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• RECRUITMENT AND FUTURE ORIENTATION OF DISADVANTEGED CHILDREN

  21-38

  Ildikó Erdei

  Views:

  330

  In Hungary, many children live in state care. In order to curb its social reproduction, it is important to see recruitment: Who are they? Where and why did they get into state care? We have to deal with the future vision, motivation, self-efficacy, cause-attribution, social integration of young people, and their ideas about them. The aim of our research is to explore the differences in the future orientation of disadvantaged young people living in orphanages and families, which were measurable by analyzing their study average, by using a vision questionnaire and a self-report questionnaire to reveal family background, and by using the Tenessee self-image scale. The study involved 60 children and young adults living in an orphanage and 60 children and young adults living in a family. Both groups consist of young people aged between 15 and 20, born between 1999 and 2004. The aim of the study was to compare the future orientation of the disadvantaged children living in an orphanage with the also disadvantaged children attending Arany János Talent Care Program but living in a family, and also to identify the differences or similarities between them. The statistical analysis found that there was a positive correlation between the vision questionnaire and the background questionnaire. Most of the questions in the two questionnaires are related.

• THE SOCIO-DEMOGRAPHIC CHARACTERISTICS AND ACADEMIC PREPAREDNESS OF STEM STUDENTS IN HUNGARY

  73-86

  Emese Alter

  Views:

  170

  Although the dropout behavior and labor market opportunities of STEM (Science, Technology, Engineering, and Mathematics) students and the masculinization of STEM fields are all well-researched topics in STEM research, there is a very limited body of literature focusing on the social background and academic preparedness of STEM applicants. Thus, in this research, we compared STEM and non-STEM students based on their type of settlement, type of secondary school program, the rate of students coming from a disadvantaged background, extra points given for academic accomplishments, and total application score. To identify variables that significantly predict getting admitted to a STEM field, we conducted binary logistic regression. During our research, we conducted the analysis using the 2017 Hungarian Admission Database. Our sample consisted of those who got admitted to a full-time BA/BSc or undivided course (N = 41324). According to our results, STEM students cannot be identified as a disadvantaged group either in terms of their social background or their lack of academic preparedness. According to the results of the binary logistic regression, the main predictors of getting admitted to a STEM field are gender (male), having a language certificate, and having a vocational training certificate. The main goal of our research was to explore whether the individual characteristics of STEM students can be the reason behind the high attrition rates specific to STEM fields. Since our results did not support this conclusion, we suppose to further investigate the role of institutional variables (such as climate, the selective approach of college teachers, and high academic expectations) in dropouts.

• FACTORS SUPPORTING HIGHER EDUCATION OF PERSONS WITH DISABILITIES IN THE LIGHT OF A RESEARCH

  85-99

  Anita Heim

  Emese Balázs-Földi

  Views:

  258

  Compared to other social groups, persons with disabilities are at higher risk of poverty. One of the reasons for this can be explained by the labour market situation of people with disabilities, as their employment is extremely low, their livelihood is primarily ensured by social benefits. One of the main guarantees of achieving an adequate standard of living is income from work. The higher qualifications the employee has, the higher the chance is to have a job that suits his/her interests and abilities. However, persons with disabilities tend to have lower educational qualifications than members of the majority of society, and their higher education is particularly low. In order to achieve equal opportunities, persons with disabilities may take advantage of allowances and subsidies in the course of their higher education as well as their studies. Using qualitative, semi-structured interviews, the research explores how services promoting equal opportunities at universities facilitate the higher education of students with disabilities, support their job search and their integration into the labour market. The research also comprised the examination of how the family background or previous (primary and secondary school) studies influenced the higher education of the interviewees. Based on the research results, it can be stated that promoting equal opportunities at universities contributes to the successful completion of studies as well as participation in the labour market eventually. The family, the parents, studying in an integrated framework play a crucial role in the decision of a student with disabilities to continue his/her studies at university.

• The Analysis of Early School Leaving from the Aspect of Inter-Sectionality

  19-33

  Veronika Bocsi

  Aranka Varga

  Anikó Fehérvári

  Views:

  148

  Hungary ranks in the bottom third of the European Union regarding early school leaving, falling further and further away from the EU average year on year. The lower educational attainment and higher drop-out rates of Roma/Gypsy youth have been confirmed by several studies. Still, the descriptions are often two-dimensional, as in international approaches. The Hungarian Youth 2020 database allowed for a wider range of explanatory variables in the analysis. In our study, we examine the educational attainment of Roma youth aged 20-29 and then compare subsamples of Roma and non-Roma dropouts. Finally, we run a binary regression model on the database with early school leaving as the dependent variable and explanatory variables as background variables that may shape the odds of early school leaving. The social and economic backgrounds of Roma and non-Roma ESL learners differed, while parental education and subjective financial situation showed a less favourable pattern for Roma. The effect of Roma identity was significant in the regression model, but the explanatory power did not reach the effect of lower parental education. In other words, ethnic background is a crucial factor in dropout, while some segments of the family background are more significant.