Ripensare la valutazione con l’Intelligenza Artificiale: qualità, equità e sostenibilità pedagogica nell’istruzione superiore
DOI:
https://doi.org/10.61007/QdC.2026.1.407Parole chiave:
Valutazione formativa, Intelligenza Artificiale, Istruzione superiore, Qualità dell’istruzione, Equità algoritmicaAbstract
L’Intelligenza Artificiale sta trasformando la valutazione nell’istruzione superiore, rendendo possibili nuove forme di scoring, feedback e assessment adattivo, ma riaprendo questioni di validità, equità e responsabilità. Questo studio propone una sintesi narrativa della letteratura internazionale (2020–2025) sull’uso operativo dell’IA nei processi di assessment ed evaluation. L’analisi, articolata su opportunità, criticità e implicazioni socio-pedagogiche, mostra che i risultati più solidi emergono quando l’IA è vincolata da rubriche, esempi ancora e procedure di confronto, con supervisione umana. Parallelamente, segnala limiti di trasparenza e fairness, rischi per l’integrità e trade-off nei sistemi di proctoring. Si propone un orientamento che integri in modo responsabile l’IA al fine di rafforzare qualità, equità e sostenibilità della valutazione.
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