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Evaluación de la asistencia de inteligencia artificial en la labor docente en la Unidad Educativa Digna Ma= ría Beatriz Cerda Neto, Pujilí-Ecuador

Evaluation of artificial intelligence assistance in teaching work at the Digna María Beatriz Cerda N= eto Educational Unit, Pujilí-Ecuador

¹	Braulio Antonio Jiménez Zambrano	=	https://orcid.org/0009-0003-32= 66-8398
	Magister de Educación Mención Matemáticas, Universidad Técnica Particular de Loja, Loja, Ecuador.<= /p> braulioantonio95@gmail.com
²	Edith Karina Barreros Coque	=	https://orcid.org/0009-0007-12= 91-3762
	Maestría en Educación de Bachillerato, Uni= versidad Estatal de Milagro, Guayaquil, Ecuador. karina.barreros19@gmail.com
³	Hugo Hernán Chacón Molina<= o:p>	=	https://orcid.org/0009-0007-65= 86-2786
	Maestría en Educación con Mención en Pedag= ogía en Entornos Digitales, Universidad Bolivariana del Ecuador, Guayaquil, Ecuador. hchaconmolina@gmail.com
⁴	Johana Tatiana Flores Quistial<= /span>	=	https://orcid.org/0009-0009-08= 14-4061
	Docente de Historia, Filosofía y Ciudadaní= a, Universidad Central del Ecuador. Quito. Ecuador. joytaty@hotmail.com

=

=

=

Artículo de Investigación Científica y Tecnológica

Enviado: 08/01/2024

Revisado: 20/02/2024

Aceptado: 11/03/2024

Publicado:05/04/2024

DOI: https://doi.org/10.33262/exploradordigi= tal.v8i2.2980              <= /span>         <= /o:p>

Cítese: <= /b>

Jiménez Zambrano, B. A., Barre= ros Coque, E. K., Chacón Molina, H. H., & Flores Quistial, J. T. (2024). Evaluación de la asistencia de inteligencia artificial en la labor docent= e en la Unidad Educativa Digna María Beatriz Cerda Neto, Pujilí-Ecuador. Explorador Digital, 8(2), 87-105. https://doi= .org/10.33262/exploradordigital.v8i2.2980

EXPLORADOR DIGITAL, es una Revista electrónica, = Trimestral, que se publicará en soporte electrónico tiene como misión contribu= ir a la   formación de profesionales competentes con visión humaníst= ica y crítica que sean capaces de exponer sus resultados investigativos y científicos en la misma medida que se promueva mediante su intervención cambios positivos en la sociedad. https://exploradordigital.org<= u>

La revista es editada por la Editorial Ciencia Digital (Editorial de prestigio registrada en la Cámara Ecuatoriana de Libro con = No de Afiliación 663) www.celibro.org.ec

Esta revista está protegida ba= jo una licencia Creative Commons en la 4.0 International. Copia de la licenc= ia: http://creativec= ommons.org/licenses/by-nc-nd/4.0/.

Palabras claves: Inteligencia Artificial, educación, labores docentes, satisfacción

Resumen

Introducción: El avance gradual y la adopció= n de la automatización y la inteligencia artificial (IA) han impulsado cambios significativos en todos los sectores. La naturaleza interdisciplinar de l= a IA tiene un gran alcance, ya que se ha expandido rápidamente con diversas aplicaciones en casi todos los sectores como la medicina, la educación, <= i>networking, entre otros. Los profesionales de la educación pueden beneficiarse de los recursos de la IA, que promete revolucionar las tareas cotidianas. El panorama educativo mundial se está transformando al adaptarse a nuevas tecnologías como la IA, mejorando la eficiencia, la productividad y la calidad de la enseńanza. Este es un estudio que compara las herramientas = de IA para educadores con el método tradicional de hacer las actividades laborales docentes en la institución educativa, en el cual se pretende an= alizar la satisfacción de la calidad del trabajo. Utilizando el análisis ANOVA, = la investigación. Objetivo: Demostrar cómo el uso de la inteligencia artificial puede influir en la satisfacción de la calidad del trabajo evaluado por docentes en cada una de las actividades de la jornada laboral docente en una institución educativa. Para ello, se utilizará el análisis= de la varianza (ANOVA) para comparar y analizar los datos recogidos en ambos entornos de trabajo, lo que nos permitirá identificar cualquier diferencia significativa entre los métodos. Metodología: La metodología utili= zada para esta investigación fue un cuestionario diseńado para evaluar el nive= l satisfacción de trabajo de las herramientas de inteligencia artificial en entornos digitales para ayudar= a los profesores en su trabajo en una institución educativa. Este estudio cualitativo-cuantitativo involucró técnicas e instrumentos para la recolección y análisis de datos, centrándose en el cuerpo docente de la Unidad Educativa "Digna María Beatriz Cerda Neto" ubicado en El Tingo, Pujilí Ecuador. La investigación, realizada en marzo de 2024, tamb= ién fue inductiva, partiendo de análisis específicos para sintetizar el probl= ema de investigación. Se utilizaron herramientas de IA como Megaprofe y Magic School AI, la comparación entre las actividades asistida por IA y los mét= odos tradicionales se analizó utilizando métodos estadísticos como ANOVA. El formulario de calificación se diseńó con 36 ítems. Para el análisis estadístico se utilizó el software Minitab 18. La investigación fue descriptiva y aplicativa, evaluando la IA en el contexto laboral educativ= o. Resultados: Las actividades educativas dentro de la institución asistidas por IA muestran diferencias significativas en los niveles de satisfacción de los profesores con una confianza del 95%, son: registro de notas, planificación, reuniones, coordinación con otras áreas y finalmente supervisión y control. Sin embargo, tareas como el apoyo familiar o la orientación profesional muestran niveles de satisfacción más bajos. Conclusión: Los educad= ores deben mantenerse al día sobre las capacidades de la IA para la mejora pedagógica, la automatización de tareas y la reducción de la carga de tra= bajo y estrés laboral. Una utilización adecuada de la IA puede agilizar las ta= reas administrativas, pero la intervención humana en el trabajo de las IAs sig= ue siendo crucial para el toque personalizado y la garantía de calidad. El acceso fiable a Internet en las escuelas rurales es crucial para la utilización eficaz de las IAs. Garantizar la accesibilidad a las herramie= ntas de IA, a pesar de los costes, es esencial para el desarrollo profesional = de los educadores ecuatorianos. Área de estudio general: Educación. <= b>Área de estudio específica: Entornos digitales.

Keywor= ds: A= rtificial Intelligence, education, teaching, satisfaction.

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Abstract

Introduction= . The gradual advancement and adoption of automati= on and artificial intelligence (AI) has driven significant changes across industries. The interdisciplinary nature of AI is far-reaching, as it has rapidly expanded with diverse applications in every sector such as medici= ne, education, networking, among others. Education professionals can benefit = from the resources of AI, which promises to revolutionize everyday tasks. The global education landscape is transforming as it adapts to modern technologies such as AI, improving efficiency, productivity, and the qual= ity of teaching. This is a study comparing AI tools for educators with the traditional method of doing teaching work activities in the educational institution, in which we aim to analyze job quality satisfaction. Using A= NOVA analysis, the research. Objective: To demonstrate how the use of artificial intelligence can influence satisfaction with the quality of wo= rk evaluated by teachers in each of the activities of the teaching workday i= n an educational institution. To this end, analysis of variance (ANOVA) will be used to compare and analyze the data collected in both work environments, which will allow us to identify any significant differences between the methods. Methodology. The methodology used for this research was a questionnaire designed to assess the level of job satisfaction of artific= ial intelligence tools in digital environments to assist teachers in their wo= rk in an educational institution. This qualitative-quantitative study involv= ed techniques and instruments for data collection and analysis, focusing on the teaching staff of the Educational Unit "Digna María Beatriz Cerda Neto" located in El Tingo, Pujilí Ecuador. The research, conducted in March 202= 4, was also inductive, starting from specific analyses to synthesize the research problem. AI tools such as Megaprofe and Magic School AI were use= d, the comparison between AI-assisted activities and traditional methods was analyzed using statistical methods such as ANOVA. The rating form was des= igned with 36 items. Minitab 18 software was used for statistical analysis. The research was descriptive and applicative, evaluating AI in the educational work context. Results. The educational activities within the institution assisted by AI show significant differences in teachers' satisfaction levels with 95% confidence are: recording grades, planning, meetings, coordination with other areas and finally supervision and contr= ol. However, tasks such as family support or career guidance show lower level= s of satisfaction. Conclusion. Educators must stay abreast of AI capabilities for pedagogical improvement, task automation, and reduction = of workload and work stress. Appropriate use of AI can streamline administra= tive tasks, but human intervention in AIs work remains crucial for personalized touch and quality assurance. Reliable Internet access in rural schools is crucial for effective utilization of AIs. Ensuring accessibility to AI to= ols, despite the costs, is essential for the professional development of Ecuadorian educators.

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Introducción=

El avance gradual= , la adopción de la automatización y la inteligencia artificial (IA) en las últi= mas décadas han impulsado cambios notables en diversas industrias. La naturaleza interdisciplinaria de la IA que combina la informática, las matemáticas y la psicología cognitiva se ha expandido rápidamente, encontrando diversas aplicaciones en todas las industrias (Jaboob et al., 2024) y sectores importantes de la sociedad como medicina, educación, social media, entre ot= ros. Para los profesionales de la educación, la gestión del tiempo y los recurso= s es crucial (García et al., 2020), la normalización del uso Inteligencia Artifi= cial (IA) promete revolucionar la forma en que los profesionales realizan sus ta= reas diarias. En el entorno educativo global, la adaptabilidad a las nuevas tecnologías como la IA esta revolucionado la forma de llevar a cabo las actividades laborales tanto dentro como fuera de las instituciones educativ= as (Sun et al., 2021). La adopción de herramientas que ofrecen las IA promete mejorar la eficiencia, la productividad y la calidad de la labor docente, transformando los procesos tradicionales. Cabe recalcar que para este traba= jo se usó las IAs Megaprofe y Magic Tools AI y los resultados de análisis se l= o hicieron de forma general, cabe acotar que no se llevó a cabo ninguna comparativa en= tre las dichas AIs.

El presente estud= io compara el desempeńo de las herramientas de las IAs para docentes con el mé= todo tradicional en las actividades laborales se realizan en institución educati= va y presencialmente o fuera del plantel (Ministerio de Educación del Ecuador, 2024). La investigación se enfoca en analizar y evaluar la satisfacción en calidad del trabajo (Colchester et al., 2017), de los profesores al utiliza= r herramientas de IA en comparación con los métodos tradicionales en el contexto laboral.<= /span>=

La justificación = de este estudio radica en la necesidad de comprender el impacto de las AIs en = las actividades cotidianes, así mismo, determinar estadísticamente cuan fiable resulta para los docentes el uso de herramientas de IA para, en cada una de= las actividades de la jornada laboral docente regulada a través del Acuerdo Ministerial No. MINEDUC-MINEDUC-2023-00005-A según el Ministerio de Educaci= ón del Ecuador (2024), dentro de las instituciones educativas. La comparación = de la inteligencia artificial y los métodos tradicionales para dichas activida= des permitirá identificar posibles mejoras la satisfacción de calidad del traba= jo (Pan & Zhang, 2021). Este análisis comparativo también aportará valiosas ideas para optimizar las prácticas docentes y apoyar la integración con éxi= to de las tecnologías de vanguardia en el ámbito ecuatoriano.=

El objetivo princ= ipal de este estudio es demostrar cómo el uso de la inteligencia artificial puede influir en la satisfacción de la calidad del trabajo evaluado por docentes en cada una de las actividades dentro de la jornada laboral docente dentro de una institución educativa como fuera de ella (Colchester = et al., 2017). Para ello, se utilizará el análisis de la varianza (ANOVA) para comparar y analizar los datos recogidos en ambos entornos de trabajo, lo que nos permitirá identificar cualquier diferencia significativa entre los méto= dos.=

El análisis se fundamenta en el uso del análisis de varianza (ANOVA) para comparar los resultados obtenidos con ambos métodos, permitiendo identificar posibles diferencias significativas en términos de satisfacción de la calidad del trabajo evaluado por docentes. Este estudio pretende contribuir al conocimi= ento existente sobre el impacto de la inteligencia artificial en el ámbito educa= tivo y proporcionar insights valiosos para mejorar las prácticas laborales docentes tanto dentro como fuera de las instituciones educativas.=

A través de este estudio se espera proporcionar información valiosa que contribuya a la comprensión de los beneficios y desafíos asociados a la implementación de herramientas de IA en el ámbito laboral de docentes. Estos hallazgos podrían tener importantes implicaciones para la formulación de políticas, la toma de decisiones y la planificación estratégica en organizaciones educativas o idealmente en el Ministerio de Educación de Ecuador para optimizar operacio= nes y mejorar el desempeńo de sus profesionales.

Metodología

La técnica utiliz= ada para esta investigación fue la encuesta, teniendo al cuestionario como instrumento seleccionado, cuyas preguntas fueron diseńadas para reflejar la eficacia de la inteligencia artificial usada como herramientas de entornos digitales para asistir en la ejecución de actividades de los docentes en la jornada Laboral en la institución educativa.

Esta investigación consiste en un estudio cualitativo-cuantitativo ya que según Finol & Ve= ra (2020), este modelo refleja el componente empírico y metodológico de la investigaci= ón, en la cual se ayudará de técnicas e instrumentos basados en procedimientos = para la recolección y el análisis de datos, con una muestra de personas que pertenecen cuerpo docente del área de Matemática de la Unidad Educativa “Di= gna María Beatriz Cerda Neto”. Este estudio se realizó en marzo de 2024. Este estudio también puede calificarse de inductivo, pues comienza con análisis específi= cos en torno a las variables de estudio para culminar en una síntesis del probl= ema de investigación (Rodríguez, 2011).

Además, se llevó a cabo con el cuerpo docente de la Unidad Educativa “Digna María Beatriz Cerda Neto” ubicada en la parroquia rural El Tingo, Pujilí, Ecuador (Gobierno Autónomo Descentralizado Parroquial Rural de El Tingo, 2024). Dicha escuela consta con un total de con un total de 29 docentes, 16 son mujeres y 13 son varones según el padrón oficial de 2023 – 2024 (Escuelas Ecuador, 2023). Teniendo en cuenta el criterio de inclusión y exclusión se tiene una muestra correspondiente a docentes del área de matemática e inglés de la institució= n, por razones de privacidad de la Institución se reserva el número específico= de participantes.

Instr= umentos, las herramientas de IAs para docentes utilizadas fueron; Megaprofe y Magic School AI

= Magic School AI

Magic School AI (= 2024), desarrollada por educadores con la meta de asistir a otros maestros alreded= or del mundo en la reducción de su carga laboral, permitiéndoles así conservar= su energía, reducir el estrés laboral e impartir clases de mejor manera a sus alumnos. Presenta 60 herramientas de IA adaptadas para reforzar y ayudar a = los educadores en su entorno laboral, recursos comunitarios gratuitos, entre otros.

Megaprofe

En Megaprofe (202= 4), desarrollada por José Antonio Tamayo y Vicenç Yll Escot, cuya misión es aprovechar todo el potencial de las diversas tecnologías de IA en el entorno educativo, animando a profesores y alumnos a beneficiarse plenamente de est= as herramientas en su proceso de aprendizaje. El objetivo es proporcionar herramientas y recursos que capaciten a los educadores y fomenten un entorno educativo enriquecedor y estimulante adaptado a las necesidades individuale= s de cada alumno (Yll Escot, 2023). Cuenta con más de 13 herramientas AIs enfoca= das al trabajo docente, blogs, multimedia entre otros. =

En el método tradicional, los docentes dedican numerosas horas a la planificación de sus actividades, participan en sesiones de capacitación, asisten a reuniones de comisiones, colaboran en la elaboración de proyectos educativos y demás actividades curriculares, todo ellos siguiendo los lineamientos del Ministe= rio de Educación Ecuatoriano. Este preproceso en la mayoría de los casos excede= las horas laborales pagadas de docentes, además genera agotamiento intelectual y estes laboral lo cual repercute en su desempeńo como educador (García, 2020= ).=

Los maestros realizaron sus actividades de docencia en la institución educativa asistidos por AI y sin AI, como usualmente los profesores lo realizan, método conocido como “tradicional” de aquí en adelante, para hacer una comparación exhausti= va entre ambos métodos, se aplicará el análisis de datos en estadística, el análisis de la varianza (ANOVA por sus siglas en inglés (ANalysis Of VAriance). Este enfoque metodológico se diseńará cuidadosamente para obtener información detallada sobre satisfacción de la calidad del trabajo evaluado por docentes de los dos métodos investigados (Colchester et al., 2017).

La premisa que engloba el formulario de calificación de las AIs versus el método tradicion= al en la ejecución de la actividad de la jornada docente es: =

Paso 1:

Revise detenidame= nte las actividades que realiza como docente, como se ilustra en el gráfico titulado "Jornada laboral docente".

Paso 2:

Utilice las herramientas de inteligencia artificial (IA) mencionadas para cada una de l= as actividades del gráfico "Jornada laboral docente":=

- Magic Too= ls - MagicSchool.ai

- Megaprofe=

Paso 3:

Evalúe el desempe= ńo de la IA en comparación con su práctica docente habitual, sin la asistencia= de la inteligencia artificial.

Figura 1

Jornada laboral docente MINEDU Ecuador

Fuente: Ministerio de Educación del Ecuado= r (2024)=

El formulario se desarrolló considerando indicadores clave y parámetros relevantes, para eva= luar cuantitativa y cualitativamente la aplicabilidad y los resultados obtenidos= por cada método dando un resultado de 36 ítems a ser respondidos por cada docen= te. La selección de variables específicas y la aplicación de preguntas estratégicas permitirán una comparación significativa obteniendo de datos fiables y pertinentes, apoyados por análisis ANOVA. La aplicación rigurosa de esta encuesta garantizará la para una evaluación crítica y objetiva de los métod= os en cuestión. Finalmente, se presentarán resultados obtenidos en base al análisis de resultados. Cabe mencionar que, el análisis ANOVA se lo realizo= en Minitab 18, el cual es un software estadístico para el análisis de dat= os, Minitab 18 posee una amplia gama de funciones estadísticas y gráficos para facilitar la interpretación de datos y la toma de decisiones en base ellos (Minitab, 2024).

La investigación = es de tipo descriptiva, dada su naturaleza, la modalidad es aplicativa, ya que= , el problema a resolver presenta las variables: Inteligencia Artificial como herramienta para docentes y la ejecución de actividades laborales de docent= es en la Institución Educativa (Ministerio de Educación del Ecuador, 2024). La= investigación se realizó en la institución educativa estatal ecuatoriana Unidad Educativa Digna Beatriz Cerda Neto, sustentada en un análisis bibliográfico y documen= tal de la información sistemáticamente procesada de temáticas similares.= =

En este estudio p= ropone evaluar la eficacia de la aplicación de las IAs de entornos educativos Magic Tools - MagicSchool.ai y Megaprofe en las actividades docentes en comparaci= ón con los métodos convencionales. El procedimiento se diseńará con instruccio= nes específicas para la administración de pruebas, integrando la IA en un grupo experimental y manteniendo un grupo de control sin intervención de IA. Se recogerán datos detallados sobre el rendimiento, la eficacia y la satisfacc= ión de los participantes en ambas condiciones.

Por lo tanto, el enfoque proporcionará una evaluación cuantitativa rigurosa de la eficacia relativa de la IA en las actividades docentes, contribuyendo a una comprens= ión objetiva de su impacto en el rendimiento y la eficiencia educativos.= Idealmente, para los creadores de las IAs, estas debe= rían tener el potencial de transformar la educación al proporcionar herramientas= que ayudan a los docentes a ser más eficientes, eficaces y en última instancia,= a reducir el agotamiento y estrés laboral, en países de LATAM como Ecuador, en sus zonas rurales como el Tingo, se espera que la tecnología cumpla su cometido.

Desarr= ollo

1. Contextualización del estudio:=

En el marco de es= ta investigación, se describen las actividades de la jornada laboral de los docentes que trabajan en el Ministerio de Educación del Ecuador, lo cual compete al cuerpo docente de la Unidad Educativa “Digna María Beatriz Cerda Neto” por estatal, según los lineamientos establecidos en base a la normati= va ministerial vigente Acuerdo Nro. MINEDUC-MINEDUC-2023-00005-A (Minist= erio de Educación del Ecuador, 2023), las actividades docentes se categorizan en= dos modalidades principales: las que se realizan dentro de la institución educa= tiva y las que se realizan de manera presencial fuera del plantel (Ministerio de Educación del Ecuador, 2024).

Jornada laboral de los docentes en la institución educativa, las cuales suman 6 horas diarias = y 30 semanales, dispuestas por 25 periodos pedagógicos, no obstante, la gestión participativa consiste en las actividades destallas en el siguiente cuadro y son en dichas actividades en las que llevo a cabo este análisis. La segunda modalidad es presencialmente o fuera del plantel (Ministerio de Educación d= el Ecuador, 2024) consta de dos horas diarias, dando un total de 10 semanales.=

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Figura 2

Jornada laboral de los docentes en la institución educativa=

Fuente: Ministerio de Educación del Ecuado= r (2024)=

La muestra docente que se analizó labora en la Unidad Educativa “Digna María Beatriz Cerda Net= o”, la cual está ubicada en la parroquia rural El Tingo (Gobierno Autónomo Descentralizado Parroquial Rural de El Tingo, 2024), se encuentra situada en las estribaciones de la cordillera Occidental pertenecientes al Cantón Puji= lí, en los Andes ecuatorianos en Ecuador.

Los programadores= de Megaprofe y Magic School IA han desarrollado una gran gama de herramientas con inteligencia artificial, enfocados en dar soluciones que pueden aliviar la carga y estrés de trabajo en docentes. Dichos sistemas de inteligencia artificial están diseńados para analizar cualquier temática en el ámbito educativo diferenciando típicos y edad escolar, entre otros. Proporcionar información sobre el progreso colectivas y las necesidades individuales de = los estudiantes y demás, con el fin de proveer a los profesores el ayudar y facilitar el post proceso enseńanzas aprendizaje de manera más efectiva (Su= n et al., 2021).

La justificación = de este estudio surge de la necesidad mostrar los efectos e influencia del emp= leo de herramientas de IA en entornos educativos regulados en el Acuerdo Ministerial No. MINEDUC-MINEDUC-2023-00005-A (Ministerio de Educación del Ecuador, 2023), dentro y fuera de las instituciones educativas. Contrastar = la inteligencia artificial con el método convencionales en estas tareas permit= irá identificar en cuales actividades existe satisfacción de la calidad del tra= bajo evaluado por docentes. Esta comparación de métodos con ANOVA también proporcionará información valiosa para mejorar las metodologías de enseńanz= a y facilitar la integración exitosa de tecnologías avanzadas en el panorama educativo de Ecuador.

El enfoque estadístico conocido como ANOVA será empleado para establecer la diferencia significativa entre los medios de dos o más grupos (Cortina & Nouri, 20= 00). En este caso, ANOVA se puede utilizar para comparar la productividad laboral del uso de inteligencia artificial con la jornada laboral tradicional.=

Teniendo en cuenta esto, se diseńó un cuestionario para recabar información sobre el uso de dos métodos: jornada laboral docente en la institución con asistencia de las IA= s y la realización de dichas actividades de forma tradicional. Posteriormente, = se realizó un análisis ANOVA en Minitab.18, para conocer si existe una diferen= cia significativa con un 95 % de confianza entre de la utilización de la IA en = las tareas educativas frente a los métodos tradicionales. =

En la hoja de tra= bajo de Minitab se colocó los datos obtenidos de la encueta mediante estas aviaciones

Tabla 1

Renombre= de actividades para Minitab

Actividades para evaluar

Abreviación de actividades para Minitab.18

Atención a familias con inteligencia artifici= al

AIA

Atención a familias de forma habitual

A

Registro de notas con inteligencia artificial=

RIA

Registro de notas de forma habitual

RI

Planificación con inteligencia artificial

PIA

Planificación de forma habitual

PI

Reuniones con inteligencia artificial

RIA

Reuniones de forma habitual=

R

Orientación vocacional y profesional con inteligencia artificial

OIA

Orientación vocacional y profesional de forma habitual

O

Coordinación con otras áreas con inteligencia artificial

CIA

Coordinación con otras áreas de forma habitua= l

C

Supervisión y control con inteligencia artifi= cial

SIA

Supervisión y control de forma habitual<= /o:p>

S

Debido a la naturaleza de los datos el coeficiente de determinación de Análisis ANOVA unidireccional indico que, la proporción de la variabilidad total en los da= tos analizados deben ser tratados como se muestra en la siguiente sección.

Los parámetros de análisis de ANOVA determinaran si existe una diferencia significativa entre= las laboreas docentes con AIs y sin ellas, la para lo cual se requiere un valor promedio alto en el análisis de las medias, debido a que, los docentes evaluaron el nivel satisfacción de acuerdo con cada afirmación utilizando u= na escala del 1 al 5, donde 1 =3D Insatisfecho y 5 =3D Totalmente de Satisfech= o. Por lo tanto, el valor promedio alto es el más apropiado para el estudio

Finalmente, como limitación de este estudio que se encontró que, en la mayoría de las unidad= es educativas en zonas rurales como la parroquia del Tingo en Ecuador, no se cuenta con buena conexión a internet, las IAs funcionan con este recurso digital, por lo tanto, la ausencia de WIFI imposibilitaría su uso en las labores docentes dentro de las instalaciones de la unidad educativa.

Resultados <= /span>

Análisis ANOVA unidireccional para determinar si existe una diferencia significativa con u= n 95 % de confianza entre atención a familias y registro de notas con asistencia= de inteligencia artificial y del método tradicional.
Tabla 2

ANOVA unidirecc= ional para análisis de IAs versus método habitual y o tradicional

Source

Date

Null hypothesis

All means are equal

Alternative hypothesis

Not all means are equal

Significance level

α =3D 0.05

Equal variances were assumed for the analysis

Tabla 3

Análisis= de Varianza para AIA, A, RIA y A=

Source

DF

Adj SS

Adj MS

F-Value

P-Value

Factor

3

17.2

5.7333

7.91

0.002

Error

16

11.6

0.725

Total

19

28.8

Ya que el p-valor= es de 0.002, se acepta la hipótesis alternativa, ya que si existe una diferenc= ia significativa con un 95 % de confianza entre atención a familias y registro= de notas con asistencia de inteligencia artificial y del método tradicional.&n= bsp;=

Figura 3

Gráfico = de intervalos de AIA, A, RIA, RI IC del 95% para la media

=

Según el resultado del análisis Tukey, los dato= s del intervalo de confianza para la media revelan que los métodos más recomendad= os son: el registro de notas con inteligencia artificial y atención a padres de familia de forma habitual.

Análisis ANOVA unidireccional para determinar si existe una diferencia significativa con u= n 95 % de confianza entre planificación y reuniones con inteligencia artificial y del método tradicional.

Tabla 4

Análisis= de Varianza para PIA, PI, RIA, R=

Source

DF

Adj SS

Adj MS

F-Value<= /p>

P-Value<= /p>

Factor

3

17.2

5.7333

7.91

0.002

Error

16

11.6

0.725

Total

19

28.8

Con un valor de P 0.027, el análisis ANOVA determina, que si existe = una diferencia significativa con un 95 % de confianza entre planificación y reuniones con inteligencia artificial y del método tradicional. =

Figura 4

Diagrama= de caja de PIA, PI, RIA y R

=

=

La diferencia ent= re las medianas del diagrama muestra que, la Planificación con asistencia de l= as AIs es realmente satisfactorio, seguido de la ejecución de reuniones con un nivel de satisfacción del 90%.

Orientación vocacional y profesional, coordinación con otras áreas con uso de inteligen= cia artificial y de forma tradicional.

Tabla 5

Análisis= de Varianza para OIA, O, CIA y C

Source

DF

Adj SS

Adj MS

F-Value<= /p>

P-Value<= /p>

Factor

3

9

3

1.76

0.194

Error

16

27.2

1.7

Total

19

36.2

El análisis ANOVA unidireccional con un 95 % de confianza para orientación vocacional y profesional, coordinación con otras áreas con uso de inteligencia artificia= l y de forma tradicional, indican que el valor P de 0,194 es mayor al nivel de significancia α (0,05), de modo que, en este caso, si la hipótesis nul= a es verdadera, significa que no hay una diferencia significativa entre utilizar inteligencia artificial o no, en lo siguiente: =

•   Orientación vocacional y profesiona= l=

•   Coordinación con otras áreas

Sin embargo, según los gráficos del intervalo de confianza para la media y el cuadro de valores individuales para la media, resalta la coordinación con otras áreas con inteligencia artificia como el valor más alto, reflejando así el nivel satisfacción de los docentes para esta actividad laboral. =

Figura 5

Valores individuales para la media de OIA, O, CIA y C

=

El análisis ANOVA unidireccional con un 95 % de confianza para orientación vocacional y profesional, coordinación con otras áreas con uso de inteligencia artificia= l y de forma tradicional, indican que el valor P de 0,019 es menor al nivel de significancia α (0,05), de modo que, En este caso, si la hipótesis nul= a es falsa, significa que si hay una diferencia significativa en utilizar inteligencia artificial en supervisión y control.

Tabla 6

Valor P = para supervisión y control<= /i>

Source

DF

Adj SS

Adj MS

F-Value<= /p>

P-Value<= /p>

Factor

3

12.95

4.3167

4.43

0.019

Error

16

15.6

0.975

Total

19

28.55

Conclusiones

·&nb= sp;        Las actividades laborales en la institución educativa con ayuda de las AIs, en las cuales hay una diferencia significativa comprobada en niveles de satisfacción docente en la calidad de trabajo con un 95% de confianza son; registro de notas, planificación, reuniones, coordinación con otras áreas y finalmente supervisión y control.= Las labores en las que la asistencia de las AIs no alcanzó los niveles de satisfacción al uso docente, con un nivel de significancia de 0,05 son; atención a familias, orientación vocacional y profesional.

·&nb= sp;        Es imperativo mantenerse al corrien= te en todo lo que las IAs pueden ofrecer a los docentes. La IA presenta una ga= ma diversa de actividades pedagógicas que abarcan componentes manuales, elemen= tos de composición de debates y retos entre otras herramientas. Por consiguient= e, estos avances agilizan y mejoran las tareas pedagógicas, garantizando alivi= anar la carga laboral docente en la institución educativa.

·&nb= sp;        Las AIs pueden automatizar tareas administrativas tediosas, como registro de notas, planificación y demás actividades, según lo menciona el creador de una de las IAs en el entorno educativo más actual e innovadora del mundo asistentes virtuales impulsados= por IA bien utilizados realizan alrededor del 80% de trabajo, el restante 20% compete al docente, el docente debe dar su toque personalizado y revisar la rúbrica que obtiene de la IA, de modo que, la idea que surge entorno al tra= bajo de la IA, dimensionándolo como ineludible e inerrante no es verdadero. = ;

·&nb= sp;        En instituciones educativas rurales, una conexión fiable a Internet permitiría a los educadores aprovechar eficazmente la IA para diversas tareas pedagógicas, administrativas y reduc= ción de estrés laboral, además es imperativo para el MINEDU dar prioridad a prop= orcionar capacitaciones y patrocinio las herramientas IAs, ya que, por ejemplo, las analizadas en el presente trabajo no son gratuitas y como estas hay muchas = más en la web. Será ideal que el costo del acceso a estas tecnologías no sean un obstáculo para los educadores estatales ecuatorianos.

Conflicto de intereses

No existe conflicto de intereses en relación con el artículo presentado

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El artículo queda en propiedad d= e la revista y, por tanto, su publicación parcial y/o total en otro medio tiene = que ser autorizado por el director de la Revista Explorador Digital.

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ISSN: 2661-6831

Vol. 8 No. 2, pp. 87 – 105, abril - junio 2024

www.exploradordigital.org=

Desarrollo Turístico = Página 87

= = =	Artículo de Investigación Científica y Tecnológica Enviado: 08/01/2024 Revisado: 20/02/2024 Aceptado: 11/03/2024 Publicado:05/04/2024 DOI: https://doi.org/10.33262/exploradordigi= tal.v8i2.2980 <= /span> <= /o:p>

Cítese: <= /b>		Jiménez Zambrano, B. A., Barre= ros Coque, E. K., Chacón Molina, H. H., & Flores Quistial, J. T. (2024). Evaluación de la asistencia de inteligencia artificial en la labor docent= e en la Unidad Educativa Digna María Beatriz Cerda Neto, Pujilí-Ecuador. Explorador Digital, 8(2), 87-105. https://doi= .org/10.33262/exploradordigital.v8i2.2980
		EXPLORADOR DIGITAL, es una Revista electrónica, = Trimestral, que se publicará en soporte electrónico tiene como misión contribu= ir a la formación de profesionales competentes con visión humaníst= ica y crítica que sean capaces de exponer sus resultados investigativos y científicos en la misma medida que se promueva mediante su intervención cambios positivos en la sociedad. https://exploradordigital.org<= u> La revista es editada por la Editorial Ciencia Digital (Editorial de prestigio registrada en la Cámara Ecuatoriana de Libro con = No de Afiliación 663) www.celibro.org.ec
		Esta revista está protegida ba= jo una licencia Creative Commons en la 4.0 International. Copia de la licenc= ia: http://creativec= ommons.org/licenses/by-nc-nd/4.0/.
Palabras claves: Inteligencia Artificial, educación, labores docentes, satisfacción		Resumen Introducción: El avance gradual y la adopció= n de la automatización y la inteligencia artificial (IA) han impulsado cambios significativos en todos los sectores. La naturaleza interdisciplinar de l= a IA tiene un gran alcance, ya que se ha expandido rápidamente con diversas aplicaciones en casi todos los sectores como la medicina, la educación, <= i>networking, entre otros. Los profesionales de la educación pueden beneficiarse de los recursos de la IA, que promete revolucionar las tareas cotidianas. El panorama educativo mundial se está transformando al adaptarse a nuevas tecnologías como la IA, mejorando la eficiencia, la productividad y la calidad de la enseńanza. Este es un estudio que compara las herramientas = de IA para educadores con el método tradicional de hacer las actividades laborales docentes en la institución educativa, en el cual se pretende an= alizar la satisfacción de la calidad del trabajo. Utilizando el análisis ANOVA, = la investigación. Objetivo: Demostrar cómo el uso de la inteligencia artificial puede influir en la satisfacción de la calidad del trabajo evaluado por docentes en cada una de las actividades de la jornada laboral docente en una institución educativa. Para ello, se utilizará el análisis= de la varianza (ANOVA) para comparar y analizar los datos recogidos en ambos entornos de trabajo, lo que nos permitirá identificar cualquier diferencia significativa entre los métodos. Metodología: La metodología utili= zada para esta investigación fue un cuestionario diseńado para evaluar el nive= l satisfacción de trabajo de las herramientas de inteligencia artificial en entornos digitales para ayudar= a los profesores en su trabajo en una institución educativa. Este estudio cualitativo-cuantitativo involucró técnicas e instrumentos para la recolección y análisis de datos, centrándose en el cuerpo docente de la Unidad Educativa "Digna María Beatriz Cerda Neto" ubicado en El Tingo, Pujilí Ecuador. La investigación, realizada en marzo de 2024, tamb= ién fue inductiva, partiendo de análisis específicos para sintetizar el probl= ema de investigación. Se utilizaron herramientas de IA como Megaprofe y Magic School AI, la comparación entre las actividades asistida por IA y los mét= odos tradicionales se analizó utilizando métodos estadísticos como ANOVA. El formulario de calificación se diseńó con 36 ítems. Para el análisis estadístico se utilizó el software Minitab 18. La investigación fue descriptiva y aplicativa, evaluando la IA en el contexto laboral educativ= o. Resultados: Las actividades educativas dentro de la institución asistidas por IA muestran diferencias significativas en los niveles de satisfacción de los profesores con una confianza del 95%, son: registro de notas, planificación, reuniones, coordinación con otras áreas y finalmente supervisión y control. Sin embargo, tareas como el apoyo familiar o la orientación profesional muestran niveles de satisfacción más bajos. Conclusión: Los educad= ores deben mantenerse al día sobre las capacidades de la IA para la mejora pedagógica, la automatización de tareas y la reducción de la carga de tra= bajo y estrés laboral. Una utilización adecuada de la IA puede agilizar las ta= reas administrativas, pero la intervención humana en el trabajo de las IAs sig= ue siendo crucial para el toque personalizado y la garantía de calidad. El acceso fiable a Internet en las escuelas rurales es crucial para la utilización eficaz de las IAs. Garantizar la accesibilidad a las herramie= ntas de IA, a pesar de los costes, es esencial para el desarrollo profesional = de los educadores ecuatorianos. Área de estudio general: Educación. <= b>Área de estudio específica: Entornos digitales.
Keywor= ds: A= rtificial Intelligence, education, teaching, satisfaction.	&= nbsp;	Abstract Introduction= . The gradual advancement and adoption of automati= on and artificial intelligence (AI) has driven significant changes across industries. The interdisciplinary nature of AI is far-reaching, as it has rapidly expanded with diverse applications in every sector such as medici= ne, education, networking, among others. Education professionals can benefit = from the resources of AI, which promises to revolutionize everyday tasks. The global education landscape is transforming as it adapts to modern technologies such as AI, improving efficiency, productivity, and the qual= ity of teaching. This is a study comparing AI tools for educators with the traditional method of doing teaching work activities in the educational institution, in which we aim to analyze job quality satisfaction. Using A= NOVA analysis, the research. Objective: To demonstrate how the use of artificial intelligence can influence satisfaction with the quality of wo= rk evaluated by teachers in each of the activities of the teaching workday i= n an educational institution. To this end, analysis of variance (ANOVA) will be used to compare and analyze the data collected in both work environments, which will allow us to identify any significant differences between the methods. Methodology. The methodology used for this research was a questionnaire designed to assess the level of job satisfaction of artific= ial intelligence tools in digital environments to assist teachers in their wo= rk in an educational institution. This qualitative-quantitative study involv= ed techniques and instruments for data collection and analysis, focusing on the teaching staff of the Educational Unit "Digna María Beatriz Cerda Neto" located in El Tingo, Pujilí Ecuador. The research, conducted in March 202= 4, was also inductive, starting from specific analyses to synthesize the research problem. AI tools such as Megaprofe and Magic School AI were use= d, the comparison between AI-assisted activities and traditional methods was analyzed using statistical methods such as ANOVA. The rating form was des= igned with 36 items. Minitab 18 software was used for statistical analysis. The research was descriptive and applicative, evaluating AI in the educational work context. Results. The educational activities within the institution assisted by AI show significant differences in teachers' satisfaction levels with 95% confidence are: recording grades, planning, meetings, coordination with other areas and finally supervision and contr= ol. However, tasks such as family support or career guidance show lower level= s of satisfaction. Conclusion. Educators must stay abreast of AI capabilities for pedagogical improvement, task automation, and reduction = of workload and work stress. Appropriate use of AI can streamline administra= tive tasks, but human intervention in AIs work remains crucial for personalized touch and quality assurance. Reliable Internet access in rural schools is crucial for effective utilization of AIs. Ensuring accessibility to AI to= ols, despite the costs, is essential for the professional development of Ecuadorian educators. &= nbsp;

Actividades para evaluar	Abreviación de actividades para Minitab.18
Atención a familias con inteligencia artifici= al	AIA
Atención a familias de forma habitual	A
Registro de notas con inteligencia artificial=	RIA
Registro de notas de forma habitual	RI
Planificación con inteligencia artificial	PIA
Planificación de forma habitual	PI
Reuniones con inteligencia artificial	RIA
Reuniones de forma habitual=	R
Orientación vocacional y profesional con inteligencia artificial	OIA
Orientación vocacional y profesional de forma habitual	O
Coordinación con otras áreas con inteligencia artificial	CIA
Coordinación con otras áreas de forma habitua= l	C
Supervisión y control con inteligencia artifi= cial	SIA
Supervisión y control de forma habitual<= /o:p>	S

Source	Date
Null hypothesis	All means are equal
Alternative hypothesis	Not all means are equal
Significance level	α =3D 0.05
Equal variances were assumed for the analysis

Source	DF	Adj SS	Adj MS	F-Value	P-Value
Factor	3	17.2	5.7333	7.91	0.002
Error	16	11.6	0.725
Total	19	28.8