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La inteli= gencia artificial en la enseñanza de la tecnología en electricidad

 

Artificial intelligence in= the teaching of electricity technology

 


= 1=

Wilvir Gary Murillo Encarnación

https://orcid.org/0009-0004-7773-7972

 <= /span>

Maestría en Pedagogía con mención en Formación Técnica y Profesional, Universidad = Bolivariana del Ecuador, Guayaquil, Ecuador.

wgmuri= lloe@ube.edu.ec =

= 2=

Adrián Javier Vinueza Palacios

https://orcid.org/0009-0006-6704-1853

 <= /span>

Maestría en Pedagogía con mención en Formación Técnica y Profesional, Universidad Bolivariana del Ecuador, Guayaquil, Ecuador.

ajvinu= ezap@ube.edu.ec =

= 3=

Luis Efraín Velastegui López

https:= //orcid.org/0000-0002-7353-5853

 <= /span>

Universidad Bolivariana del Ecuador,= Guayaquil, Ecuador= .

evelasteguil@ube.edu.ec

 

 

 

 

 

 

 

 

Artículo de Investigación Científica y Tecnológica

Enviado: 03/= 08/2023

Revisado: 15= /09/2023

Aceptado: 10= /10/2023

Publicado:29= /11/2023

DOI: https://doi.org/10.33262/exploradordigi= tal.v7i4.2778    

=  

 

 

 

=  

 

 

Cítese: <= /o:p>

 

&= nbsp;

Murillo Encarnación, W. G., Vinueza Palacios, A. J., & Velastegui López, L. E. (2023). La inteligencia artificial en la enseñanza de la tecnología en electricidad. Explorador Digital, 7(4), 92-108. https://doi= .org/10.33262/exploradordigital.v7i4.2778

&= nbsp;

 

<= /span>

 

 

EXPLORADOR DIGITAL, es una revista electrónica, trimestral, que se publicará en soporte electrónico tiene como misión contr= ibuir a la   formación de profesionales competentes con visión humanística 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://exp= loradordigital.org

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

 

 

 

<= /span>

 

Esta revista está protegida bajo una licencia Creative Commons Attribution Non Commercial No Derivatives 4.0 International. Copia de la licencia: http://crea= tivecommons.org/licenses/by-nc-nd/4.0/.

 

 

Pa= labras Claves:

Inteligencia artificia= l; enseñanza; tecnología en electricidad; educación; innovación; formación técnica.

 

Re= sumen

Introducción: La Inteligencia Artificial (IA) ha tenido un gran e importante impacto en la enseñanza de= la Tecnología en electricidad. Con el avance de la IA, se han desarrollado herramientas que han optimizado la forma en que los estudiantes aprenden = los conceptos asociados con la materia de electricidad. Objetivos: Se tiene como objetivo de esta investigación explorar la incidencia de la IA en la enseñanza de Electricidad en institutos tecnológicos. Para sustentar esta investigación se utilizaron estudios investigativos para la captación de información tales como artículos científicos, revistas, libros y tesis, c= on un total de 19 documentos de los últimos ocho años, con análisis y ejecuc= ión en Latinoamérica. Metodol= ogía: La metodol= ogía utilizada tiene finalidad aplicada, su alcance es descriptivo-estadístico= , se utilizarán tipo de datos de campo bajo el diseño no experimental de carác= ter transversal bajo el método científico inductivo. Resultados: El resultado de la encuesta realizada a un grupo de estudiantes = de la carrera de Tecnología en Electricidad del Instituto Superior Tecnológi= co Simón Bolívar (ISTSB) muestra que el uso de la IA para el aprendizaje de = la materia electricidad realza el interés en los estudiantes a graduarse y además mostro que las Tecnologías de la información y comunicación (TIC) = es una de las principales herramientas para afianzar estos conocimientos en docentes y estudiantes. C= onclusiones: Se concluye que los resultados de la investigación sobre= la aplicación de la IA en la educación, la planeación de estrategias para su correcto uso incentivando así al desarrollo de nuestro país, al seguir investigando para desarrollar nuevas aplicaciones de la IA en la enseñanz= a de la tecnología en electricidad. Área de estudio general: Tecnologías Emergentes. Área de estudio específica: IA en la enseñanza de Tecnología en Electricidad.

 

 

Ke= ywords: A= rtificial intelligence; teaching; electricity technology; education; innovation; technical training

 

 

 
Abstract

= Introduction: Artificial Intelligence (AI) has had a great and important impact on the teaching of Electrical Technology. With= the advancement of AI, tools have been developed that have optimized the way students learn the concepts associated with the subject of electricity. <= b>Objectives: The objective of this research is to explore the impact of AI in the teac= hing of electricity in technological institutes. To support this research, investigative studies were used to capture information such as scientific articles, magazines, books, and theses, with a total of 19 documents from= the last eight years, with analysis and execution in Latin America. Method= ology: The methodology used has an applied purpose, its scope is descriptive-statistical, type of field data will be used under the non-experimental design of a transversal nature under the inductive scientific method.

= Results: The result of the survey carried out w= ith a group of students of the Electrical Technology program at the Simón Bol= ívar Higher Technological Institute (ISTSB) shows that the use of AI for learn= ing the subject electricity enhances the interest in students to graduate and also showed that Information and Communication Technologies (ICT) is one = of the main tools to strengthen this knowledge in teachers and students. = Conclusions: It is concluded that the results of the research on the application of AI= in education, the planning of strategies for its correct use, thus encouragi= ng the development of our country, by continuing to investigate to develop n= ew applications of AI in the teaching of electrical technology.

= General study area: Emerging Technologies. Specific stu= dy area: AI in the teaching of Electrical Technology.<= /p> 

 

 

 

Introducción

La IA ha llegado pa= ra cambiar la forma en que vivimos y trabajamos por ser una fuente transformad= ora en la era digital, gracias a la facilidad de asociarse a todos los sectores de desarrollo económico en el país. El presente trabajo investigativo se focal= izará en el sector educativo; el cual está sintiendo con afectación la transforma= ción digital, democratizando los conocimientos y las aptitudes dentro & fuera del aula. Los trabajos del futuro se están orientando a tecnologías con intereses definidos para los años siguientes, por ejemplo, el análisis de datos, la ciberseguridad, Cloud y Automatización, tecnologías de mayor impa= cto, sistemas ERP (planificación de recursos empresariales) y CRM (gestión de re= lación con los clientes). Estas plataformas innovan la calidad de educación para t= odos los sectores permitiendo personalizar el aprendizaje, maximizar habilidades= y mejora las destrezas, encaminando al estudiantado a cumplir con los requerimientos= del nuevo mercado laboral que esta cercanamente vinculado al avance tecnológico, por ende, el aprovechar el abanico de beneficios para quienes aprendan a navegar en este vasto océano de oportunidades dotara de ventajas competitiv= as sostenibles.

En esta línea, los organismos internacionales han venido focalizando en los últimos años la relevancia de alfabetizar digitalmente a todos los agentes educativos para = que puedan introducir las tecnologías en sus aulas. Así, en la Agenda 2030 para= el Desarrollo Sostenible de la Organizac= ión de las Naciones Unidas (ONU, 2015). introduce un cuarto objetivo = que alude a la equidad e inclusión. Este objetivo contempla el aprovechamiento = de las tecnologías y apuesta por recursos educativos de libre acceso y la educació= n a distancia a fin de mejorar la calidad de la enseñanza. Para el logro de dicho objetiv= o, en el Consenso de Beijing (La Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO], 2019), sobre la IA y la Educación, los participantes destacan la importancia de integrar la IA en el ámbito educat= ivo que acelere la consecución de un sistema educativo abierto y equitativo. Es= to podría ser posible gracias al carácter flexible que presenta la herramienta= de IA que facilita la personalización del aprendizaje a partir de la considera= ción de las características de los/as estudiantes (Hutchins, 2017).

Con la certeza de q= ue no cabe duda, la educación es el único camino hacia el desarrollo del país,= hoy presenta el desafío importante de recuperar los niveles de aprendizaje perd= ido tras la pandemia del Covid-19, una de sus consecuencias fue el cambio radic= al de la educación superior en el mundo y en el Ecuador. Sin embargo, tres años después, el sistema educativo demuestra signos de recuperación y el deseo de fortalecer su propuesta en sintonía con las nuevas necesidades empresariale= s y con formatos híbridos de estudio. Acorde al Instituto nacional de evaluación educativa – Ineval (Ekos, 2023), los resultados obtenidos en el proceso Ser estudiante 2022 evidencia una gran pérdida de aprendizaje, reflejo de una teleducación emergente e improvisada a raíz del confinamiento provocado por= la pandemia con poca o casi nula capacitación a los docentes y un escaso acces= o a la tecnología en los hogares de toda la población.

En el ámbito de la educación superior el Consejo de Aseguramiento de la Calidad de la Educación Superior – CACES (Ekos, 2023), destaco que la pandemia cambio radicalmente = la educación superior en Ecuador, pero la calidad se ha mantenido o mejorado s= us estándares en los últimos tres años. El Consejo de Educación Superior - CES (Ekos, 2023), señalo que se han implementado 548 nuevas carreras de tercer nivel técnico-tecnológico y de grado. La academia ha entendido que la innov= ación en sus programas, alineados a las demandas actuales son el norte del crecimiento, destacando los programas relacionados con tecnologías de la información y sostenibilidad.

La academia sostiene que el futuro de la educación superior virtual en Ecuador es muy alentadora= y continua en crecimiento ya que en los centros de enseñanzas como universida= des y tecnologías poco a poco han democratizado el aprendizaje movido por la preocupación de la calidad de la educación, esto relacionado con los nuevos procesos de acreditación, se busca cumplir que las instituciones de enseñan= za de tercer nivel sean piezas claves en el desarrollo de la sociedad del siglo XXI.

Aunque a muchas personas todavía les gusta confiar en los métodos tradicionales de enseñanz= a, las posibilidades que se abren cuando la tecnología se lleva al salón de clases= son infinitas. A raíz de las crisis de la pandemia, docentes y alumnos han teni= do que adaptarse a utilizar más que nunca dispositivos electrónicos inteligent= es en el proceso formativo, lo que ha hecho que sean más permeables a los camb= ios. Se espera un gran impulso en los procesos de innovación educativa en lo que= las TIC (Tecnología de la Información y las Comunicaciones), tendrán un papel esencial, considerando que los estudiantes ya interactúan constantemente co= n la innovación tecnológica fuera del aula, mediante redes sociales, juegos de realidad aumentada, chatbots virtuales en instituciones financieras, entre otros, por lo que es lógica su integración en el aprendizaje. Además,= la tecnología educativa, a través de un enfoque sistemático de los procesos y recursos de la enseñanza, sirve para mejorar el rendimiento a su desarrollo, identificar las necesidades de los individuos y adaptar las TIC a la formac= ión. La era digital no se detiene por lo que es importante que docentes y especialistas se encuentren siempre actualizados para poder preparar a los alumnos. Ha llegado el momento de recibir las nuevas tecnologías que servir= án como base estratégica para los centros educativos. Las TIC pueden y deben s= er un gran aliado del aprendizaje, pero es necesario adaptar los programas de formación actuales para aprovecharlas al máximo.

Según el Banco Cent= ral del Ecuador BCE (Ekos, 2023), el sector TIC representa el 2.1% del PIB tota= l. En 2022, esta actividad creció en un 10.7% y se estima una tasa del 2.5% en este año, manteniendo así una tendencia creciente en su evolución por tercer año consecutivo, datos del SRI demuestran que las ventas del sector ascendi= eron a USD 5112 millones en 2022, se calcula que el uso de la IA en aplicaciones ambientales podría aportar hasta USD 5.2 billones a la economía para 2030, desde el punto de vista social un rol crucial para el sector es ser un facilitador de la inclusión digital, a través de una mayor digitalización e innovaciones, por tanto las soluciones TIC basadas en el 5G, por ejemplo, buscan ser fáciles de usar, cómodas y asequibles. Ellas aportaran a reducir= la brecha digital, el impacto del sector influye no solo en la educación, sino también en la salud, medio ambiente, construcción, automotriz, alimentos &a= mp; bebidas entre otros.

Una de las principa= les ventajas de la IA en la enseñanza de la Tecnología en electricidad es su capacidad para adaptarse a las necesidades individuales de los estudiantes = dejando atrás los métodos convencionales e invitando al uso de entornos virtuales de aprendizaje (EVA) incorporando E-learning para agregar la modalidad semipresencial y a distancia (Pastora & Fuentes, 2021). Aplicaciones co= mo ChatGPT, GitHub Copilot, Google Bard, el internet de las cosas entre otras, están captando la imaginación de personas de todo el planeta, estos sistemas de I= A resultan eficaces en analizar el nivel de conocimiento de cada estudiante y proporci= onar materiales de aprendizaje personalizados para mejorar la educación (Ouatu &= amp; Gifu, 2020).

Figura 1

Principales aplicaciones y herramientas de IA util= izadas en la web

Nota: existen diversos t= ipos de herramientas que utilizan inteligencia artificial para desempeñar determinadas tareas acorde a las necesidades del usuario<= /p>

Como se observa en = la figura 1, existen varias herramientas de IA para realizar tareas como generación de voz, de imágenes, gestión de redes sociales, simulaciones conversacionales, productividad, generación de código fuente, etc. En el contexto de la educación superior, existen herramientas útiles que se descr= iben de forma general en la tabla 1 y pueden utilizarse en la Tecnología en Electricidad.

Tabla 1

Herramientas de IA útiles en la educación superior=

Herramienta

Función

Ventajas

Desventajas

Chat-GPT

Chatbot asistente virtual general

- Buena capacidad= conversacional

- Puede generar código fuente =

- Puede generar código fuente para elabor= ar mapas mentales

- Análisis de documentos disponible solo = en versión Plus

- No tiene motor de búsqueda en versión gratuita

Google Bard<= /o:p>

Motor de Búsqueda impulsado por IA

- Motor de búsque= da Google

- Puede generar código fuente

- Análisis de imágenes por IA

- Integración con Google (Vers. Pro)

- Análisis de documentos disponible solo = en versión Pro

- Difícil integración multiplataforma

 

Tabla 1

Herramientas de IA útiles en la educación superior= (continuación)

Herramienta<= /o:p>

Función

Ventajas

Desventajas<= /o:p>

BibGuru

Generador de cita= s y referencias

- Generar citas y referencias a partir de enlaces web

- No puede subir documentos para obtener su cita referencia

Beautiful.ai=

Diseño de diapositivas

- Fácil y rápido diseño de diapositivas personalizadas por IA

- Basto repertori= o de plantillas

- No dispone vers= ión gratuita, solo dispone una versión de prueba.

cognii=

Plataforma académ= ica impulsada por IA

- Asistente chatbot para estudiantes

- Retroalimentación académica =

- Proporciona tutoría inteligente

- Integrable a plataformas de estudio

- Configuraciones limitadas a la platafor= ma de estudio

- Puede fallar en preguntas abiertas=

ChatPDF

Análisis de documentos

- Analiza documentos ubicando y referenci= ando sus páginas

- Respuestas confiables

- No puede realiz= ar tutorías

- No tiene motor = de búsqueda

Scispace

Búsqueda y anális= is de artículos

- Búsqueda multilingüe

- Potente análisis detallado de documento= s y detector de IA

- Motor de búsque= da limitado

- No realiza tutorías personalizadas=

Dialog Flow<= /o:p>

Chatbot configura= ble

 - Crear chatbots integrables a plataformas como Moodle

- Útil como asist= ente académico

- Para mayor asistencia de resúmenes requer= iría mayor complejidad de configuración

Nota: descripción y comparación de 8 herramientas de inteligencia artificial que pueden benefic= iar la formación superior.

En la tabla anterio= r se puede apreciar la versatilidad que ofrecen las herramientas impulsadas por = IA con sus respectivas ventajas y desventajas. Se pueden destacar Chat-GPT, Cognii, Scispace y Dialog Flow, que son las que mejor podrían aprovecha= rse en sistemas de gestión de aprendizaje (Learning Management System – LMS) como Moodle.

Además, la IA permi= te el desarrollo de simulaciones, aplicaciones de sistemas de energía (Xiao et= al, 2021; Lie, 2021), y laboratorios virtuales que brindan a los estudiantes la oportunidad de experimentar y practicar en un entorno seguro. Estas simulaciones pueden ayudar a los estudiantes explorar diferentes escenarios= y realizar experimentos sin los riesgos asociados con la electricidad real. O= tra forma en que la IA ha impactado la enseñanza de la Tecnología en Electricid= ad es a través de los chatbots y asistentes virtuales (Hamam, 2021). Es= tos sistemas pueden responder preguntas de los estudiantes de manera instantáne= a y eficaz (Vanichvasin, 2021), que además pueden brindar apoyo adicional fuera del au= la.

El uso de estas herramientas y aplicaciones favorecen el estudio y desarrollo de la Industr= ia 4.0, que según Mayorga (2022):

Es un término que se usa para describir a la cuarta revolución industrial, que consiste en la digitalización de los procesos industriales por medio de la interacción de la IA con las máquinas y la optimización de recursos enfocad= os en la creación de efectivas metodologías comerciales. Las distribuidoras eléctricas no son la excepción de esta revolución, se han invertido importa= ntes recursos a nivel mundial en el desarrollo de las Redes Inteligentes (Smart Grids) y las TIC permitiendo elevar la eficiencia de las distribuidoras en = la forma de abastecer y distribuir sus servicios y a la vez crear nuevos model= os de operación. (p.103)

La integración de l= a IA en la educación puede facilitar itinerarios de aprendizaje personalizables y bajo demanda, para adquirir habilidades necesarias para la industria 4.0 en= el contexto de la Tecnología en Electricidad. Sin embargo según Hutson & Ceballos (2023), es importante lograr un equilibrio entre el aprendizaje impulsado por la IA y las interacciones tradicionales entre estudiantes y profesores para garantizar el desarrollo de habilidades blandas junto con l= as habilidades específicas de cada materia. Estas habilidades específicas se relacionan con los sistemas inteligentes, hiperconectividad, internet de las cosas (IoT) y el Big Data, lo cual puede observarse en la figura 2 y= cómo se contrasta respecto a las anteriores revoluciones industriales.

Figura 2

Características de las revoluciones industriales

Nota: La Industria 4.0, = en auge a nivel global, caracterizada por la integración de la gestión de datos para la automatización inteligente, predicción y desarrollo sostenible. La iluminación dentro de la industria 4.0

Fuente:<= span style=3D'font-size:10.0pt;line-height:115%;font-family:"Times New Roman",se= rif; mso-fareast-font-family:Roboto;mso-ansi-language:ES-EC'> Arellano (2021)

Sin embargo, es importante tener en cuenta que la IA no reemplaza la labor del humano y des= de el enfoque educativo al profesor (Felix, 2020). Aunque la IA puede ser una herramienta valiosa en la electricidad de campo en sus dos alternativas: Sistemas de potencia o Sistemas de automatización industrial, de igual modo= lo es en el aula, la interacción humana sigue siendo fundamental para el aprendizaje efectivo. Los profesores desempeñan un papel crucial al proporcionar orientación, motivación y retroalimentación a los estudiantes.= Con ayuda de la IA los instructores pueden mejorar la personalización de la educación (Sekeroglu et al., 2019).

El objetivo principal es explorar la incidencia de la IA en la enseñanza de Electricidad en institutos técnicos. En específico, los benefi= cios y desafíos que enfrenta la enseñanza de Electricidad en institutos tecnológ= icos como el ISTSB: mejora conceptual, retroalimentación personalizada y adaptac= ión de docentes y estudiantes, de quienes se requiere ética y responsabilidad en su implementación sin descuidar el desarrollo de la inteligencia natural que debe utilizar la IA como herramienta de apoyo (Renz & Vladova, 2021; Mozer et al., 2019).

Metodología

El tipo de investigación científica tiene finalidad aplicada, ya que se busca obtener información necesaria para poder desarrollar estrategias y llevarlas a cabo mediante la integración de IA en el contexto de la carrera de Tecnología en Electricida= d. Su alcance es descriptivo debido a que se recopilan datos numéricos y estadíst= icos a través de una encuesta realizada a un grupo de estudiantes para medir la actitud de los estudiantes de la carrera hacia la inteligencia artificial. = La fuente de datos es de campo ya que fueron obtenidos mediante un formulario digital que fue socializado en las aulas. Su diseño es no experimental pues= to que es de carácter transversal al tratarse de una medición única de la acti= tud de los estudiantes hacia la IA al momento de ser encuestados.

Se utiliza el método científico inductivo al recopilar datos y observar patrones o tendencias pa= ra poder armar juicios de valor y conocimiento útil, en este caso para determi= nar la factibilidad de integrar la IA en el contexto de la carrera.<= /span>

En el ISTSB existen 302 estudiantes de la carrera = de Tecnología en Electricidad en el periodo 1S2023, cifras que fueron proporcionadas por parte del coordinador de la carrera de quien se obtuvo además la autorización mediante carta de consentimiento informado pa= ra llevar a cabo la encuesta de 10 preguntas para evaluar la actitud estudiant= il hacia la IA, que fue socializada presencialmente en los salones de clase y realizada a través de formulario digital online. De las 10 preguntas se tom= aron 2 preguntas que se relacionan estrechamente con el contexto de la carrera.<= o:p>

Para obtener result= ados claros y precisos sobre su actitud hacia la inteligencia artificial como herramienta para el aprendizaje de la carrera y aplicación en el campo labo= ral, se consideró una distribución de probabilidad normal central reducida con un nivel de confianza del 95% y un error máximo tolerable de 5%, lo que determ= ina un tamaño de muestra de 170 estudiantes.

Resultados  

Luego de encuestar a los 170 estudiantes se realiz= ó el correspondiente análisis estadístico descriptivo y se observó que en términ= os generales existe una actitud positiva hacia la inteligencia artificial. Los resultados se pueden apreciar a continuación en la tabla 2.

Tabla 2

Interés y actitud de los estudiantes de tecno= logía en electricidad hacia la inteligencia artificial

ID

Preguntas=

TD

PD

I

PA

TA

P1

¿Crees que la IA es útil en la vida diaria?

= 4

= 18

= 29

= 70

= 49

*<= /b>P2

¿Crees que la IA puede mejorar el aprendizaje= de la Tecnología en Electricidad?

= 2

= 7

= 18

= 81

= 62

*<= /b>P3

¿Crees que la Inteligencia Artificial puede s= er una herramienta útil para resolver problemas en el campo de la Tecnología= en Electricidad?

= 9

= 16

= 39

= 70

= 36

P4

¿Estás interesado en la IA y sus posibilidade= s?

= 0

= 4

= 16

= 59

= 91

P5

¿Crees que la IA reemplazaría los trabajos relacionados a la Tecnología eléctrica?

= 48

= 58

= 39

= 15

= 10

P6

¿Te gustaría probar las herramientas más conocidas de IA?

= 2

= 9

= 27

= 77

= 55

P7

¿Crees que usar IA en las clases presenciales sería interesante?

= 5

= 18

= 34

= 68

= 45

P8

¿Crees que la IA presenta riesgos de veracida= d en la adquisición de información?

= 13

= 34

= 23

= 63

= 37

P9

¿Crees que la IA influirá la vida como se con= oce actualmente?

= 4

= 18

= 30

= 70

= 48

P10<= /o:p>

¿Crees que la IA tendrá suficiente aceptación= en el futuro?

= 2

= 9

= 25

= 79

= 55

Nota: resultados de la encuesta. Clasificación de respuestas: TD =3D Total desacuerdo; PD =3D Parcial desacu= erdo; I =3D Indiferencia; PA =3D Parcial acuerdo; TA =3D Total acuerdo.

Para efectos del caso las preguntas de interés son= las P2 y P3 que se muestran en la
tabla 1 son las más relevantes respecto al aprendizaje de tecnología en Electricidad y su utilidad en el campo profesional. Puede notarse que 143 estudiantes tienen una actitud positiva en que la inteligencia artificial es una herramienta útil para mejorar el aprendizaje de su carrera, mientras que 106 consideran buena su utilidad para resolver problemas en el campo de la electricidad. En la tabla 3 se ilustra específicamente la proporción de los niveles de actitud registrados en la encuesta para ambas preguntas.

Tabla 3

Actitud de los estudiantes de Tecnología en Electricidad hacia la Inteligencia Artificial como herramienta de estudio= y trabajo

ID

Preguntas=

TD

PD

I

PA

TA

P2

¿Crees que la IA puede mejorar el aprendizaje= de la Tecnología en Electricidad?

1.18%

4.12%

10.59%

47.65%

36.47%

P3

¿Crees que la Inteligencia Artificial puede s= er una herramienta útil para resolver problemas en el campo de la Tecnología= en Electricidad?

5.29%

9.41%

22.94%

41.18%

21.18%

Nota: Representación de proporci= ones porcentuales de las preguntas sobre la actitud hacia la IA relacionadas en = el contexto de la carrera de Tecnología en Electricidad.

Puede notarse que existe una amplia aceptación por parte de los estudiantes encuestados acerca de utilizar la IA como herramienta de estudio y trabajo. Esto se aprecia mejor en la figura 1 y figura 2 que muestran las proporcion= es actitudinales de forma visual.

Figura 3

Actitud acerca de la IA = para mejorar el aprendizaje en la carrera de Tecnología en Electricidad

Nota: la gráfica de barras junt= o a la gráfica de pastel indica las proporciones de actitud positiva hacia el u= so de la IA como herramienta de estudio.

En la figura 3 se indica que el 84.12% de los estudiantes encuestados presenta= una actitud a favor de la IA como herramienta de aprendizaje en el campo de la Tecnología en Electricidad, de los que solo el 36.47% está totalmente de acuerdo en que la inteligencia artificial puede mejorar el aprendizaje de la carrera.

                                                 =                Figura 4      

Actitud acerca de la IA = como herramienta para resolver problemas en el campo de la Electricidad

Nota: la gráfica de barras junt= o a la gráfica de pastel indica las proporciones de actitud positiva hacia el u= so de la IA como herramienta de trabajo.

En la figura 2 se indica que el 62.35% de los estudiantes encuestados presenta= una actitud a favor de la IA como herramienta para resolver problemas en el cam= po de la Tecnología en Electricidad, de los que solo el 21.18% está parcialmen= te de acuerdo en que la inteligencia artificial puede ser útil en el entorno laboral de su carrera.

Discusión

En términos generales los resultados revelan que la mayoría de los estudiantes encuestados de la carrera de Tecnología en Electricidad presenta una clara inclinación a favor de la inteligencia artificial. Estos datos a su vez permiten inferir que el alumnado al estar muestra interesado en probar las principales herramientas actuales y las posibilidades que ofrecen, considera que la inteligencia artificial es relevante en el uso cotidiano y que, a pe= sar de los riesgos de veracidad que implica la adquisición de información, igualmente tendrá bastante influencia y aceptación a futuro.

Respecto a la educación se observa que también les gustaría usar IA en las clases y = consideran que esta mejoraría el aprendizaje de su carrera, que además les serviría pa= ra resolver problemas típicos en el ejercicio de su profesión sin perjudicar notablemente su empleabilidad. Esto sugiere que debe fomentarse un uso adec= uado de las herramientas de IA en la formación académica y laboral, que según Ve= ra (2023), es crítico que los docentes y las Instituciones de Educación Superi= or la utilicen de manera responsable, ética y transparente, considerando tanto= los beneficios como los riesgos potenciales, para garantizar una educación equitativa y de calidad para todos los estudiantes.

Es preciso que el estudiante o profesional las utilice a conciencia y con crit= erio para validar la confiabilidad, además de actualizarse constantemente en adquirir nuevas competencias y habilidades blandas a medida que surjan nuev= as necesidades para mantenerse vigentes en el mercado laboral. Asimismo Aparic= io (2021, como se citó en Tomalá et al., 2023) sostiene que la automatización y la interacción humana deben equilibrarse apropiadamente en la educación, ya que esta última también implica la formación de habilidades sociales y emociona= les.

Si bien los resultados presentan una inclinación a favor de la IA como herrami= enta de aprendizaje y trabajo, debe tenerse en cuenta que este análisis fue realizado en el área de estudio de la Tecnología en Electricidad y no representa la común actitud de todo el alumnado del Instituto Superior Tecnológico Simón Bolívar, por lo que como sugiere Jalón et al. (2022), es preciso diseñar un experimento de mayor alcance para obtener resultados generalizados; que en este caso incluiría todas las carreras del ISTSB.

A pesar del reducido alcance de este estudio, se puede determinar que existe = una apertura e interés en los estudiantes por el uso de IA en la carrera de Tecnología Eléctrica, por lo que da lugar a la posibilidad de integrarla con cierta rapidez a su pensum académico y al perfil profesional.

Conclusiones<= /b>

·&nb= sp;        La IA es una herramienta poderosa que puede mej= orar significativamente la enseñanza de la Tecnología en Electricidad. Los estudiantes pueden aprender de manera más efectiva, comprender mejor los conceptos complejos y complementarlos gracias a un chatbot<= span style=3D'font-size:12.0pt;mso-bidi-font-size:10.0pt;line-height:115%;mso-an= si-language: ES-EC;mso-bidi-font-weight:bold;mso-bidi-font-style:italic'> entrenado como asistente virtual de cátedra. Puede ayudar a los educadores a personalizar = la enseñanza para cada estudiante, lo que puede mejorar la retención de inform= ación y el rendimiento académico. Al adaptar el contenido y el ritmo de aprendiza= je a las necesidades individuales de cada estudiante, la IA puede ayudar a maxim= izar el potencial de cada uno.

·&nb= sp;        Con el uso de la IA se puede facilitar la identificación de áreas de mejora en la enseñanza de la Tecnología en Elect= ricidad. Al analizar los datos de los estudiantes se pueden encontrar patrones y tendencias relacionadas al aprendizaje técnico necesario que pueden ayudar a los educadores a mejorar su enfoque de enseñanza y a los estudiantes en des= arrollar nuevas estrategias de aprendizaje.

·&nb= sp;        La IA es una tecnología en constante evolución = que tiene el potencial de transformar la educación y la forma en que los estudiantes aprenden. Al seguir investigando y desarrollando nuevas aplicaciones de la IA en la enseñanza de la tecnología en electricidad, se puede continuar mejorando la calidad de la educación y preparar a los estudiantes para el futuro.

·&nb= sp;        Es claro que la IA está en auge como herramienta accesible para todos. Es importante comprender que, aunque por el momento resulta innovadora su integración en la educación, en un futuro no muy leja= no será un requisito en las técnicas de estudio como en las habilidades labora= les, por lo que el cuerpo docente tendrá que capacitarse pertinentemente en el u= so e integración de herramientas basadas en IA y en el entrenamiento de habilida= des blandas para responder a las necesidades de los estudiantes durante su curs= o de la carrera.

·&nb= sp;        La integración de IA en la carrera de Tocología= e Electricidad conlleva una aceleración en el diseño y automatización de sist= emas eléctricos, ya que con ayuda de un chatbot inteligente se puede generar rápidamente = código fuente y diagramas LADDER para facilitar o acelerar la configuración de automatismos industriales e inmótica. Por lo que dominar el uso de esta herramienta se vuelve imprescindible para la profesionalización de los estudiantes de Tecnología en Electricidad.

Conflicto de intereses

Los autores deben declarar si existe o no conflicto de intereses en relación co= n el artículo presentado.

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http://arxiv.org/abs/2110.00931<= span lang=3DEN-US style=3D'font-size:12.0pt;line-height:115%;mso-ansi-language:E= N-US'>  

 

 

 

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= ISSN: 2661-6831

= Vol. 7 No. 4, pp. 92 – 108, oct= ubre-diciembre 2023

www= .exploradordigital.org

 

 

 

 

                 Rendimiento Académico  =      Página 92 | 108

 

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