Expectativas de la IA en el aprendizaje universitario de estudiantes de ciencias sociales
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Publication date
2023
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Dykinson
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Abstract
Cada día se hace cada vez más evidente el uso de la inteligencia
artificial en nuestra vida cotidiana, sin embargo aún quedan
muchos elementos para trabajar y organizar antes de poder realizar una
verdadera implementación de la inteligencia artificial en la Educación.
Este documento, tal y como veremos en la introducción, tiene como
objetivo hacer una reflexión sobre importancia y la utilidad de la implementación
y asistencia de la inteligencia artificial (en adelante, IA) en
nuestra labor docente dentro de los retos del siglo XXI que buscan una
integralidad y una verdadera transversalidad de la tecnología en los diversos
ejes del saber, trabajando sobre nuevas competencias pedagógicas
orientadas a construir un pensamiento científico y tecnológico.
Lo que hace original este estudio es aprovechar la actualidad y la enorme
incertidumbre académica que hay en torno a la IA y para ello, nos valemos
de un trabajo de campo desarrollado dentro del ámbito de las aulas
universitarias, como veremos en el método. En los resultados observamos
que la IA puede transformar nuestra labor pedagógica y mejorarla
pero también puede ocurrir lo contrario, que no sepamos adaptarnos al
cambio y de ahí que sea nuestro objeto de análisis.
Conclusiones: En general, los resultados muestran el peligro que suponga
la IA para el aprendizaje universitario en la elaboración de trabajos,
prácticas, ensayos, etc., o cualquier otro escrito que requiera únicamente
de una bibliografía o en la elaboración de cuestionarios. También,
el otro principal peligro de la IA del que hablan los estudiantes es
que presenta como cierta la información que da y se convierte en un
impedimento para el pensamiento crítico (…)
Every day the use of intelligence becomes more and more evident artificial in our daily lives, however there are still many elements to work on and organize before you can make a true implementation of artificial intelligence in Education. This document, as we will see in the introduction, aims to objective to reflect on the importance and usefulness of the implementation and assistance of artificial intelligence (hereinafter, AI) in our teaching work within the challenges of the 21st century that seek a comprehensiveness and true transversality of technology in the various axes of knowledge, working on new pedagogical competencies aimed at building scientific and technological thinking. What makes this study original is to take advantage of the current situation and the enormous academic uncertainty that exists around AI and to achieve this, we use of field work developed within the classroom environment university students, as we will see in the method. In the results we observe that AI can transform our pedagogical work and improve it but the opposite can also happen, that we do not know how to adapt to the change and hence it is our object of analysis. Conclusions: In general, the results show the danger posed by AI for university learning in the preparation of works, practices, essays, etc., or any other writing that requires only of a bibliography or in the preparation of questionnaires. Also, The other main danger of AI that students talk about is that presents the information it gives as true and becomes a impediment to critical thinking (…)
Every day the use of intelligence becomes more and more evident artificial in our daily lives, however there are still many elements to work on and organize before you can make a true implementation of artificial intelligence in Education. This document, as we will see in the introduction, aims to objective to reflect on the importance and usefulness of the implementation and assistance of artificial intelligence (hereinafter, AI) in our teaching work within the challenges of the 21st century that seek a comprehensiveness and true transversality of technology in the various axes of knowledge, working on new pedagogical competencies aimed at building scientific and technological thinking. What makes this study original is to take advantage of the current situation and the enormous academic uncertainty that exists around AI and to achieve this, we use of field work developed within the classroom environment university students, as we will see in the method. In the results we observe that AI can transform our pedagogical work and improve it but the opposite can also happen, that we do not know how to adapt to the change and hence it is our object of analysis. Conclusions: In general, the results show the danger posed by AI for university learning in the preparation of works, practices, essays, etc., or any other writing that requires only of a bibliography or in the preparation of questionnaires. Also, The other main danger of AI that students talk about is that presents the information it gives as true and becomes a impediment to critical thinking (…)