Artificial Intelligence (AI) literacy – an argument for AI literacy in education.

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Title: Artificial Intelligence (AI) literacy – an argument for AI literacy in education.
Authors: Kong, Siu-Cheung1 (AUTHOR), Korte, Satu-Maarit2 (AUTHOR) satu-maarit.korte@ulapland.fi, Burton, Steve3 (AUTHOR), Keskitalo, Pigga2 (AUTHOR), Turunen, Tuija2 (AUTHOR), Smith, David4 (AUTHOR), Wang, Lixun1,5 (AUTHOR), Lee, John Chi-Kin6 (AUTHOR), Beaton, Mhairi C.3 (AUTHOR)
Source: Innovations in Education & Teaching International. Apr2025, Vol. 62 Issue 2, p477-483. 7p.
Subject Terms: *Artificial intelligence, *Literacy education, Sustainable development, Savings & loan associations, Professions
Abstract: 'Perhaps we should all stop for a moment and focus not only on making our AI better and more successful but also on the benefit of humanity'. - S. Hawkins, Web Summit, 2017 This international collaborative piece argues for a paradigm shift in our use and understanding of Artificial Intelligence (AI) in education, and in the development of Artificial Intelligence Literacy amongst our learners and professional colleagues. The main premises are: AI can change societal practices, and aid competency and capacity building within society, thereby having a positive impact on education. AI in education can support equity, inclusiveness and lifelong learning, through customisable and tailored learning experiences, while building up future professions and societies according to sustainable development premises. Education ought to equip learners with the knowledge, competency and mindset required to use AI to solve professional and societal challenges and improve day-to-day practices [ABSTRACT FROM AUTHOR]
Copyright of Innovations in Education & Teaching International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Artificial Intelligence (AI) literacy – an argument for AI literacy in education.
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  Data: <searchLink fieldCode="JN" term="%22Innovations+in+Education+%26+Teaching+International%22">Innovations in Education & Teaching International</searchLink>. Apr2025, Vol. 62 Issue 2, p477-483. 7p.
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  Data: 'Perhaps we should all stop for a moment and focus not only on making our AI better and more successful but also on the benefit of humanity'. - S. Hawkins, Web Summit, 2017 This international collaborative piece argues for a paradigm shift in our use and understanding of Artificial Intelligence (AI) in education, and in the development of Artificial Intelligence Literacy amongst our learners and professional colleagues. The main premises are: AI can change societal practices, and aid competency and capacity building within society, thereby having a positive impact on education. AI in education can support equity, inclusiveness and lifelong learning, through customisable and tailored learning experiences, while building up future professions and societies according to sustainable development premises. Education ought to equip learners with the knowledge, competency and mindset required to use AI to solve professional and societal challenges and improve day-to-day practices [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Innovations in Education & Teaching International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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