This paper investigates the relationship between academic motivation, cognitive strategies and self-efficacy, in order to examine the effects of these variables on the academic performance of students and to discover possible repercussions in their academic career, and to determine the level of drop-out risk. The sample is composed of 2.328 students by "Roma Tre" University. They took part in an extensive online survey, they has been asked to complete a battery of tools to gather not only informations concerning socio-cultural data, but also related to self-regulation of learning, academic motivation, school self-efficacy and perceived risk of drop-out. The results emerging from the analysis of the data indicate that the cognitive strategies adopted, the type of motivation, and the perception of self-efficacy affect student learning skills. They also show that academic performance correlates but does not constitute a predictive factor for the risk of drop-out, on the contrary factors as a-motivation and school self-efficacy are statistically significant.
Biasci, V., DE VINCENZO, C., Patrizi, N. (2017). Relazioni tra autoregolazione dell’apprendimento, motivazioni e successo accademico degli studenti. Identificazione di fattori predittivi del rischio di drop-out. GIORNALE ITALIANO DELLA RICERCA EDUCATIVA(18), 181-198.
Relazioni tra autoregolazione dell’apprendimento, motivazioni e successo accademico degli studenti. Identificazione di fattori predittivi del rischio di drop-out.
BIASCI, Valeria;DE VINCENZO, CONNY;PATRIZI, NAZARENA
2017-01-01
Abstract
This paper investigates the relationship between academic motivation, cognitive strategies and self-efficacy, in order to examine the effects of these variables on the academic performance of students and to discover possible repercussions in their academic career, and to determine the level of drop-out risk. The sample is composed of 2.328 students by "Roma Tre" University. They took part in an extensive online survey, they has been asked to complete a battery of tools to gather not only informations concerning socio-cultural data, but also related to self-regulation of learning, academic motivation, school self-efficacy and perceived risk of drop-out. The results emerging from the analysis of the data indicate that the cognitive strategies adopted, the type of motivation, and the perception of self-efficacy affect student learning skills. They also show that academic performance correlates but does not constitute a predictive factor for the risk of drop-out, on the contrary factors as a-motivation and school self-efficacy are statistically significant.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.