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Possibilities of using generative artificial intelligence to support education from the perspective of primary and secondary school students in the Czech Republic

Authors: Kopecký, Kamil; Voráč, Dominik;

Possibilities of using generative artificial intelligence to support education from the perspective of primary and secondary school students in the Czech Republic

Abstract

The paper focuses on the possibilities of using generative artificial intelligence (especially LLM) in education and home preparation of primary and secondary school pupils in the Czech Republic, using the results of the survey Czech Pupils and Artificial Intelligence (2024), which involved over 28,000 respondents from all over the Czech Republic. In our paper, we look at the differences in the use of AI among primary and secondary school pupils, what activities pupils use AI for, and what are the more advanced ways of using these tools (in and out of school) to increase the effectiveness of education. El artículo se centra en las posibilidades de uso de la inteligencia artificial generativa (especialmente LLM) en la educación y la preparación en casa de los alumnos de primaria y secundaria en la República Checa, utilizando los resultados de la encuesta Los alumnos checos y la inteligencia artificial (2024), en la que participaron más de 28.000 encuestados de toda la República Checa. En nuestro artículo, analizamos las diferencias en el uso de la IA entre los alumnos de primaria y secundaria, para qué actividades la utilizan los alumnos y cuáles son las formas más avanzadas de utilizar estas herramientas (dentro y fuera de la escuela) para aumentar la eficacia de la educación; nos centramos en la personalización y la gamificación (incluida la creación de juegos educativos).

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Czech Republic
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Information science (social aspects)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold
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