Dropout rates in engineering degree programmes at universities are high, and skilled workers are needed. Universities try to prevent dropouts with different offers one of which is attending bridging courses. Research on the effects of these programmes is rare, especially in subject-specific programmes and study formats like cooperative education.…

Early leaving studies demonstrate it is possible to improve young people's opportunities through education and training. The current research evidence has yet to agree a definitive answer as to where the primary policy focus to improve their life chances should be. That is, which risk factors are the most impactful for minimising early school…

Student dropout is a frequent phenomenon in higher education institutions that entails high costs for individuals, institutions, and society as a whole. Thus, it is crucial to identify protective factors regarding dropout in cases in which it could have been prevented. In line with Person-Environment Fit Theory, we assume that intrinsic motivation…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…

High dropout rates in STEM disciplines are certainly among the most crucial challenges that higher education is facing. While prior research has mainly applied an individual-centered approach that has helped identify factors explaining student dropout, an important yet under-examined issue is how those responsible for shaping the academic…

Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…

We evaluate the effect of the Apprenticeship Bonus, an employment subsidy programme, on early apprenticeship dropout. Eligibility for the programme is restricted to school leavers who have actively looked for an apprenticeship to start immediately after leaving school, but were unsuccessful in finding one. Our analysis is based on rich survey data…