In recent years, the approach to assessment in universities has undergone a radical change. From Old Assessment, centered on standardized tests and rigid criteria, it has gradually evolved towards the New Assessment paradigm (Varisco, 2004), which aims to evaluate not only performance outcomes but also students' learning processes and critical thinking. At the same time, the growing use of generative artificial intelligence tools is profoundly transforming teaching and assessment practices, opening up new possibilities but also raising pedagogical, ethical, and methodological questions. Within this evolving scenario, this research aims to investigate the role of artificial intelligence (AI) in promoting the active participation of students in assessment processes in universities, through a narrative review of recent literature. The methodology adopted allows for the integration and critical discussion of the results of heterogeneous studies published between 2021 and 2025. The analysis is divided into three main sections: the first examines the evolution of assessment processes in universities; the second explores the use of artificial intelligence in these processes, with a particular focus on automated feedback and peer assessment support; the third focuses on the role of student voice, i.e., how students interact with AI and influence its integration into assessment processes. The literature review reveals significant evidence: AI appears capable of providing timely, consistent, and personalized feedback, promoting greater scalability of assessment practices and opening up opportunities for more active student involvement. However, some critical issues remain, related to the risk of receiving inaccurate feedback, the presence of bias in algorithmic systems, and doubts regarding student autonomy and motivation in using such tools.
Negli ultimi anni, l’approccio valutativo in ambito universitario ha conosciuto un radicale cambiamento. Dall’Old Assessment, centrato su test standardizzati e criteri rigidi, si è progressivamente evoluto verso il paradigma del New Assessment (Varisco, 2004), orientato a valorizzare non solo gli esiti delle prestazioni, ma anche i processi di apprendimento e di riflessione critica degli studenti. Parallelamente, la crescente diffusione di strumenti di intelligenza artificiale generativa sta trasformando in profondità le pratiche di insegnamento e valutazione, aprendo nuove possibilità ma anche interrogativi di natura pedagogica, etica e metodologica. All’interno di questo scenario in evoluzione, la presente ricerca si propone di indagare il ruolo dell’intelligenza artificiale (IA) nel promuovere la partecipazione attiva degli studenti ai processi valutativi in ambito universitario, attraverso una rassegna narrativa della letteratura recente. La metodologia adottata consente di integrare e discutere criticamente i risultati di studi eterogenei pubblicati tra il 2021 e il 2025. L’analisi si articola in tre sezioni principali: la prima esamina l’evoluzione dei processi valutativi in ambito universitario; la seconda approfondisce l’impiego dell’intelligenza artificiale in tali processi, con particolare attenzione al feedback automatizzato e al supporto al peer assessment; la terza si concentra sul ruolo della student voice, ossia sulle modalità attraverso cui gli studenti interagiscono con l’IA e ne influenzano l’integrazione nei processi di valutazione. Dalla sintesi della letteratura emergono evidenze significative: l’IA appare in grado di garantire feedback tempestivi, coerenti e personalizzati, favorendo una maggiore scalabilità delle pratiche valutative e aprendo spazi per un coinvolgimento più attivo degli studenti. Tuttavia, persistono alcune criticità, legate al rischio di ricevere feedback inaccurati, alla presenza di bias nei sistemi algoritmici e ai dubbi riguardanti l’autonomia e la motivazione degli studenti nell’utilizzo di tali strumenti.
Il ruolo dell'intelligenza artificiale nel favorire la partecipazione degli studenti ai processi valutativi in ambito universitario: una rassegna narrativa della letteratura
CARLON, ERICA
2024/2025
Abstract
In recent years, the approach to assessment in universities has undergone a radical change. From Old Assessment, centered on standardized tests and rigid criteria, it has gradually evolved towards the New Assessment paradigm (Varisco, 2004), which aims to evaluate not only performance outcomes but also students' learning processes and critical thinking. At the same time, the growing use of generative artificial intelligence tools is profoundly transforming teaching and assessment practices, opening up new possibilities but also raising pedagogical, ethical, and methodological questions. Within this evolving scenario, this research aims to investigate the role of artificial intelligence (AI) in promoting the active participation of students in assessment processes in universities, through a narrative review of recent literature. The methodology adopted allows for the integration and critical discussion of the results of heterogeneous studies published between 2021 and 2025. The analysis is divided into three main sections: the first examines the evolution of assessment processes in universities; the second explores the use of artificial intelligence in these processes, with a particular focus on automated feedback and peer assessment support; the third focuses on the role of student voice, i.e., how students interact with AI and influence its integration into assessment processes. The literature review reveals significant evidence: AI appears capable of providing timely, consistent, and personalized feedback, promoting greater scalability of assessment practices and opening up opportunities for more active student involvement. However, some critical issues remain, related to the risk of receiving inaccurate feedback, the presence of bias in algorithmic systems, and doubts regarding student autonomy and motivation in using such tools.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/100615