Immaginazione e relazione nel dialogo (im)possibile con l’algoritmo. Interrogativi, dubbi e visioni educative.

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Title: Immaginazione e relazione nel dialogo (im)possibile con l’algoritmo. Interrogativi, dubbi e visioni educative.
Authors: CORBI, ENRICOMARIA1 enrico.corbi@unisob.na.it
Source: Studi Sulla Formazione. 2025, Vol. 28 Issue 2, p45-52. 8p.
Subject Terms: *Imagination, *Artificial intelligence, *Algorithms, *Theory of knowledge, *Education methodology, *Learning, *Critical thinking, Human-machine relationship
Abstract: The essay explores the epistemological challenge posed by AI to education, analyzing how interaction with algorithmic systems redefines the concepts of imagination and relation. AI emulates imagination through probabilistic remixes, creating an ambiguity between simulation and authenticity that questions the very nature of the human. The relationship with AI, though ontologically asymmetric, generates real transformations in the subject. Pedagogy must therefore consciously navigate this ambiguity, preserving and renewing human critical capacities while, at the same time, integrating the enormous potential of the artificial. [ABSTRACT FROM AUTHOR]
Copyright of Studi Sulla Formazione is the property of Firenze University Press 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
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: Immaginazione e relazione nel dialogo (im)possibile con l’algoritmo. Interrogativi, dubbi e visioni educative.
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  Data: <searchLink fieldCode="AR" term="%22CORBI%2C+ENRICOMARIA%22">CORBI, ENRICOMARIA</searchLink><relatesTo>1</relatesTo><i> enrico.corbi@unisob.na.it</i>
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  Data: <searchLink fieldCode="JN" term="%22Studi+Sulla+Formazione%22">Studi Sulla Formazione</searchLink>. 2025, Vol. 28 Issue 2, p45-52. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Imagination%22">Imagination</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Theory+of+knowledge%22">Theory of knowledge</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+methodology%22">Education methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Critical+thinking%22">Critical thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Human-machine+relationship%22">Human-machine relationship</searchLink>
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  Data: The essay explores the epistemological challenge posed by AI to education, analyzing how interaction with algorithmic systems redefines the concepts of imagination and relation. AI emulates imagination through probabilistic remixes, creating an ambiguity between simulation and authenticity that questions the very nature of the human. The relationship with AI, though ontologically asymmetric, generates real transformations in the subject. Pedagogy must therefore consciously navigate this ambiguity, preserving and renewing human critical capacities while, at the same time, integrating the enormous potential of the artificial. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Studi Sulla Formazione is the property of Firenze University Press 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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      – Type: doi
        Value: 10.36253/ssf-16911
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      – Code: ita
        Text: Italian
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        PageCount: 8
        StartPage: 45
    Subjects:
      – SubjectFull: Imagination
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Theory of knowledge
        Type: general
      – SubjectFull: Education methodology
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      – SubjectFull: Learning
        Type: general
      – SubjectFull: Critical thinking
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      – SubjectFull: Human-machine relationship
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              Text: 2025
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              Y: 2025
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