From Digital Literacy to AI Literacy: Developing a Comprehensive Framework for the Age of Artificial Intelligence.
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| Title: | From Digital Literacy to AI Literacy: Developing a Comprehensive Framework for the Age of Artificial Intelligence. |
|---|---|
| Authors: | Ranieri, Maria1 (AUTHOR) maria.ranieri@unifi.it, Biagini, Gabriele1 (AUTHOR) gabriele.biagini@unifi.it, Cuomo, Stefano1 (AUTHOR) stefano.cuomo@unifi.it |
| Source: | Research on Education & Media. Jun2026, Vol. 18 Issue 1, p31-44. 14p. |
| Subject Terms: | *Digital literacy, *Curriculum planning, *Life skills, *Cognitive ability, Artificial intelligence & ethics, Critical analysis, Schemas (Psychology) |
| Abstract: | As artificial intelligence (AI) increasingly permeates various sectors, existing digital literacy frameworks prove insufficient for addressing the unique challenges posed by autonomous, data-driven AI systems. This study aims to develop a comprehensive AI literacy framework that extends traditional digital literacy models to encompass the competencies required for effective and ethical engagement with AI technologies. Through a multi-phase research process conducted between 2022 and 2025, we employed two scoping reviews and one systematic literature review. The first phase analysed 35 articles on AI literacy conceptualization, the second examined 12 studies on AI literacy assessment tools, and the third systematically reviewed 87 studies from an initial pool of 323 records across major databases including Web of Science, SCOPUS, ERIC, and IEEE Xplore. Building on Calvani et al. (2009) digital literacy framework, we propose an AI literacy framework with four interconnected dimensions: cognitive (understanding AI concepts and mechanisms), operational (practical skills for AI interaction and application), critical (evaluating AI-generated content and societal impacts), and ethical (navigating moral implications and responsible AI use). The framework addresses key gaps in how AI literacy is conceptualized, moving beyond tool-based competencies to include understanding of autonomous systems. The transition from digital to AI literacy represents a paradigm shift requiring new competencies for educational, professional, and societal contexts. The framework provides a foundation for curriculum development, assessment design, and policy formulation to ensure individuals can critically engage with AI technologies while addressing their ethical and social implications. [ABSTRACT FROM AUTHOR] |
| Copyright of Research on Education & Media is the property of Paradigm Publishing Services 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.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 195070882 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: From Digital Literacy to AI Literacy: Developing a Comprehensive Framework for the Age of Artificial Intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ranieri%2C+Maria%22">Ranieri, Maria</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maria.ranieri@unifi.it</i><br /><searchLink fieldCode="AR" term="%22Biagini%2C+Gabriele%22">Biagini, Gabriele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gabriele.biagini@unifi.it</i><br /><searchLink fieldCode="AR" term="%22Cuomo%2C+Stefano%22">Cuomo, Stefano</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> stefano.cuomo@unifi.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+on+Education+%26+Media%22">Research on Education & Media</searchLink>. Jun2026, Vol. 18 Issue 1, p31-44. 14p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Digital+literacy%22">Digital literacy</searchLink><br />*<searchLink fieldCode="DE" term="%22Curriculum+planning%22">Curriculum planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Life+skills%22">Life skills</searchLink><br />*<searchLink fieldCode="DE" term="%22Cognitive+ability%22">Cognitive ability</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+analysis%22">Critical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Schemas+%28Psychology%29%22">Schemas (Psychology)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As artificial intelligence (AI) increasingly permeates various sectors, existing digital literacy frameworks prove insufficient for addressing the unique challenges posed by autonomous, data-driven AI systems. This study aims to develop a comprehensive AI literacy framework that extends traditional digital literacy models to encompass the competencies required for effective and ethical engagement with AI technologies. Through a multi-phase research process conducted between 2022 and 2025, we employed two scoping reviews and one systematic literature review. The first phase analysed 35 articles on AI literacy conceptualization, the second examined 12 studies on AI literacy assessment tools, and the third systematically reviewed 87 studies from an initial pool of 323 records across major databases including Web of Science, SCOPUS, ERIC, and IEEE Xplore. Building on Calvani et al. (2009) digital literacy framework, we propose an AI literacy framework with four interconnected dimensions: cognitive (understanding AI concepts and mechanisms), operational (practical skills for AI interaction and application), critical (evaluating AI-generated content and societal impacts), and ethical (navigating moral implications and responsible AI use). The framework addresses key gaps in how AI literacy is conceptualized, moving beyond tool-based competencies to include understanding of autonomous systems. The transition from digital to AI literacy represents a paradigm shift requiring new competencies for educational, professional, and societal contexts. The framework provides a foundation for curriculum development, assessment design, and policy formulation to ensure individuals can critically engage with AI technologies while addressing their ethical and social implications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Research on Education & Media is the property of Paradigm Publishing Services 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2478/rem-2026-0005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 31 Subjects: – SubjectFull: Digital literacy Type: general – SubjectFull: Curriculum planning Type: general – SubjectFull: Life skills Type: general – SubjectFull: Cognitive ability Type: general – SubjectFull: Artificial intelligence & ethics Type: general – SubjectFull: Critical analysis Type: general – SubjectFull: Schemas (Psychology) Type: general Titles: – TitleFull: From Digital Literacy to AI Literacy: Developing a Comprehensive Framework for the Age of Artificial Intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ranieri, Maria – PersonEntity: Name: NameFull: Biagini, Gabriele – PersonEntity: Name: NameFull: Cuomo, Stefano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20370849 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Research on Education & Media Type: main |
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