This paper aims to clarify teaching competencies in the age of artificial intelligence (AI), emphasizing the professional dimensions most affected by the emergence of generative AI in both student and teacher practices. The study identifies five key domains of teaching: instructional design, transposition, personalization and differentiation, knowledge appropriation, and the recognition of oneself as an "unfinished teacher." The research adopts a narrative analysis methodology, drawing on the reflections of 40 teaching experts - educators from various disciplines - who participated in a professional development program conducted by the authors at Liceo Avogadro in Biella between September and December 2024. Rather than focusing on AI itself, the study inverts the perspective, centering on teachers' pedagogical competencies. Teachers, conceived as "unfinished" professionals engaged in continuous inquiry and adaptation, are recognized as experts in didactics and, from this standpoint, are critically examined in relation to AI-driven transformations.

L’obiettivo dell’articolo è l’esplicitazione delle competenze didattiche al tempo dell’IA, sottolineando quali dimensioni dell’agire professionale dei docenti siano particolarmente interrogate dalle novità introdotte dalle forme di intelligenza artificiale generativa sia tra gli studenti sia tra gli insegnanti. Tale declinazione è organizzata attorno a cinque ambiti della didattica: il design didattico, la trasposizione, la personalizzazione e la differenziazione, l’appropriazione del sapere, il riconoscersi “docente incompiuto”. La metodologia usata è l’analisi delle narrazioni di esplicitazione di 40 esperti di didattica, ossia gli insegnanti di differenti discipline coinvolti da settembre a dicembre 2024 in un corso di sviluppo professionale tenuto dagli autori presso il Liceo Avogadro di Biella. In questo caso, dunque, la ricerca non parte dall’IA, ma piuttosto, invertendo la prospettiva, parte dalle competenze didattiche del docente. L’insegnante, anche in quanto “incompiuto” che è sempre in ricerca e sta nel suo tempo, è riconosciuto così esperto di didattica e, in questa prospettiva, interrogato di fronte alle novità dell’IA.

Bricchetto, E., Marangi, M., Pasta, S., Declinare le competenze didattiche al tempo dell’IA, attraverso le narrazioni delle pratiche dei docenti/Adapting teaching skills in the age of AI through narratives of teachers' practices, <<EDUCRAZIA>>, 2024; V (2): 171-188 [https://hdl.handle.net/10807/318139]

Declinare le competenze didattiche al tempo dell’IA, attraverso le narrazioni delle pratiche dei docenti/Adapting teaching skills in the age of AI through narratives of teachers' practices

Bricchetto, Enrica;Marangi, Michele;Pasta, Stefano
2024

Abstract

This paper aims to clarify teaching competencies in the age of artificial intelligence (AI), emphasizing the professional dimensions most affected by the emergence of generative AI in both student and teacher practices. The study identifies five key domains of teaching: instructional design, transposition, personalization and differentiation, knowledge appropriation, and the recognition of oneself as an "unfinished teacher." The research adopts a narrative analysis methodology, drawing on the reflections of 40 teaching experts - educators from various disciplines - who participated in a professional development program conducted by the authors at Liceo Avogadro in Biella between September and December 2024. Rather than focusing on AI itself, the study inverts the perspective, centering on teachers' pedagogical competencies. Teachers, conceived as "unfinished" professionals engaged in continuous inquiry and adaptation, are recognized as experts in didactics and, from this standpoint, are critically examined in relation to AI-driven transformations.
2024
Italiano
Bricchetto, E., Marangi, M., Pasta, S., Declinare le competenze didattiche al tempo dell’IA, attraverso le narrazioni delle pratiche dei docenti/Adapting teaching skills in the age of AI through narratives of teachers' practices, <<EDUCRAZIA>>, 2024; V (2): 171-188 [https://hdl.handle.net/10807/318139]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/318139
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