University dropout is a phenomenon that is a concern in many countries all over the world. However, although there are studies in which the direct relationship of the personal and contextual variables is observed individually to predict dropout, there is little research to know whether any of these variables mediate each other in a more dynamic and complex model. Thus, the objective of this study was to analyze the extent to which the intention to drop out of university courses is predicted by (i) satisfaction and expectations with the course, (ii) engagement with the course, and (iii) by the use of Self-Regulated Learning (SRL) strategies. Eight hundred and seventy-seven students from two Spanish universities completed the CARE questionnaire. Path analyses were performed using Mplus 8.3. The data obtained indicate that the intention to drop out is directly and significantly explained by students´ engagement (in 17.8%) and indirectly explained by the use of SRL strategies through engagement. Changes in engagement and in the use of SRL strategies were seen to be associated with satisfaction. Finally, the effect of satisfaction and the use of SRL strategies explained a proportion of students’ engagement (53.6%). It is important for research or interventions focused on students’ intention to drop out to understand that there are multiple variables that both directly and indirectly influence those intentions.

Social and academic integration variables have been shown to be relevant for the understanding of university dropout. However, there is less evidence regarding the influence of these variables on dropout intention, as well as the predictive models that explain their relationships. Improvements in this topic become relevant considering that dropout intention stands as a useful measure to anticipate and intervene this phenomenon. The objective of the present study was to evaluate a predictive model for university dropout intention that considers the relationships between social and academic variables during the first university semester of 2020. The research was conducted using a cross-sectional associative-predictive design, with a convenience sampling (n = 711) due to the restrictions of the pandemic period. The results showed a good fit of the proposed hypothetical model that explained 38.7% of dropout intention. Both social support and perceived social isolation predicted the sense of belonging and, through it, engagement. Previous academic performance predicted early academic performance and, through it, engagement. The set of variables predicted the intention to quit through engagement. These results are a contribution both to the understanding of the phenomenon and to guide potential interventions in the early stages of the university experience.

The increase in dropout rates in higher education is a phenomenon that has generated a lot of interest because of the need to deal with its economic, personal, and social consequences, and because of its prevalence, estimated around 30% in Spain. There is a similar interest in violent behavior in university classrooms, which has also been seen to have increased in recent years. Given that, and the fact that research has shown personal variables to be more influential in dropout from higher education, the aim of this study is to explore whether those students who are the victims of bullying (both traditional and cyberbullying) are closer to dropping out from their degree courses. To that end, 1,653 first-year students doing various degree courses in the north of Spain were asked to complete a questionnaire. The results of a Bayesian analysis showed that students who were victims of bullying were more likely to consider dropping out than students who were not victims of bullying. In addition, variables related to social integration (support from friends and teachers) exhibited a moderating effect. These findings raise the urgent need to include intervention strategies in relation to bullying in university plans to prevent dropout. El aumento del abandono en los estudios superiores es un fenómeno que suscita un gran interés por la necesidad de paliar los efectos económicos, personales y sociales que genera; y por su nivel de prevalencia, que informes recientes cifran en España en torno a un 30%. Algo semejante ocurre con los comportamientos violentos en las aulas universitarias, cuyo incremento se ha constatado en los últimos tiempos. Teniendo esto en cuenta, y dado que tal y como pone de manifiesto la investigación científica son las variables personales las que parecen ejercer un mayor peso en el abandono de los estudios superiores, el objetivo que este trabajo persigue es investigar si aquellos universitarios que están siendo víctimas de acoso (acoso tradicional y ciberacoso) pueden tener un mayor planteamiento de abandono de la titulación. Para ello, se implementó un cuestionario a 1.653 estudiantes de primer curso de varias titulaciones de una universidad del norte de España. Los resultados del análisis bayesiano realizado muestran que aquellos estudiantes que son víctimas de acoso, en comparación con aquellos que no lo son, se plantean abandonar sus estudios en mayor medida, teniendo además las variables relacionadas con la integración social (apoyo de amigos y profesores) un efecto moderador. Estos hallazgos plantean la urgente necesidad de incluir estrategias de intervención sobre el acoso en los planes de prevención del abandono universitario.

University dropout is a phenomenon of growing interest due to its negative consequences. Various variables have been studied in order to understand why this problem occurs. Satisfaction with the degree choice, self-regulation strategies and engagement within the university are some of the variables that have been studied in order to understand why students decide to drop out university. In this sense, it is also important to consider uncertainty, which refers to the level of certainty that students have about these variables to understand the decisions to drop out. Therefore, the aim of this research is to analyse the uncertainty associated with the decision to drop out studies among first year and second-year students, based on these three variables using Multiple Criteria Decision-Making. We performed descriptive analyses and FTOPSIS method on a sample of 719 students from a university in the north of Spain. We saw a relationship between the three variables studied and the intention to persist, as well as being a first-year student. In conclusion, it is important to continue studying the variables that influence this phenomenon in greater depth. In addition, this type of analysis could help in future research to understand in greater depth the influence of other variables on dropout rates.

University dropout is a phenomenon of growing interest in the knowledge society. However, it is a complex phenomenon in which a variety of academic and social variables interact with each other. Cyberbullying is also something that has been the subject of increased research recently, and although it has most often been studied in primary and secondary education, it cannot be discounted from higher education. Because of that, the objective of this study was to determine whether there was a relationship between intentions to complete higher education or not and having been the victim of cyberbullying. We used a sample of 1653 students at a university in Spain who were asked to respond to an adaptation of the University Violence Questionnaire (UVC), analysing the data collected via descriptive statistics and the decision tree test. The results indicated that there was a relationship between having been the victim of cyberbullying and the intention to drop out of a university course, especially when the bullying behavior was social exclusion, impersonation, or spreading sexual images without consent. This study aimed to enhance understanding of university dropout, looking at how being the victim of cyberbullying interacted with the likelihood of students finishing their courses.