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Framing AI Literacy for K-12 Education: Insights from Multi-Perspective and International Stakeholders
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering. University of Helsinki, Helsinki, Finland.ORCID iD: 0000-0001-6020-2737
Linköping University, Department of Behavioural Sciences and Learning, Division of Learning, Aesthetics, Natural Science. Linköping University, Faculty of Educational Sciences. (TekNaD)ORCID iD: 0000-0003-0829-3349
Linköping University, Faculty of Educational Sciences. Linköping University, Department of Behavioural Sciences and Learning, Division of Learning, Aesthetics, Natural Science.ORCID iD: 0000-0002-6177-3897
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9595-2471
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2025 (English)In: ACE '25: Proceedings of the 27th Australasian Computing Education Conference, Association for Computing Machinery (ACM) , 2025, p. 85-94Conference paper, Published paper (Refereed)
Abstract [en]

National and international policy documents emphasize the need for AI-related competencies “for all”, but there is little clarity on what these competencies should include, and determining what non-experts need to know remains a challenge. AI literacy has become a widely discussed topic in this context, often referring to a set of skills that empower individuals to critically evaluate AI, communicate and collaborate effectively with AI systems, and utilize AI as a tool across diverse contexts, including online environments, homes, schools, and workplaces. However, what AI literacy looks like in practice depends on factors such as age, level of education, and individual background. In this article, we frame AI literacy based on a qualitative analysis of the views of 33 international experts from various disciplines on what AI literacy in K-12 education should encompass. This analysis builds on existing AI literacy frameworks, with a focus on understanding and critically evaluating AI’s role in daily life, recognizing and using AI, and designing AI solutions for everyday problems. The findings show that experts emphasize a wide range of knowledge, skills, and attitudes, highlighting the importance of multiple perspectives when exploring this emerging field.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2025. p. 85-94
National Category
Didactics Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-212950DOI: 10.1145/3716640.3716650ISI: 001480949300010ISBN: 9798400714252 (print)OAI: oai:DiVA.org:liu-212950DiVA, id: diva2:1951542
Conference
ACE '25: The 27th Australasian Computing Education Conference, Brisbane, AUSTRALIA, FEB 12-13, 2025
Funder
Swedish Research Council, 2022-03553
Note

Funding Agencies|Swedish Research Council

Available from: 2025-04-11 Created: 2025-04-11 Last updated: 2025-06-11

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Mannila, LindaHallström, JonasNordlöf, CharlottaHeintz, FredrikSperling, KatarinaStenliden, Linnéa

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Mannila, LindaHallström, JonasNordlöf, CharlottaHeintz, FredrikSperling, KatarinaStenliden, Linnéa
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Artificial Intelligence and Integrated Computer SystemsFaculty of Science & EngineeringDivision of Learning, Aesthetics, Natural ScienceFaculty of Educational Sciences
DidacticsComputer Systems

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