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• RECRUITMENT AND FUTURE ORIENTATION OF DISADVANTEGED CHILDREN

  21-38

  Ildikó Erdei

  Views:

  299

  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.

• GIPSY CHILDREN AT THE DEBRECEN FOOTBALL ACADEMY–RESULTS OF A QUALITATIVE STUDY

  39-50

  Dávid Rábai

  Views:

  124

  One of the aims of the present study is to briefly outline the issues related to gipsy and sportsmen in the literature, and to interpret the main challenges and potential barriers that arise in this context (Bailey, 2005; Sütő-Gabóda, 2013; Kovács, 2016; Faragó and Konczosné, 2017). We also aim to review the most important contexts related to the social background of athletes and, more narrowly, football academics as a possible option for breakout opportunities, based on the football academy system that has been operating in Hungary since 2001 (Rábai, 2021), and to examine specifically how the Debrecen Football Academy can help young people of gipsy origin to break out. The focus of our study is qualitative research, during which we interviewed the leaders of the Debrecen Football Academy in order to get answers to our questions about the gipsy children in the academy. During the interviews, the interviewees provide an overview of the recruitment, social background and typical career paths of gipsy children who have attended the academy so far, as well as a general discussion of their situation and opportunities. Based on our results, the children studying and developing at the football academies have a stable social background, and the Debrecen Football Academy also offers scholarship-like support opportunities that can help children from lower social status in the institution receive significant support. Academy leaders emphasized during the interviews that, although gipsy children often drop out of education, they have a number of successful careers behind them, suggesting that they too have every opportunity to break through the academy. Interviewees also said that they do their best to support gipsy children so that no one is disadvantaged because of economic or social deprivation.

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

  73-86

  Emese Alter

  Views:

  153

  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.