To reduce and prevent the risk of drop-out, we believe it is useful to set up specific Ongoing University Guidance interventions conducted on a digital platform and based on affective, cognitive and metacognitive self-assessment processes for integration into the university context, with timely feedback from return. Considering the evidence that emerged from the recent correlational study conducted by Biasi, De Vincenzo, Fagioli, Mosca and Patrizi (2019) on the factors of academic failure in 80 university students enrolled in the first academic year, not yet at risk of dropping out, who turned to the Ongoing University Guidance at the "Roma Tre" University (92% female; average age = 19 years, 8 months) and who completed a battery of self-report questionnaires using the Limesurvey online platform, it is noted that, by identifying the personal and contextual dysfunctional aspects, students can be helped to avoid developing the risk of dropping out of studies. For this purpose, some valid and reliable self-assessment tools have been found to be particularly effective, set up on a digital platform, which guarantees easy accessibility and allows the return of results - - as formative feedbacks also facilitated by artificial intelligence systems - by promoting the process of self-awareness and progressive empowerment.
Per ridurre e prevenire il rischio di drop-out riteniamo utile allestire interventi specifici di orientamento “in itinere” condotti su piattaforma digitale e basati su processi di auto-valutazione affettiva, cognitiva, metacognitiva per l’integrazione nel contesto universitario, con puntuale feedback di ritorno. Considerando le evidenze emerse dal recente studio correlazionale condotto da Biasi, De Vincenzo, Fagioli, Mosca e Patrizi (2019) sui fattori di insuccesso accademico in 80 studenti universitari iscritti al primo anno di corso, non ancora a rischio di abbandono, rivoltisi al servizio di Counselling per l’Orientamento in itinere dell'Università “Roma Tre” (92% di genere femminile; età media = 19 anni, 8 mesi) e che hanno completato una batteria di questionari self-report utilizzando la piattaforma online Limesurvey, si rileva che, identificando gli aspetti personali e contestuali disfunzionali, gli studenti possano essere aiutati a evitare di sviluppare il rischio di abbandonare gli studi. A tale scopo sono risultati particolarmente efficaci alcuni strumenti di auto-valutazione, validi e affidabili, allestiti su piattaforma digitale, la quale garantisce una facile accessibilità e permette la restituzione dei risultati – in qualità di feedback formativi facilitati anche dai sistemi di intelligenza artificiale – promuovendo il processo di auto-consapevolizzazione e progressivo empowerment.
Biasi, V., De Vincenzo, C., Patrizi, N. (2021). Auto-valutazione su piattaforma digitale per un efficace Orientamento Universitario in itinere / Self-assessment on a digital platform for an effective Ongoing University Guidance. Q-TIMES WEBMAGAZINE, 13(1), 193-205.
Auto-valutazione su piattaforma digitale per un efficace Orientamento Universitario in itinere / Self-assessment on a digital platform for an effective Ongoing University Guidance
Biasi V.;De Vincenzo C.;Patrizi N.
2021-01-01
Abstract
To reduce and prevent the risk of drop-out, we believe it is useful to set up specific Ongoing University Guidance interventions conducted on a digital platform and based on affective, cognitive and metacognitive self-assessment processes for integration into the university context, with timely feedback from return. Considering the evidence that emerged from the recent correlational study conducted by Biasi, De Vincenzo, Fagioli, Mosca and Patrizi (2019) on the factors of academic failure in 80 university students enrolled in the first academic year, not yet at risk of dropping out, who turned to the Ongoing University Guidance at the "Roma Tre" University (92% female; average age = 19 years, 8 months) and who completed a battery of self-report questionnaires using the Limesurvey online platform, it is noted that, by identifying the personal and contextual dysfunctional aspects, students can be helped to avoid developing the risk of dropping out of studies. For this purpose, some valid and reliable self-assessment tools have been found to be particularly effective, set up on a digital platform, which guarantees easy accessibility and allows the return of results - - as formative feedbacks also facilitated by artificial intelligence systems - by promoting the process of self-awareness and progressive empowerment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.