In this article, the motives for voluntary work and work values in higher education contexts are examined in a cross-border region in Central Eastern Europe. Our goal is to find out what kind of relationship exists between different types of volunteering and work values among young people. In the theoretical section, we deal with the definition of volunteering in the education system, the types of and motives for students’ volunteering, and finally, the relationship between the work values and voluntary work of students. In the empirical section, we created cluster groups based on students’ motives for volunteering, and we examined differences among countries. Then we revealed the factor structure of the work values of students and analyzed the relationship between cluster groups and factors with variance analysis. Five cluster groups were identified: “careerists with postmodern features,” “unmotivated,” “highly motivated,” “volunteers in an anti-volunteering climate,” and a “helping new type volunteers” group. There were only slight differences among countries, as most respondents are characterized by mixed motivations. An interesting result is that the most frequent group is “the volunteers in an anti-volunteering climate” in all the countries examined, especially in Ukraine, so the culture of volunteering is not popular enough in this region of Central Eastern Europe. Regarding the relationship between work values and volunteering, we have found that these two fields (work values and volunteering) are closely related.

The purpose of this paper is to establish what sociodemographic and institutional factors cause students to drop out, become uncertain about their intentions to obtain a degree, or confidently advance towards the fulfilment of their ambitions. Our analysis is based on the combined databases of large-sample questionnaire surveys carried out among former students who dropped out from higher education institutions in an eastern region of Hungary as well as those carried out among current students. In addition to bivariate methods, we conduct multinomial logistic regression analysis to explore how students’ gender, social background, the funding of their training, willingness to do paid work alongside their studies, and relationships with academic staff and fellow students affect the chance of dropout, the risk of dropout, and persistence. In contrast to previous studies, which have mostly identified those at risk of dropping out of higher education and have primarily focused on the deficiencies of institutional integration, our novel results show that the actual dropout rate is at least as influenced by students’ unfavourable social background as it is by institutional factors.

The interpretation of the phenomenon of student dropout, which represents a waste of a relatively large proportion of human and material capital in the social, individual and institutional domain, is impossible without examining dropout students. In this study, we analysed the DEPART 2018 database, which contains data from 605 Hungarian dropout students. We tried to identify higher education dropout scenarios and pointed out that higher educational dropout is a complex phenomenon. Based on the students' reports on their interpretation and evaluation of their dropouts, four student clusters were created. We compared the groups with their socio-cultural background and their decision to drop out from higher education, and their assessment of that decision. The most important result of the study is that it identifies a new group in addition to the international dropout types, and provides a detailed picture that calls our attention to the diversity of dropout groups, thereby moving beyond the over-generalised image of the dropout student.

In this paper, we seek to answer the research question as to whether students take into account the predictions of human capital theory (namely the higher wages associated with further studies) in their decision to participate in higher education. Our alternative research question is whether students can be described by Bourdieu's theory on capital conversion, that is, whether they aim to accumulate cultural and social capital during their studies, which can also be profitable for them in the future. Our research method is quantitative: we use cluster analysis to examine the motives behind further studies and employ cross tabulation and variance analysis to reveal the relationship between clusters and social background variables. We find that the wage premium associated with further studies is not the most important motive among students; it holds only minor importance even for those from a disadvantaged social background. The results suggest that students in secondary schools, especially talented but underprivileged ones, should be motivated to enter higher education by informing them about the potential wage premium they can attain if they study further. Importantly, we also find that underprivileged students may be unaware of the fact that higher education is an efficient mechanism to accumulate social and cultural capital, which then can be converted into economic capital.

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