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Record type:	stať ve sborníku (D)
Home Department:	Katedra informatiky a počítačů (31400)
Title:	Algorithmization with AI
Citace	Žáček, M. a Konečná, P. Algorithmization with AI. In: DIDSCI+ 2024: 12th International Conference on Research in Didactics of the Sciences: DIDSCI+ 2024: 12th International Conference on Research in Didactics of the Sciences: sborník příspěvků 2024-06-25 Ostrava. Ostrava: Ostravská univerzita, 2024. s. 85-86. ISBN 978-80-7599-443-1.

Subtitle
Publication year:	2024
Obor:
Number of pages:	2
Page from:	85
Page to:	86
Form of publication:	Elektronická verze
ISBN code:	978-80-7599-443-1
ISSN code:
Proceedings title:	DIDSCI+ 2024: 12th International Conference on Research in Didactics of the Sciences: sborník příspěvků
Proceedings:	Mezinárodní
Publisher name:	Ostravská univerzita
Place of publishing:	Ostrava
Country of Publication:	Sborník vydaný v ČR
Název konference:	DIDSCI+ 2024: 12th International Conference on Research in Didactics of the Sciences
Místo konání konference:	Ostrava
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Evropská akce
WoS code:
EID:

Key words in English:	AI, artificial intelligence, tools, computational thinking, computer science education, algorithmization
Annotation in original language:	This paper focuses on the possibilities of using artificial intelligence tools to support and develop algorithmic thinking within the educational process in primary and secondary schools, following the Framework Educational Program (FEP). Given the growing emphasis on algorithmization in computer science education, we present a study that investigates the effectiveness of specific AI tools aimed at developing computational thinking in students. The outcome is a practical validation of these tools for a school setting to optimize and innovate teaching strategies in computer science.
Annotation in english language:	This paper focuses on the possibilities of using artificial intelligence tools to support and develop algorithmic thinking within the educational process in primary and secondary schools, following the Framework Educational Program (FEP). Given the growing emphasis on algorithmization in computer science education, we present a study that investigates the effectiveness of specific AI tools aimed at developing computational thinking in students. The outcome is a practical validation of these tools for a school setting to optimize and innovate teaching strategies in computer science.

References

Reference

R01:	RIV/61988987:17310/24:A2503A62

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