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Author
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Schüller, K.
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Year
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2022
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Publisher
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Statistical Journal of the IAOS, 38(2), 477-490.
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Abstract
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The article proposes a comprehensive framework for data and AI literacy designed to support their systematic integration into school curricula, teacher education, higher education, and lifelong learning programs. It seeks to establish a shared conceptual foundation that treats data and AI literacy as transdisciplinary competencies across three perspectives: application-oriented, technical-methodological, and socio-cultural. The framework aims to equip citizens with the skills needed to engage with data and AI consciously and ethically in a data-driven society.
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Language
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English