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La inteligencia artificial en la educación super= ior

Artificial intelligence in higher education

3D"Interfaz

= ¹	Lourdes Virginia O= rtiz Velasco	https://orcid.org/..
	Escuela Po= litecnica del Ejercito (ESPE), Ambato, Ecuador lvortiz2@e= spe.edu.ec Universida= d de las Fuerzas Armadas Espe.
= ²	Víctor Hugo Ortiz Velasco	https://orcid.org/...
	I= nvestigador independiente vhov15ag@hotmail.com

	Artículo de Investigación Científica y Tecnológi= ca Enviado: 22/12/2023 Revisado: 23/01/2024 Aceptado: 06/02/2024 Publicado:01/03/2024 DOI: https://d= oi.org/10.33262/concienciadigital.v7i1.2.2928 =
<= span style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New Roman",= serif; mso-fareast-font-family:"Times New Roman";color:blue;mso-fareast-language: ES'> <= /u>
Cítese:		&= nbsp; Ortiz Velasco, L. V., & Ortiz Velasco, V. H. (2024). La inteligencia artifi= cial en la educación superior. ConcienciaDigital, 7(1.2), 115-131. https://d= oi.org/10.33262/concienciadigital.v7i1.2.2928
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Palabr= as claves: Inteligencia artificial, educación, habilidades, investigación, estudiantes=	&= nbsp;	Resumen Introducción: La educación es solo una de las muchas cosas = que la inteligencia artificial (IA) puede cambiar. La inteligencia artificial (IA) ha emergido como una herramienta poderosa que está revolucionando la enseńanza y la educación en la era digital actual. Este artículo analizará los diferentes softwares en inteligencia artificial en la educación y cómo está cambiando la educación en todos los niveles. Objetivo: Examinaremos cómo la IA está cambiando la for= ma en que adquirimos conocimientos y habilidades, en el proceso enseńanza aprendizaje en el desarrollo de recursos interactivos. Metodología: La investigación ha examinado publicaciones so= bre la Inteligencia Artificial aplicada en la educación entre 2013 y 2023 y ha utilizado una metodología de investigación descriptiva no experimental. E= sta estrategia se basa en la realización de un análisis de la producción científica y su evolución a partir de una variedad de criterios estableci= dos. Conclusión: = Podemos decir que la IA puede mejorar la educa= ción al ofrecer nuevas formas de enseńanza personalizada y retroalimentación instantánea para todos los estudiantes. Sin embargo, para lograr una adop= ción efectiva de la IA en la educación, se deben superar algunos desafíos, com= o la falta de datos adecuados, la resistencia al cambio y la falta de interpretabilidad. Además, la IA tiene la capacidad de hacer que la educa= ción sea más accesible para todos los estudiantes, incluidos aquellos con discapacidades y aquellos que no tienen acceso a recursos educativos de a= lta calidad.
Keywor= ds: Inteligencia artificia= l, educación, habilidades, investigación, estudiantes.	&= nbsp;	Abstract Introduction: Education is just on= e of the many things that artificial intelligence (AI) can change. Artificial intelligence (AI) has emerged as a powerful tool that is revolutionizing teaching and education in today's digital age. This article will analyze = the different artificial intelligence software in education and how it is changing education at all levels. Objective: We will examine how A= I is changing the way we acquire knowledge and skills, in the teaching-learning process in the development of interactive resources. Methodology: = The research has examined publications on Artificial Intelligence applied in education between 2013 and 2023 and has used a non-experimental descripti= ve research methodology. This strategy is based on carrying out an analysis = of scientific production and its evolution based on a variety of established criteria. Conclusion: We can say that AI can improve education by offering new ways of personalized teaching and instant feedback for all students. However, to achieve effective adoption of AI in education, some challenges must be overcome, such as lack of adequate data, resistance to change, and lack of interpretability. Additionally, AI has the ability to make education more accessible for all students, including those with disabilities and those who do not have access to high-quality educational resources. &= nbsp;

Introducción

La sociedad del conocimiento requiere cambios en= los sistemas educativos para preparar a los jóvenes para los escenarios académico-laborales del futuro. Esto se debe a la transformación digital relacionada con la cuarta revolución industrial o revolución tecnológica. La interconexión inteligente de varias tecnologías digitales, como la impresión 3D, la inteligencia artificial y el internet de las cosas, es una caracterí= stica distintiva de esta revolución. De esta manera, surge el paradigma de la educación 4.0, que busca evitar las desigualdades en el desarrollo social y fomenta el autoaprendizaje a través de la reflexión en un contexto formativo apoyado por la tecnología y su aprovechamiento para trabajar los contenidos educativos.

En esta línea, en los últimos ańos, los organism= os internacionales han venido poniendo el foco en la importancia de que todos = los agentes educativos se alfabeticen digitalmente para que puedan implementar = las tecnologías en sus aulas. Por lo tanto, la ONU incluye un cuarto objetivo relacionado con la equidad y la inclusión en la Agenda 2030 para el Desarro= llo Sostenible (2015). Para mejorar la calidad de la enseńanza, este objetivo incluye el uso de la tecnología y el apoyo a la educación a distancia y los recursos educativos de libre acceso (UNESCO, 2016). En el Consenso de Beiji= ng (2019) sobre la Inteligencia Artificial (IA) y la Educación (2015), los participantes destacaron la importancia de integrar la IA en el ámbito educativo para lograr un sistema educativo abierto y justo. Esto es posible gracias a la flexibilidad que ofrece la herramienta de IA, que facilita la personalización del aprendizaje a partir de la consideración de las caracte= rísticas de los/as estudiantes.

Sin embargo, Williams et al. (2019), en su estud= io que propuso un plan específico para la formación en IA con los estudiantes = de educación infantil, destacaron que es posible comenzar a utilizar la IA des= de esta etapa temprana, ya que los estudiantes pueden comprender los conceptos= de IA e interactuar con la herramienta a pesar de su edad temprana. Sin embarg= o, según León y Vińa (2017), aunque la IA podría alterar la forma en que un maestro enseńa y cómo los estudiantes aprenden, es importante recordar que = el objetivo principal debe ser el aprendizaje significativo. La enseńanza de l= os aspectos éticos para que los estudiantes los tomen en cuenta en sus diseńos= es otro desafío en la enseńanza de la IA. Por lo tanto, es importante que las instituciones educativas consideren sus prácticas educativas y creen espaci= os de enseńanza adaptables que incluyan el uso de la IA.

Según Gisbert y Esteve (2011), es necesario rediseńar los métodos educativos para que los estudiantes universitarios aprendan a usar la alfabetización digital a lo largo de todo el curso. Esto permitirá que los estudiantes desarrollen las habilidades, conocimientos y actitudes necesarias para usar las TIC. Sin embargo, Martín y Grudziecki (2= 015) seńalan que las habilidades, actitudes y conceptos quedarían relegados al n= ivel inicial de la alfabetización digital.

La falta de igualdad y acceso a la educación sup= erior son dos obstáculos importantes para la implementación de la IA en la educac= ión superior. Aunque la IA puede democratizar el acceso a la educación al ofrec= er un gran número de estudiantes oportunidades de aprendizaje en línea, existe el riesgo de que solo aquellos con acceso a la tecnología y los recursos adecu= ados puedan beneficiarse plenamente de ella. Esto podría aumentar las disparidad= es en la educación entre estudiantes de diferentes áreas, niveles socioeconómi= cos y habilidades tecnológicas. <= /o:p>

Por lo tanto, es esencial garantizar que todos l= os estudiantes tengan la oportunidad de acceder y aprovechar los beneficios de= la IA al incorporarla en la educación superior. La ética y la privacidad son o= tros problemas importantes cuando se implementa la IA en la educación superior. =

El uso de algoritmos de IA para el análisis y la toma de decisiones, así como la recopilación masiva de datos, plantea preocupaciones sobre la privacidad y la seguridad de la información de los estudiantes. Según el profesor Michael Sandelde de la Facultad de Derecho d= e la Universidad de Harvard, la IA plantea tres cuestiones éticas principales pa= ra la sociedad: privacidad vs. vigilancia, sesgo vs. discriminación y, posiblemente, la pregunta filosófica más profunda y difícil de la era: el p= apel del juicio humano.

El uso de algoritmos de IA para evaluar y califi= car a los estudiantes también puede generar cuestionamientos éticos sobre la justicia y la imparcialidad en la evaluación de su desempeńo académico. Por= lo tanto, es fundamental establecer políticas y regulaciones claras para prote= ger la privacidad y la ética del uso de la IA en la educación superior y promov= er una reflexión crítica y moral sobre cómo la tecnología afecta el proceso educativo. Además, la incorporación de la inteligencia artificial en la educación superior presenta múltiples posibilidades.

La personalización del aprendizaje es una de las oportunidades más destacadas. En realidad, la IA tiene la capacidad de adap= tar el proceso de enseńanza-aprendizaje a las necesidades y preferencias de cada estudiante, ofreciendo recursos y actividades de aprendizaje adaptados a su nivel de conocimientos, estilo de aprendizaje y ritmo de progreso. Esto per= mite a nuestros estudiantes tener una experiencia de aprendizaje más individuali= zada y significativa, lo que puede mejorar su motivación y compromiso con el estudio.

La inteligencia artificial en la educación superior

La inteligencia artificial es un campo de la cie= ncia relacionado con la creación de computadoras y máquinas que pueden razonar, aprender y actuar de una manera que normalmente requeriría inteligencia hum= ana o que involucre datos cuya escala exceda lo que los humanos pueden analizar= .

La IA es un campo amplio que abarca muchas disciplinas diferentes, incluidas la informática, el análisis de datos y las estadísticas, la ingeniería de hardware y software, la lingüística, la neurociencia y hasta la filosofía y la psicología.

Figura 1.

Beneficios de la IA=

Fuente: (Google, 2023)

Tabla 1

Programas o Aplicaciones más populares con inteligencia artificial

Aplicación/programa	Descripción=	Características	Desventajas=
	Es una de las mejores herramientas de intelige= ncia artificial para crear contenido, permitiendo a los redactores generar ide= as, redactar textos y optimizar el flujo de trabajo.	Facilita la interacción y comprensión del lenguaje natural Asistencia en la redacción Creación de chatbots inteligentes	Falta de interacción humana<= /p> Posibles sesgos y errores Información limitada en el tiempo
	Es un sistema conversacional, destinado a fusi= onar búsqueda tradicional y generación de respuestas contextuales basadas en diálogo.	Está conectado constantemente a la red La información está constantemente actualizada= y responde a la realidad del momento.	Todavía está en desarrollo, por lo que puede no ser tan confiable. = (Pineda, 2023)
	Es una herramienta de inteligencia artif= icial para crear imá= genes. Con la capacidad de generar imágenes a parti= r de descripciones textuales	Creación de ilustraciones únicas Generación de material gráfico para campańas de marketing	La calidad de los gráficos es baja para algunos consejos Dall-e puede crear imágenes dańinas. = (Shin Kan, 2023)
	Capacidad de transformar descripciones textual= es en imágenes, lo que logra gracias a algoritmos avanzados y técnicas de aprendizaje automático.	Potencial para generar imágenes precisas, detalladas y de excelente resolución Se adapta tanto a profesionales como a aficionados, aportando una experiencia de usuario bastante directa y accesible	Las imágenes generadas son de dominio público<= o:p> Bajo control de calidad. = (Keytrends, 2023)

Tabla 1

Programas o Aplicaciones más populares con inteligencia artificial (continuación)

Aplic= ación/programa	Descripción=	Características	Desventajas=
Fireflies	Especialmente creada para grabar y transcrib= ir conversaciones, es una herramienta muy útil para las conversaciones en tiempo real.	Se integra fácilmente con aplicaciones popular= es como google meet, zoom y teams webex	Dependencia de la tecnología Posible falta de precisión en la transcripción= Limitaciones en la versión gratuita. = (Hassan, 2023)
	Es un asistente de escritura online con la mis= ión de mejorar textos por medio de la inteligencia artificial.	Capacidad de revisar gramática, ortografía y puntuación Además de verificar el plagio Generador de citas y revisión de ensayos.=	Puede resultar invasivo Consume muchos recursos. = (Fuentes, 2023)
	Es una herramienta ia para la separación music= al y eliminación de voces	Muy útil para extraer música instrumental de archivos Facilita la extracción de elementos de audio de cualquier archivo	Coste: aunque lalal.ai ofrece un paquete gratu= ito, los paquetes de pago pueden ser costosos. = (Santos, 2023)
	Se especializa en computación numérica y apren= dizaje automático a gran escala.	Creación y visualización intuitiva de modelos desde cero con tensorboard Detección de patrones y emulación del aprendiz= aje humano.	El código obtenido era muy extenso, poco intui= tivo y difícil de entender. = (Sotaquirá, 2020)

Fuente: (Domínguez, 2023)

Tabla 2

Herramientas IA para estudiantes

Aplicación/programa	Descripción	Características	Desventajas
	Brainly es una herramienta de ia que permite a= los estudiantes hacer preguntas y obtener respuestas de otros estudiantes y expertos en la materia en cuestión.	Tiene una versión gratuita y una versión pro.<= o:p> Posee su propio teclado para agregar fórmulas.= Puedes realizar las preguntas en el área que desees	Publicidad = ;
	Es una herramienta de reconocimiento de voz qu= e te permite transcribir hasta 160 palabras por minuto	Permite dictar en espańol o en inglés, indistintamente	En ocasiones aparecen palabras fuera de contex= to que pueden crear expresiones muy cómicas. = (Serrahima, 2023)
	Es una herramienta de ia que proporciona respuestas a preguntas en diversas áreas, como matemáticas, ciencia y tecnología.	Comprenden lenguaje natural Resolución de problemas Visualización de datos Cálculos interactivos	Algunas respuestas pueden ser demasiado técnicas o complejas No siempre proporciona una respuesta directa a la pregunta del usua= rio. (Patel, 2023) = ;
	Es una herramienta de ia que te ayuda a mejora= r tu comprensión lectora y tu expresión escrita.	Disponible para los estudiantes en cualquier momento que lo necesiten y en cualquier lugar Comprender las respuestas escritas por los estudiantes de muchas maneras diferentes. = (Suarez, 2022)	Precio

Tabla 2

Herramientas IA para estudiantes (continuación)<= o:p>

Aplicación/programa	Descripción=	Características	Desventajas=
	Es una herramienta de IA que te ayuda a memori= zar información (especialmente vocabulario) de forma divertida y eficiente.	Combinan contenidos entretenidos con metodolog= ías científicamente probadas para crear una plataforma de aprendizaje atracti= va y eficaz.	Disponibilidad por la alta demanda de uso=
	Esta aplicación de aprendizaje de idiomas util= iza la IA para personalizar la experiencia de aprendizaje de cada usuario.&nb= sp;	Funciona mediante el proceso de aprendizaje autodidacta Lecciones por niveles para que adquieran vocabulario y mejoren sus habilidades comunicativas.	Los ejercicios de aprendizaje pueden llegar a ser repetitivos. No ofrece asesoría para los usuarios por parte de profesores o profesionales del á= rea. = (Peréz, 2023)
	Es una herramienta de ia que te ayuda a aprend= er cualquier materia de forma personalizada y dinámica. C<= /p>	Sigue la interacción de los alumnos en la computadora desde el movimiento del cursor, hasta la cantidad de clics, localizando patrones programados por neuropsicólogos, desde el campo de las neurociencias

Fuente: (Alvarado, 2023)

Figura 2

La IA en educación superior

Fuente: (Alvarado, 2023)

Metodología del estudio

La investigación ha examinado publicaciones sobr= e la Inteligencia Artificial aplicada en la educación entre 2013 y 2023 y ha utilizado una metodología de investigación descriptiva no experimental.

Esta estrategia se basa en la realización de un análisis de la producción científica y su evolución a partir de una varieda= d de criterios establecidos (González et al., 2020). Los criterios cuantitativos= y descriptivos importan temas como el campo de conocimiento donde se indexan = las publicaciones, el ańo en que se publican o la autoría. A su vez, investigaciones anteriores han validado la utilidad y eficacia de los estud= ios bibliométricos.

Datos estadísticos sobre la inteligencia artificial

żSabes cuándo el contenido está escrito por inteligencia artificial?

Forbes Advisor preguntó a los consumidores si pu= eden distinguir entre el contenido generado por humanos y el contenido creado por IA. (Haan, 2023)

Figura 3

Contenido está escrito por inteligencia artifici= al

Fuente:= (Haan, 2023)

·&nb= sp;        Más del 40% afirma querer utilizar inteligencia artificial para responder mensajes de t= exto

·&nb= sp;        Más del 40% utilizaría inteligencia artificial para obtener asesoramiento financiero

·&nb= sp;        La mayoría de los consumidores seguirían confiando en una empresa que utilice inteligencia artificial. (Haan, 2023)

Figura 4

Nivel de preocupación po= r la pérdida de empleo humano debido a la inteligencia artificial

Fuente: (Haan, 2023)

La encuesta destaca una preocupación significati= va entre los consumidores con respecto al impacto potencial de la IA en el emp= leo. A la mayoría de los encuestados (77%) les preocupa que la IA provoque la pérdida de empleo en los próximos 12 meses. El cuarenta y cuatro por ciento dijo estar muy preocupado, mientras que el 33% está algo preocupado. El tre= ce por ciento no estaba ni preocupado ni despreocupado, y un 10% combinado est= aba algo o muy despreocupado.

Estos resultados sugieren que, a medida que la I= A se integra más en diversas industrias, el miedo al desplazamiento del empleo presenta una preocupación importante. Según lo que encontró nuestra encuest= a, estrategias como programas de recapacitación, apoyo a la transición laboral= e iniciativas educativas podrían desempeńar un papel para abordar estas preocupaciones y ayudar a los trabajadores a adaptarse al cambiante panorama laboral. (Haan, 2023)

Figura 5

żUsarías ChatGPT en luga= r de Google?

Fuente: (Haan, 2023)

Esta tendencia destaca el potencial de los model= os de lenguaje de IA para revolucionar la forma en que las personas buscan e interactúan con información en línea. También sugiere que las empresas tal = vez quieran considerar invertir en soluciones impulsadas por IA para brindar una experiencia de usuario más personalizada y eficiente. (Haan, 2023)

Figura 6

La form= a más común en que los consumidores planean utilizar la inteligencia artificial

Fuente: (Haan, 2023)

Estos descubrimientos demuestran la amplia gama = de aplicaciones de IA y su capacidad para marcar una diferencia positiva en múltiples áreas de nuestras vidas. A medida que la IA evoluciona, estamos preparados para ver nuevas formas de abordar temas complejos, así como form= as más eficientes de hacer las cosas cotidianas. (Haan, 2023)

Conclusiones

·&nb= sp;        Técnicas com= o el aprendizaje automático, el procesamiento del lenguaje natural, la minería de datos, los sistemas multiagente, las redes neuronales, la lógica difusa y l= os sistemas bayesianos han ayudado avanzar la investigación en IA en la educac= ión. Estas estrategias se utilizan para personalizar el aprendizaje, la evaluaci= ón automatizada, la tutoría inteligente y la detección temprana de problemas de aprendizaje.

·&nb= sp;        Una de las á= reas más importantes de la investigación en IA en educación es la personalización del aprendizaje, que adapta el contenido de aprendizaje a las necesidades y características individuales de cada estudiante. La evaluación automatizada también es una técnica útil que puede ahorrar tiempo y hacer que las evaluaciones sean más objetivas.

·&nb= sp;        La inteligen= cia artificial generativa tiene muchas aplicaciones en el ámbito educativo, incluida la creación de contenido educativo, la creación de chatbots educativos, la ayuda en la escritura de ensayos y la adaptación del aprendi= zaje a las necesidades de cada estudiante.

·&nb= sp;        Podemos decir que la IA puede mejorar la educación al ofrecer nuevas formas de enseńanza personalizada y retroalimentación instantánea para todos los estudiantes. S= in embargo, para lograr una adopción efectiva de la IA en la educación, se deb= en superar algunos desafíos, como la falta de datos adecuados, la resistencia = al cambio y la falta de interpretabilidad. Además, la IA tiene la capacidad de hacer que la educación sea más accesible para todos los estudiantes, inclui= dos aquellos con discapacidades y aquellos que no tienen acceso a recursos educativos de alta calidad.

·&nb= sp;        La IA no pue= de reemplazar a los maestros humanos; en cambio, puede servir como una herrami= enta útil para mejorar el proceso de enseńanza y mejorar el aprendizaje de los e= studiantes.

Conflicto de intereses

Los auto= res declaran no tener conflicto de interés

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Peréz, A. (14 de Enero de 2023). Internetastic. Obtenido de https://www.internetastic.com/duolingo/

Pineda, = G. (17 de Julio de 2023). Another. Obtenido de https://blog.another.co/blog/chatgpt-vs-google-bard-ventajas-y-desventaja= s-de-una-contra-la-otra

Santos, = R. (6 de Agosto de 2023). SerchAI. Obtenido de https://serchai.com/es/lalal-ai-opinion/

Serrahim= a, L. (10 de Septiembre de 2023). La linterna del tradcutor - La revista Multilingue de asetrad . Obtenido de https://lalinternadeltraductor.org/n5/dragon-naturally-speaking.html=

Shin Kan= , A. (28 de Marzo de 2023). Prompts para IA. Obtenido de https://prompt.uno/inteligencia-artificial/que-esperar-al-crear-imagenes-= de-ia-con-dall-e-los-pros-y-los-contras/

Sotaquir= á, M. (13 de Enero de 2020). Codificando bits. Obtenido de https://www.codificandobits.com/blog/introduccion-tensorflow-2/

Suarez, = L. (22 de Septiembre de 2022). Plato AI. Obtenido de https://zephyrnet.com/es/qu%C3%A9-es-cognii-y-c%C3%B3mo-se-puede-usar-par= a-ense%C3%B1ar-trucos-y-consejos/

UNCTAD (20= 19). Transformación estructural, cuarta revolución industrial y desigualdad: desafíos para las políticas de ciencia, tecnología e innovación. Ginebra, Suiza. https://bit.ly/3MZYCu8

UNESCO (2016). Educación 2030: Declaración de Incheon y Marco de Acción para la realización del Objetivo de<= /span>

Williams, R., Won, H.,= Oh, L., y Breazeal, C. (2019). PopBots: Designing an Artificial Intelligence Curriculum for

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Concienc= ia Digital.

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 Conciencia Digital.

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