno más dinámico, participativo y significativo. Las estrategias pedagógicas, tal y como lo menciona Colmenares (2017) son los pasos o el procedimiento ideado por el docente con la finalidad de orientar e impulsar el proceso de enseñanza aprendizaje.  Las estrategias pedag= ógicas son muy importantes dentro del proceso de enseñanza aprendizaje pues estas, además de promover un aprendizaje activo y participativo, facilitan la adquisición de conocimientos en los estudiantes y contribuyen al logro de l= as metas educativas propuestas tanto por el docente como por la Institución Educativa.

En las estrategias pedagógicas, la formación docente permite desarrollar educadores más reflexivos y conscientes de la importancia de su labor en el cambio de la sociedad, esto además de mejorar= sus métodos de enseñanza, influye positivamente en el aprendizaje y desarrollo personal de los estudiantes. Mediante la participación interactiva y dinámi= ca, las estrategias pedagógicas buscan hacer partícipe al estudiante de su prop= io aprendizaje, desarrollando en ellos habilidades sociales y creativas (Calde= rón et. al 2023), por ello resulta fundamental en los docentes el saber cómo diseñarlas y cuando implementarlas pues de su correcta aplicación depende el lograr el objetivo planteado con lo cual afianzará un aprendizaje efectivo y duradero en los estudiantes.

En este contexto, las estrategias pedagógicas, concebidas como acciones planificadas para facilitar el proceso de aprendiz= aje, toman mayor relevancia cuando se fundamentan bajo los principios del constructivismo. Este enfoque reconoce al estudiante como un participante a= ctivo en la construcción del conocimiento, partiendo de sus experiencias previas y colocando al docente únicamente como un mediador. Promover la reflexión y desarrollar la autonomía, la colaboración y el pensamiento crítico es fundamental en el constructivismo, por ello existen algunos tipos de estrategias pedagógicas encaminadas a desarrollar tales cualidades en los estudiantes, Para Lagla et al y Lopez et al. (2023) entre estas estrategias se encuentra el aprendizaje activo, el micro aprendizaje, la gamificación y el aprendizaje basado en proyectos.

El aprendizaje activo

Es una estrategia que sitúa al estudiante en el centro del proceso educativo, promoviendo su participación directa y reflex= iva en la construcción del conocimiento. Este enfoque se aleja de la enseñanza tradicional, donde el docente es el único transmisor de información, y en su lugar, fomenta la colaboración, el pensamiento crítico y la aplicación prác= tica de los contenidos. Según Coapaza et al. (2024), destacan que esta metodología desafía el paradigma tradicional de la educac= ión pasiva y unidireccional, transformando la experiencia educativa y preparand= o a los estudiantes para enfrentar los desafíos de un mundo en constante cambio. Además, el aprendizaje activo se basa en estrategias de enseñanza efectivas, tecnologías educativas innovadoras y métodos de evaluación auténtica, lo qu= e lo convierte en una forma de enseñanza más completa y actualizada. =

El micro aprendizaje: este se ha consolidado c= omo una estrategia pedagógica efectiva en la enseñanza de la física, especialme= nte en entornos digitales. Esta metodología consiste en descomponer los conteni= dos complejos en unidades breves y específicas, facilitando la asimilación y retención de conceptos por parte de los estudiantes. Para Salas y González (2023), el micro aprendizaje permite a los docentes crear videos vinculados= al contenido curricular, lo que potencia el proceso de enseñanza y se adapta a= los diferentes estilos de aprendizaje de los alumnos. Además, esta estrategia fomenta la autonomía del estudiante, ya que puede acceder al material en cualquier momento y lugar, promoviendo un aprendizaje más flexible y personalizado.

La gamificación=

Esta incorpora elementos de juego en contextos educativos para aumentar la motivación y el compromiso de los estudiantes. = Esta estrategia ha demostrado ser efectiva en la enseñanza universitaria, foment= ando la participación activa y el desarrollo de competencias clave como la colaboración y la resolución de problemas. Hernández y Ahumada (2023) señal= an que la gamificación transforma la enseñanza tradicional y promueve el traba= jo en equipo, mejorando el desarrollo cognitivo de los estudiantes. Además, la implementación de estrategias gamificadas con tecnologías de la información y comunicación (TIC) en la enseñanza ha demostrado potenciar significativamente la motivación y el compromiso de los estudiantes.

El Aprendizaje Basado en Proyectos: es una estrategia que promueve la adquisición de conocimientos a través de la realización de proyectos que abordan problemas reales y significativos. Este enfoque permite a los estudiantes aplicar lo aprendido en contextos práctic= os, desarrollando habilidades como el pensamiento crítico, la creatividad y el trabajo en equipo. Botella y Ramos (2019) destacan que el ABP, en contraste= con las metodologías didácticas tradicionales, tiene como punto de inicio una pregunta o cuestionamiento concreto que debe ser resuelto mediante la construcción de un proyecto. Además, la integración de la investigación-acc= ión en el ABP permite a los docentes adaptar y mejorar continuamente sus prácti= cas pedagógicas, promoviendo una enseñanza más reflexiva y centrada en el estudiante.

La motivación y el ambiente de aprendizaje

La motivación es un factor que, además de impu= lsar a los estudiantes a explorar, preguntar, estudiar y persistir en su búsqued= a de conocimiento, influye directamente en el aprendizaje y en el rendimiento académico de cada uno de ellos, Gonzales et al. (2023) afirman que los fact= ores motivacionales desempeñan un papel fundamental en la forma en que los estudiantes organizan y orientan su conducta hacia el aprendizaje, pues un alumno motivado es participativo y creativo. La motivación no solo impulsa = una actitud positiva frente a las tareas escolares, sino que también facilita el desarrollo de habilidades, permite afrontar limitaciones personales y fomen= ta la atención a los propios intereses.

En este sentido, la motivación es un elemento clave en el proceso educativo, ya que influye directamente en el compromiso= , la perseverancia y el rendimiento académico de los estudiantes, siendo determi= nante para alcanzar un aprendizaje significativo y duradero. Cuando las estrategi= as pedagógicas se implementan en un entorno donde se promueve la confianza, el respeto y la participación su impacto es significativamente mayor, facilita= ndo la construcción de conocimientos de manera más autónoma, crítica y significativa.  <= /p>

Los ambientes de aprendizaje son espacios clav= e en el proceso educativo, pues estos permiten a los estudiantes sentirse motiva= dos, cómodos y seguros durante su proceso de aprendizaje. Según el Ministerio de Educación (MINEDUC, 2023), estos ambientes son espacios flexibles y adaptad= os a las necesidades e intereses de los estudiantes, y pueden encontrarse tanto dentro como fuera de la escuela. Además, los ambientes de aprendizaje deben= ser acogedores, seguros y cómodos para generar confianza en los estudiantes, lo cual facilita su participación y compromiso en el proceso educativo. En est= os espacios, los alumnos tienen la oportunidad de relacionarse, comunicarse y trabajar colaborativamente con sus compañeros, docentes y la comunidad educativa, fortaleciendo así su desarrollo personal y social.

La gamificación como estrategia pedagógica

En los últimos años, la gamificación ha emergi= do como una estrategia pedagógica innovadora que busca mejorar los procesos de enseñanza y aprendizaje mediante la incorporación de elementos propios del juego en contextos educativos, tal y como lo señala Valenzuela (2021), la gamificación es el uso de dinámicas, elementos, y mecánicas propias del jue= go en contextos diferentes, con el objetivo de hacer más atractivas y efectivas diversas actividades o procesos. Esta estrategia no busca convertir la clas= e en un juego, sino trata de usar elementos divertidos como retos, premios o niv= eles para motivar a los estudiantes y lograr que participen más en su aprendizaj= e.

Ventajas y desventajas del uso de la Gamificación=

La importancia de la gamificación radica en su capacidad para generar un entorno de aprendizaje más estimulante y atractiv= o. De acuerdo con Roa et. al (2021), varios autores como = Zichermann y Cunningham (2011); Kapp (2012) o Bruder (2015= ) han identificado varias ventajas del uso de esta estrategia en el ámbito educat= ivo, entre estas se destacan:

<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●<= span style=3D'mso-list:Ignore'>●Elementos de la gamificación

Tanto para Werbach= y Hunter (2012) citado por Alejandre y García (2016), como para Herranz (2013= ), citado por Borras (2015), dentro de la gamificación intervienen tres elemen= tos fundamentales: dinámicas, mecánicas y componentes. Las dinámicas, son las i= deas que hacen que el juego tenga sentido y motive a los estudiantes a participa= r. Son como las reglas generales que guían lo que pasa en el juego; Las mecáni= cas, son las acciones y reglas específicas que hacen que el juego funcione. Es decir, son lo que el estudiante tiene que hacer para avanzar, ganar puntos, completar retos o superar niveles ; y por último= los componentes del juego, son los elementos visibles y concretos que se usan p= ara poner en práctica las dinámicas y mecánicas. Son las cosas que los estudian= tes ven, usan o ganan mientras participan en las actividades, entre estas componentes se encuentran:

Puntos:<= /b> se ganan por realizar tareas o actividades.

Insignias o medallas: reconocimientos por logros específicos.

Niveles:= etapas que muestran el avance del estudiante.

Tablas de clasificación: comparan el progreso entre compañeros.

Avatares: personajes que representan al estudiante en el juego.

Recompensas: premios simbólicos o virtuales por el esfuerzo.<= /p>

Enseñanza de la Física a través de la gamificación

La gamificación se ha convertido en una estrat= egia innovadora dentro del proceso de enseñanza, ya que permite integrar element= os del juego en contextos educativos para hacer el aprendizaje más atractivo y significativo. Al utilizar mecanismos como recompensas, niveles, retos y dinámicas, se logra captar la atención del estudiante, fortalecer su motiva= ción y aumentar su participación en clase. Esta estrategia no solo promueve el compromiso activo de los estudiantes dentro del proceso de aprendizaje, sin= o que también estimula habilidades como la toma de decisiones, la resolución de problemas y el trabajo en equipo.

En el área de la Física, donde los contenidos suelen percibirse como complejos por su carga teórica y abstracta, la gamificación ofrece una alternativa creativa para facilitar su comprensión. En este sentido, Monroy y Mon= roy  (2021) sostienen que la incorpor= ación de la gamificación en la enseñanza de la Física no solo contribuye a captar= la atención de los estudiantes, sino que también promueve una experiencia de aprendizaje más gratificante y significativa, lo cual se refleja en un mejor rendimiento académico. De forma complementaria, Espinoza et al. (2023) seña= la que esta estrategia estimula el pensamiento crítico y genera un ambiente participativo, al permitir que los alumnos interactúen y se relacionen con = los contenidos de la asignatura de forma más práctica y concreta.

Por lo tanto, la gamificación no solo ayuda a mejorar el aprendizaje de la Física, sino que también transforma la manera = en que los estudiantes perciben la materia, haciéndola más accesible, entreten= ida y relevante para su formación. Chávez et al. (2022) señala de manera positi= va que el uso de la gamificación en la asignatura de física da buenos resultad= os, pues los estudiantes a más de divertirse aprenden de manera más dinámica y participativa, sin embargo resalta que los docen= tes deben perfeccionar su aplicación para lograr un crecimiento académico mayor= .

Sistema Internacional de Unidades (SI)

En París el 20 de mayo de 1875 la convención d= el metro creó la Oficina Internacional de Pesas y Medidas (BIPM) misma que, de acuerdo con el Centro Español de Metrología (CEM) (2019) tiene como misión asegurar que todas las medidas sean iguales y válidas en todo el mundo, esta además de permitir a científicos y técnicos comparar internacionalmente sus resultados, actúa como representante de la comunidad metrológica mundial, trabajando bajo la supervisión del Comité Internaciona= l de Pesas y Medidas (CIPM). Los 59 estados miembros= y 42 estados y entidades económicas asociadas asisten a conferencias generales c= ada 4 años con el objetivo de discutir y señalar acuerdos necesarios para que e= l SÍ siga manteniéndose.

Pinto et al. (2012) resalta que desde 1960 fue cuando el Sistema internacional tomó su nombre (SI) por sus iniciales francesas, considerándose desde entonces 7 unidades básicas con su unidad de medida correspondiente, las cuales se encuentran dentro del marco de acepta= ción del SÍ, estas son: longitud (m), masa (kg), tiempo (s), intensidad de corri= ente eléctrica (A), temperatura termodinámica (K), cantidad de sustancia (mol) e intensidad luminosa (cd). Estas unidades permiten hacer cálculos precisos y garantizar que los datos sean confiables tanto en la ciencia como en la tecnología, la industria y el comercio.

El Servicio Ecuatoriano de Normalización INEM (2017) señala que en Ecuador el SÍ fue adoptado mediante la ley N 1 456 de Pesas y Medidas, promulgada en el Registro Oficial N 468 del 9 de enero de = 1974 cuyo Art. 36 señala que el Sistema Legal de Unidades de Medida de uso gener= al y obligatorio en el Ecuador, es el sistema métrico decimal denominado Sistema Internacional de Unidades, en su  A= rt. 37 menciona que queda totalmente prohibido el uso de pesas y medidas y de apar= atos y equipos para pesar y medir que utilicen unidades de medida diferentes a l= as del Sistema Internacional, esto con la finalidad de facilitar un poco más el comercio.

Conversión de Unidades

La conversión de unidades constituye una habil= idad fundamental en el estudio de la Física, ya que permite expresar magnitudes = en diferentes escalas dentro de un mismo sistema de medida. Según Young y Free= dman (2009), una vez definidas las unidades fundamentales, resulta sencillo deri= var otras mayores o menores mediante el uso de prefijos del sistema métrico, co= mo kilo ( ), centi ( ) o mili ( ), lo que permite transformar valores sin alterar su significado físico. Toda ecuación física debe ser dimensionalmente coherente, es decir,= las cantidades que se suman, restan o igualan deben poseer las mismas unidades.= Por esta razón, es recomendable mantener las unidades visibles a lo largo de to= do el cálculo, ya que esto no solo garantiza la corrección matemática, sino también la validez física del resultado.

La conversión y el manejo adecuado de unidades= no es un simple trámite algebraico, sino una práctica esencial para el razonamiento científico riguroso. Por su parte Serway y Jewett (2008), seña= la que la conversión de unidades permite convertir unidades de un sistema de conversión a otro, eliminado aquella unidad dada para obtener la requerida, para ello, se debe colocar la unidad requerida en el numerador y la que se desea eliminar en el denominador de modo que se cancele con la unidad de la cantidad original, obteniendo asi el resultado deseado. La conversión de unidades es fundamental para expresar correctamen= te magnitudes físicas en diferentes sistemas de medida. Esto se logra mediante factores de conversión, que permiten cambiar una unidad por otra equivalente sin alterar su valor. A continuación, se muestran tablas con los factores de conversión básicos de longitud, masa y tiempo, útiles para realizar cálculos precisos en Física y ciencias afines.

Movimiento Rectilíneo Uniforme (MRU)=

El concepto de movimiento, dentro de la Física puede abordarse desde distintas perspectivas. Young y Freedman (2019) defin= en al movimiento como aquel desplazamiento, en una sola dimensión, que efectúa= un objeto durante cierto tiempo y para el cual intervienen magnitudes como la velocidad y la aceleración. Por su parte, la Secretaria= de Educación Pública (SEP, 2015) señala que este cambio ocurre cuando el ob= jeto se desplaza y cambia de lugar, dicho cambio puede verificarse solo si existe alguien que lo observe, es decir, se necesita de un punto de referencia (un observador) para verificar que dicho objeto se movió. Serway y Jewett (2008) clasifican el movimiento en tres tipos principales: Traslacional, rotaciona= l y vibratorio.

Traslacional: se refiere al movimiento lineal de un objeto

Rotacional: es aquel giro alrededor de un eje

Vibratorio: describe el movimiento de vaivén (péndulo)

El Movimiento Rectilíneo Uniforme (MRU) es uno de los movimientos más simples de estudia= r y sirve como punto de partida para comprender otros movimientos más complejos dentro de la Física. Hewitt  (2007) señala que cuando se habla del MR= U se hace mención al desplazamiento en línea recta que tiende a sufrir un obj= eto cuya velocidad es constante. Esto quiere decir que el objeto siempre va a recorrer la misma distancia en un mismo tiempo, sin ir ni más rápido ni más lento. Por otra parte Luna (2011) señala que el movimiento rectilíneo o unidimensional es el que realiza una partícula o un móvil a lo largo de una línea recta, en cualquiera de los dos sentidos. La línea recta a la que se hace referencia es cualquiera y puede ser horizonta= l, vertical o inclinada.

Movimiento Rectilíneo Uniformemente Variado (<= span class=3DSpellE>MRUV)

Para Bautista y Salazar (2011) y MINEDUC (2016= ), un cuerpo se desplaza con movimiento rectilíneo uniformemente acelerado (MRUA) si sigue una trayectoria rectilínea y su aceler= ación es constante y no nula. Rivera (2022) menciona que la rapidez no indica una dirección, es decir, esta señala o muestra cuán rápido se mueve un objeto, = esto es lo que define a la rapidez como una cantidad escalar. La rapidez se obti= ene al dividir la distancia total recorrida por el objeto sobre el tiempo que le tomó en recorrer dicha distancia.

RESULTADOS

Los resultados obtenidos a lo largo de este estudio permitieron evidenciar el grado de cumplimiento de los objetivos planteados en esta investigación, centrándose principalmente en caracterizar dicha estrategia pedagógica e identificar aquellos problemas presentes en l= os estudiantes a la hora de hacer uso de las unidades de medida del Sistema Internacional (SI).

En la primera fase para dar cumplimiento con e= stos objetivos, se realizó una investigación documental rigurosa, implicando una exploración sistemática de literatura académica sobre documentos relevantes relacionados a nuestro tema de estudio, dicha exploración incluyó el anális= is de documentos y conceptos esenciales como: Estrategias pedagógicas, motivac= ión, ambiente de aprendizaje, gamificación, Movimiento Rectilíneo Uniformemente Variado, Sistema Internacional de Unidades, entre otros. Todo esto fue indispensable para construir un marco teórico sólido y bien definido, lo cu= al, además de permitir comprender a fondo las variables de estudio, sirvió como guía para realizar un análisis e interpretación clara y coherente.

En otra  estancia, dando continuidad a la comprensión de la problemática, la siguiente fase de este estudio se enfocó en identificar las falencias, en términos de unidades de medida, que los estudiantes presentan a la hora de resolver problemas relacionados con el Movimiento Rectilíneo Uniformemente Variado, para lo cual fue necesario aplicar un test diagnóstico con la finalidad de conocer aquellas bases que los estudiantes poseían referente a= la conversión de unidades y a conceptos relacionados al Movimiento Rectilíneo Uniformemente Variado (MRUV).

Resultados de la investigación de campo

Para ofrecer una visión más global y sintetiza= da de las falencias identificadas, las preguntas del instrumento diagnóstico fueron agrupadas en tres dimensiones: Dominio Conceptual, Dominio Matemátic= o y Aplicación. El gráfico 1 presenta el porcentaje promedio de errores registr= ados en cada una de estas dimensiones.

Gráfico 1<= /o:p>

Porcentaje de e= rror del test por dimensión


Como se ilustra en el gráfico 2, la dimensión = con el mayor porcentaje de error es la conceptual, alcanzando un promedio del 6= 2%, este dato es crítico ya que evidencia que una proporción significativa de l= os estudiantes de primero de bachillerato presentan dificultades en la compren= sión de los fundamentos teóricos y las definiciones básicas relacionadas al Movimiento Rectilíneo Uniformemente Variado y al Sistema Internacional de Medidas,

Seguidamente, la dimensión de Aplicación con u= n 59% presenta un alto porcentaje de error. Este resultado es particularmente relevante para el objetivo de la investigación, pues pone en evidencia que,= a pesar de que los estudiantes tienen cierto nivel de comprensión teórica encuentran ciertas dificultades al integrar y aplicar dichos conocimientos = en la resolución de problemas que implican la manipulación y conversión de las unidades de medida. Esta alta taza de error en esta dimensión evidencia una brecha significativa entre el conocimiento teórico y la capacidad de traduc= ir esa teoría en soluciones concretas y correctas de problemas, lo cual es fundamental en al campo de la Física.

Finalmente, el Dominio Matemático es la dimens= ión con el porcentaje de error más bajo registrando un 29%. Sin embargo, si bien este resultado es comparativamente mejor que el de las otras dos dimensione= s, la presencia de un 29% de errores en esta área indica que las falencias en = la comprensión y manejo de conversiones de unidades y operaciones básicas relacionadas con el Sistema Internacional de Medidas no son despreciables. Estas deficiencias, aunque  parecen menores, son un factor contribuyente a los errores observados en la dimensión de Aplicación donde la correcta manipulación matemática de las unidades es indispensable para la solución de problemas.<= o:p>

DISCUSIÓN

A través del análisis documental y de los datos obtenidos, se logró evidenciar el cumplimiento de los objetivos específicos planteados al inicio de la investigación, misma que se enfocó en la gamificación como estrategia pedagógica para fortalecer la enseñanza del sistema internacional de medidas en el Movimiento Rectilíneo Uniformemente Variado (MRUV) para primero de bachillerato.

Los resultados de la investigación documental, cuyo objetivo fue caracterizar a la gamificación como estrategia pedagógica muestra que esta estrategia se fundamenta en el uso de elementos lúdicos co= mo las recompensas, niveles e insignias que convierten el proceso de enseñanza aprendizaje en una experiencia más atractiva y participativa para los estudiantes. Desde este punto de vista Torres et al. (2021) sostiene que la gamificación es más que simplemente usar juegos en el salón de clases, pues esta es una forma de enseñar que tiene como objetivo principal despertar el interés y la motivación de los estudiantes para que el aprendizaje sea más efectivo. Bajo el mismo contexto Sánchez et al. (2022) resalta que esta estrategia pedagógica aplicada en áreas complejas como lo es la Física perm= ite mejorar tanto la retención de conocimientos como la comprensión de conceptos abstractos ya que al presentar los contenidos en= forma de desafíos, competencias o misiones, se estimula la resolución de problemas desde una lógica más experimental y menos memorística.

De igual forma y para cumplir con el segundo o= bjetivo específico, orientado a identificar las principales falencias de los estudiantes en torno al Sistema internacional de medida=   dentro del Movimiento Rectilíneo Uniformemente Variado, se evidencio una mayoría de errores en áreas como la conceptualización y aplicación de las unidades de medida del Sistema Internacional. La dimensión conceptual presentó un 62% de errores, lo que evidencia que gran parte de los encuestados no logran comprender adecuadame= nte los fundamentos teóricos del MRUV ni el uso cor= recto de las unidades de medida del Sistema Internacional. Esta problemática concuerda con lo expuesto por Rodríguez e Ibarra (2023) quienes explican qu= e la falta de conexión entre los contenidos científicos y la práctica cotidiana generan una barrera cognitiva que dificulta la apropiación del conocimiento, pues cuando un estudiante no percibe una utilidad práctica en lo que aprende tiende a memorizar sin aprender, lo que impide la profundización del conten= ido. Esto resalta la necesidad  de aplicar estrategias didácticas más activas, como la gamificación, que coloque al estudiante en contextos significativos donde el conocimiento pueda ser construido desde la experiencia. <= /p>

En cuanto a la dimensión de Aplicación , los resultados revelan un error de 59 % señalando que, aunque este índice es ligeramente inferior al observado en la Conceptualización, refleja serias limitaciones al momento de trasladar los conocimientos teóricos a la resolución de problemas prácticos, especialmente a aquellos que implican la correcta  conversión y manipulación=   de unidades  de medida. Al respecto, Ayllón y Gómez (2017) afirman que la resoluc= ión efectiva de problemas requiere que el estudiante comprenda activamente los conceptos científicos y las unidades de medida, ya que<= /span> sin esta comprensión profunda, el proceso puede volverse mecánico y descontextualizado. Cuando los estudiantes no logran relacionar la teoría c= on la práctica, tienden a aplicar estrategias incorrectas que afectan la preci= sión y la lógica del razonamiento. Esta situación evidencia una brecha formativa misma que demanda la implementación de estrategias pedagógicas innovadoras entre las cuales se encuentra la gamificación, la cual permiten a los estudiantes aplicar conceptos a través de simulaciones y desafíos que repli= can situaciones reales o lúdicas, favoreciendo así una transferencia más autént= ica del conocimiento. Adicionalmente, Suarez (2016) advierte que las debilidade= s en las competencias matemáticas fundamentales representan un obstáculo directo para el progreso en el estudio de las ciencias exactas, ya que impiden el manejo adecuado de fórmulas, unidades y análisis de resultados. =

La gamificación, al integrar dinámicas lúdicas, estímulos visuales atractivos y retroalimentación inmediata, se ha consolid= ado como una estrategia efectiva para fortalecer el desarrollo de habilidades lógico-matemáticas en contextos de enseñanza científica. Según Díaz et al. (2022), el uso de juegos educativos y mecánicas de recompensa promueve la implicación activa del estudiante en tareas que exigen razonamiento matemát= ico, al convertir los errores en oportunidades de aprendizaje inmediato y contin= uo. Este tipo de entorno, donde el estudiante puede experimentar sin temor al fracaso, favorece la consolidación progresiva de la precisión en los cálcul= os y mejora la interpretación de resultados numéricos, aspectos fundamentales en= la física. En este sentido, es posible afirmar que la gamificación no sólo mot= iva, sino que también crea condiciones pedagógicas propicias para que el estudia= nte desarrolle competencias matemáticas aplicadas al análisis de fenómenos físi= cos. Desde una perspectiva crítica, su valor no radica únicamente en lo lúdico, = sino en su capacidad para conectar el pensamiento abstracto con la práctica, permitiendo que el aprendizaje de contenidos como el Movimiento Rectilíneo Uniformemente Variado y el Sistema internacional de Unidades se vuelva más significativo y duradero.

CONCLUSIÓN

A partir del análisis de los resultados obteni= dos y en concordancia con los objetivos planteados, se pueden establecer divers= as conclusiones que permiten valorar la efectividad de la gamificación como estrategia pedagógica. Las conclusiones que se presentan a continuación sintetizan los principales hallazgos del estudio y constituyen un punto de partida para futuras propuestas didácticas orientadas a mejorar la calidad = de la enseñanza de la Física en el nivel de bachillerato.

La revisión teórica permitió identificar que la gamificación es una estrategia pedagógica innovadora basada en la incorpora= ción de dinámicas propias del juego como recompensas, niveles, desafíos y retroalimentación inmediata en entornos educativos. Esta metodología transf= orma el aula en un espacio participativo y motivador, donde el estudiante se convierte en protagonista activo de su proceso de aprendizaje. En el contex= to de la enseñanza de la Física, la gamificación resulta especialmente pertine= nte, ya que contribuye a reducir la ansiedad ante los contenidos abstractos, estimula el interés por los fenómenos físicos y favorece el desarrollo de habilidades cognitivas tales como el pensamiento lógico y la resolución de problemas.

Los resultados empíricos evidenciaron importan= tes deficiencias en las tres dimensiones evaluadas: conceptual, de aplicación y matemática. La mayor dificultad se registró en la comprensión teórica del <= span class=3DSpellE>MRUV y del Sistema Internacional de Medidas, lo cual refleja una desconexión entre los contenidos impartidos y el contexto cotid= iano del estudiante. Asimismo, se detectaron errores significativos en la aplica= ción práctica, especialmente en ejercicios que implican la conversión de unidade= s, lo que resalta una débil transferencia del conocimiento. Finalmente, aunque= el dominio matemático presentó un porcentaje de error menor, persisten dificultades en el uso adecuado de operaciones básicas, lo que compromete el razonamiento de la Física integralmente. Estos hallazgos justifican la necesidad de metodologías activas que integren teoría, práctica y cálculo e= n un solo proceso formativo.

Debido a que los datos empíricos revelaron alt= as deficiencias en las dimensiones relacionadas a la conceptualización y la aplicación, se recomienda que los docentes implementen propuestas pedagógic= as que articulen de manera equilibrada los contenidos teóricos con actividades= prácticas, especialmente en temas como el Movimiento Rectilíneo Uniformemente Variado = y el uso del Sistema Internacional de Medidas. Esta integración contribuirá a reducir las brechas identificadas en la comprensión conceptual y en la aplicación de conocimientos, permitiendo así el desarrollo de competencias científicas sólidas y transferibles a la resolución de problemas reales. Ad= emás se sugiere realizar estudios complementarios con muestras más amplias y en distintos contextos educativos  (urbanos, rurales, públicos y privados) a fin de evaluar con mayor profundidad la efectividad y adaptabil= idad de la gamificación como estrategia pedagógica en la enseñanza de la física. Este tipo de investigaciones permitirá validar los resultados obtenidos, identificar patrones comunes en distintos entornos y proponer ajustes metodológicos que respondan a las particularidades de cada grupo estudianti= l.


 

REFERENCIAS

Alejaldre, L., & García, A. (2016). Gamificar: el uso de los elementos del juego en la enseñanza del español. La cultura hispánica: de sus orígenes al siglo XXI, (1), 83–87. https://dialnet.unirioja.es/servlet/articulo?codigo= =3D8518500

Ayllón, M. y Gómez, M. (2017). La resolución y planteamiento de problemas como estrategia para el aprendizaje. Revista Electrónica de Investigación Educativa, 19(2), 1-15. https://www.redalyc.org/journal/4780/478055149005/html/

Bautista, M. y Salazar, F. (2011). Hipertexto: Física. Santillana

Borras, O. (2015). Fundamentos de la gamificac= ión. https://oa.upm.es/35517/

Botella, A. y Ramos, P. (2019). Investigación-acción y aprendizaje basado en proyectos: Una revisión bibliográfica. Perfiles Educativos<= /i>, 41(163), 109–122. https://www.scielo.org.mx/scielo.php?pid=3DS0185-26982= 019000100127&script=3Dsci_arttext

Calderón, E., Urvina, L., Plaza, V., Narváez, = M. y Cepeda, E. (2023). Estrategias Pedagógicas en el aula y su Influencia en el desarrollo socioemocional de los Estudiantes. Ciencia Latina Revista Científica Multidisciplinar, 7(2), 5488-5504. https://d= oi.org/10.37811/cl_rcm.v7i2.5734

Centro Español de Metrología. (2019). El Sistema Internacional de Unidades (= SI), 9na Edición.

Chávez, D. y Chancay, L. (2022). Gamificación = en el aprendizaje de la asignatura de física en el bachillerato general ecuatoriano. Episteme koinonia, 5(1), 391–404. https://d= oi.org/10.35381/e.k.v5i1.1820

Coapaza, M., Cariapaza, G., Díaz, Y., y Condori, W. (2024). Aprendizaje Activo y Participativo en el Aula. Editorial Idica= p Pacífico. https://d= oi.org/10.53595/eip.015.2024

Colmenares, L. (2017). Apropiación de estrateg= ias pedagógicas y didácticas en los procesos de enseñanza- aprendizaje en los profesores que incorporan las tic en el programa tecnología informática. Uniminuto, 22, 18-42. <= /span>https://revistas.uniminuto.edu/index.php/Inventum/arti= cle/view/1503 

Díaz, R., Cevallos, L. y Herrera, M. (2022).Gamificación y pensamiento lógico-matemático en estudiantes de educación media. Revista Iberoamericana de Ciencias Educativ= as, 9(18), 115–132. https://d= oi.org/10.35362/rice.v9i18.1284

Espinoza, D., Fierro, B. y Zúñiga, C. (2024). Relación entre la gamificación y el desarrollo de habilidades de pensamiento crítico en física experimental. Revista InveCom / ISSN En línea: 2739-0063, 5(3), 1–6. https://d= oi.org/10.5281/zenodo.14172018

Garcia, M. (2023). Estrategia didáctica para = la solución de problemas en física . Con-Cienc= ia Boletín Científico De La Escuela Preparatoria, 3, 10(20), 46–50. https://doi.org/10.29057/prepa3.v= 10i20.10746

Hernández, E. y Ahumada, L. (2023). La gamificación para fortalecer el aprendizaje significativo. Societas, 25(2), 190–208. https://dialnet.unirioja.es/servlet/articulo?codigo= =3D9534255

Hewitt, P. (2007). Física conceptual (10.ª ed.= ). Pearson Educación.

 Insti= tuto Ecuatoriano de Normalización (INEN). (2017). Importancia del Sistema Internacional de Unidades. https://www.normalizacion.gob.ec/inen-destaca-la-impor= tancia-del-sistema-internacional-de-unidades

Lagla, R., Martínez, L., González, E. y Cern= a, A. (2023). Las estrategias pedagógicas innovadoras: un análisis crítico en = la formación docente. Polo del Conocimiento: Revista científico-profesional, 8(11), 320–337. https://dialnet.unirioja.es/servlet/articulo?codigo= =3D9252201

Luna, J. (2011). Física básica, 1ª ed. Guzlop. https://w= ww.guao.org/sites/default/files/biblioteca/F%C3%ADsica%20b%C3%A1sica.pdf

MINEDUC (2016). Fisica 1 BGU. https://educacion.gob.ec/wp-content/uploads/downloads/= 2016/09/Curriculo/FISICA/Fisica_1_BGU.pdf

Monroy, M. y Monroy, P. (2021). La gamificación como estrategia para el aprendizaje de Física. Revista de Tecnologias de la ciencia y comunicacion, 3 (9), 1-12. = 10.35429/JITC.2019.9.3.1.12

Rivera, J. (2022). Física: Volumen I. Red Descartes.

Roa, J., Sánchez, A. y Sánchez, N. (2021). Evaluación de la implantación de la gamificación como metodología activa en= la Educación Secundaria española. ReiDoCrea. Revis= ta de investigación y Docencia Creativa, 10(12), 1-9. = https://d= oi.org/10.30827/Digibug.66357

Rodríguez, M. e  Ibarra, F. (2023). Estrategia pedagógica activa para el aprendizaje significativo de la asignatura Educac= ión Cultural y Artística. 593 Digital Publisher CEIT, 8(1–1), 199–212. https://doi.org/10.33386/593dp.2023.1-1.1= 591 

 Salas= , F. y González, E. (2023). Preferencia por el Microaprendiza= je en Estudiantes Universitarios de México. Magis, Revista Internacional de Investigación en Educación, 16, 1–22= . https://doi.org/10.11144/Javerian= a.m16.pmeu

Sánchez, A., Martí, J. y Aldás, J. (2022). La gamificación como herramienta para mejorar el aprendizaje y la retención en contextos educativos exigentes. Revista Española de Pedagogía, 80(283), 229–246. https://d= oi.org/10.22550/REP80-2-2022-05

SEP. (2015). Física I. Telebachillerato comunitario https://dgb.sep.gob.mx/storage/recursos/2024/09/RtBCr7= 8uHb-Fisica-I.pdf 

Serway, R. y Jewett, J.  (2008). Física para ciencias e ingenier= ía (7.ª ed., Vol. 1). Cengage Learning.

Suárez, J. (2016). Aprendizaje de la matemátic= a, una condición necesaria para el aprendizaje de la física inicial a nivel superior. Revista Academia y Virtualidad, 9(1), 24-40.
http://dx.doi.org/10.18359= /ravi.1707

Torres, A., Romero, L. y Pérez, A. (2021). Motivación y participación estudiantil mediante la gamificación en contextos educativos digitales. Comunicar, 29(66), 53–62. = https://d= oi.org/10.3916/C66-2021-04

Valenzuela, M. (2021). Gamificación para el aprendizaje. Revista Educación Las Américas, 11(1), 91-103. https://doi.org/10.35811/rea.v11i= 1.140

Villar, N. (2023). Aprendizaje, enseñanza y psicología educativa, conceptos en relación constante: una revisión bibliográfica. Revista InveCom / ISSN En l= ínea: 2739-0063, 3(2), 1–10. https://d= oi.org/10.5281/zenodo.8056680

Young, H. y Freedman, R. (2019). Física universitaria (12.ª ed., Vol. 1). Pearson Educación.

Pinto, G., Martín, M. y  Martín,  M. (2012). Sistema Internacional de Unidades: resumen histórico y últimas propuestas. Anales de Química, 108(4), 278-286. https://analesdequimica.es/index.php/AnalesQuimica/art= icle/view/177/2291

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Todo el contenido de LATAM Revista Latinoamericana de Cien= cias Sociales y Humanidades, publicados en este sitio está disponibles bajo Licencia Creative Commons  .

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LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, Asunción, Paraguay.

 

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LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, Asunción, Paraguay.

ISSN en línea: 2789-3855, agosto, 2022, Volumen 3, Número 2, p. 1

 

 

 

ISSN en línea: 2789-3855, noviembre, 2025, Volumen= VI, Número 5 p 3324