Técnicas de inteligencia artificial en la valoración de la enseñanza virtual por estudiantes de nivel universitario

Torres-Cruz, Fred; Mamani, Yudi Janeh Yucra

doi:10.37467/revhuman.v11.3853

Cited by 5 publications

(3 citation statements)

References 30 publications

(17 reference statements)

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“…Micro-curricular planning in virtual environments requires teachers to possess pedagogical knowledge, didactic skills, and digital expertise [25]. When implementing artificial intelligence activities, the following steps are suggested [19,26]:…”

Section: Generative Artificial Intelligence Tools and The 4padafe Ins...mentioning

confidence: 99%

“…In conclusion, achieving a coherent micro-curricular planning and didactic sequence requires teachers to be well-prepared in the subject matter and possess pedagogical knowledge, didactic skills, and proficiency in virtual platforms, digital environments, and generative artificial intelligence tools [25].…”

Section: Generative Artificial Intelligence Tools and The 4padafe Ins...mentioning

confidence: 99%

See 1 more Smart Citation

Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix

Ruiz-Rojas,

Acosta-Vargas,

De-Moreta-Llovet

et al. 2023

Sustainability

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This study focuses on the potential of generative artificial intelligence tools in education, particularly through the practical application of the 4PADAFE instructional design matrix. The objective was to evaluate how these tools, in combination with the matrix, can enhance education and improve the teaching–learning process. Through surveys conducted with teachers from the University of ESPE Armed Forces who participated in the MOOC course “Generative Artificial Intelligence Tools for Education: GPT Chat Techniques”, the study explores the impact of these tools on education. The findings reveal that generative artificial intelligence tools are crucial in developing massive MOOC virtual classrooms when integrated with an instructional design matrix. The results demonstrate the potential of generative artificial intelligence tools in university education. By utilizing these tools in conjunction with an instructional design matrix, educators can design and deliver personalized and enriching educational experiences. The devices offer opportunities to enhance the teaching–learning process and tailor educational materials to individual needs, ultimately preparing students for the demands of the 21st century. The study concludes that generative artificial intelligence tools have significant potential in education. They provide innovative ways to engage students, adapt content, and promote personalized learning. Implementing the 4PADAFE instructional design matrix further enhances the effectiveness and coherence of educational activities. By embracing these technological advancements, education can stay relevant and effectively meet the digital world’s challenges.

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Section: Generative Artificial Intelligence Tools and The 4padafe Ins...mentioning

confidence: 99%

Section: Generative Artificial Intelligence Tools and The 4padafe Ins...mentioning

confidence: 99%

Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix

Ruiz-Rojas,

Acosta-Vargas,

De-Moreta-Llovet

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Now, the dialogue revolves around concepts such as digital transformation, digital signature, metaverse, avatars and, of course, artificial intelligence. These developments not only represent significant technological change, but are also transforming dynamics in all contexts [2].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics

López-Chila,

Llerena-Izquierdo,

Sumba-Nacipucha

et al. 2023

Education Sciences

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Since its origin in the 1950s, artificial intelligence (AI) has evolved from technological to educational applications. AI is emerging as an essential tool in education. Its integration into education promises the personalization and the globalization of learning. Despite its potential, it is crucial to consider its ethical challenges and uses. This bibliometric study sought to understand the current state of AI in higher education in order to provide a basis for future research. A bibliometric analysis was conducted between 2017 and 2023, using the Scopus database. The query was performed on 23 October 2023 and focused on titles, keywords, and abstracts. A total of 870 articles were found, and their metadata were analyzed after removing incorrect data. VOSviewer software was used to visualize the similarities, and the publications were studied by country, authors, and collaborations. A steady growth in AI studies in higher education was found, highlighting areas such as computer science and social sciences. China and the United States led in production and citations. Keywords such as “artificial intelligence”, “chatgpt”, and “machine learning” indicated trends and areas of interest.

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La inteligencia artificial en el entorno mediático, un estudio de los encuadres periodísticos

Yucra-Mamani,

Aragón-Cruz,

Torres-Cruz

2024

epsir

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Introducción: El estudio tiene como objetivo analizar los encuadres periodísticos relacionados con la inteligencia artificial en la prensa digital, categorizando dichos encuadres en generales y específicos para identificar tendencias en la cobertura mediática. Metodología: Esta investigación descriptiva y transversal adopta un enfoque deductivo, dado que las dimensiones de análisis están teóricamente establecidas: encuadres genéricos (a favor, en contra, neutro) y encuadres específicos (preocupación, beneficios, responsabilidad/regulación, impacto sociocultural, prospectiva y otros). Se utiliza la técnica del análisis de contenido. La muestra se compone de 302 textos periodísticos digitales publicados por medios de comunicación internacionales, nacionales y locales, durante el primer semestre del año 2023. Resultados: Se evidencia que, en cuanto a los encuadres genéricos, prevalecen los frames a favor, con un 53% de los artículos que enmarcan a la IA de manera positiva. En lo que respecta a los encuadres específicos, se observa un predominio del encuadre de beneficios, seguido del encuadre de preocupación, con 35% y 26% respectivamente. Discusión: La preeminencia de los encuadres positivos refleja una tendencia optimista en la cobertura mediática de la IA, aunque la narrativa principal es favorable, existe un reconocimiento de encuadres de preocupación y la necesidad de abordar los riesgos asociados. Conclusiones: Si bien los textos predominantes en los medios son favorables hacia la IA, la atención a los riesgos subraya la importancia de un enfoque equilibrado y crítico en el entorno mediático.

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Técnicas de inteligencia artificial en la valoración de la enseñanza virtual por estudiantes de nivel universitario

Cited by 5 publications

References 30 publications

Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix

Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix

Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics

La inteligencia artificial en el entorno mediático, un estudio de los encuadres periodísticos

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