dc.contributor.author
Olari, Viktoriya
dc.contributor.author
Romeike, Ralf
dc.date.accessioned
2024-08-06T10:34:24Z
dc.date.available
2024-08-06T10:34:24Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/44401
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-44113
dc.description.abstract
Due to advances in Artificial Intelligence (AI), computer science education has rapidly started to include topics related to AI along K-12 education. Although this development is timely and important, it is also concerning because the elaboration of the AI field for K-12 is still ongoing. Current efforts may significantly underestimate the role of data, the fundamental component of an AI system. If the goal is to enable students to understand how AI systems work, knowledge of key concepts related to data processing is a prerequisite, as data collection, preparation, and engineering are closely linked to the functionality of AI systems. To advance the field, the following research provides a comprehensive collection of key data-related concepts relevant to K-12 computer science education. These concepts were identified through a theoretical review of the AI field, aligned through a review of AI curricula for school education, evaluated through interviews with domain experts and teachers, and structured hierarchically according to the data lifecycle. Computer science educators can use the elaborated structure as a conceptual guide for designing learning arrangements that aim to enable students to understand how AI systems are created and function.
en
dc.format.extent
12 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Artificial Intelligence education
en
dc.subject
Computer Science education
en
dc.subject
Data lifecycle
en
dc.subject
Key concepts
en
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
dc.title
Data-related concepts for artificial intelligence education in K-12
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
100196
dcterms.bibliographicCitation.doi
10.1016/j.caeo.2024.100196
dcterms.bibliographicCitation.journaltitle
Computers and Education Open
dcterms.bibliographicCitation.volume
7
dcterms.bibliographicCitation.url
https://doi.org/10.1016/j.caeo.2024.100196
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Informatik
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refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2666-5573
refubium.resourceType.provider
WoS-Alert