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• The performance of Hungarian minority students in PISA assessments (2003–2022)

  1–16

  Attila Papp Z.

  Views:

  43

  The analysis tries to describe the academic competencies of Hungarian minority students in the Carpathian Basin based on international PISA assessments. To this end, the author first addressed some methodological aspects of the PISA assessments and then presented some international data. Although the school competencies of Hungarian youth in Romania, Serbia, and Slovakia, as revealed by PISA data, show a fluctuating picture over time, a few patterns clearly emerge.  First, one can see that while in Transylvania it appears that Hungarian students perform better than the majority students, in Slovakia the opposite is true, and in Vojvodina the homogeneity of the school-system is evident, as there is no significant difference here between Hungarian minority and majority youth. Despite the small sample sizes, one can still gain some insight into learning in a non-native language: in Romania and Serbia, this generally results in a disadvantage, but Slovakia stands out as an exception in this regard as well: here, it appears that choosing the majority language carries neither an advantage nor a disadvantage in terms of academic competencies. When interpreting academic performance, however, it is essential to take various background factors into account, primarily family background. The analysis highlights that the index of the socio-economic background of majority and minority Hungarian youth shows significant differences. To measure the net effect of the test language a linear regression model was elaborated. Using this, the author argues that the test language exerts a significant effect in the areas of mathematics and sciences.

• The role of digital background factors in academic achievement. A comparative study of students from three countries based on the PISA 2022 database

  115–128

  Balázs János Csajkos

  Klára Kovács-Nagy

  Views:

  80

  This study investigates the impact of students’ digital background factors on mathematical achievement using data from the 2022 PISA assessment. The analysis focuses on 15-year-old students from Austria, Estonia, and Hungary with particular attention given to the interplay between home financial conditions, ICT availability and usage, digital attitudes, and mathematics performance. Drawing on student questionnaire responses, we constructed composite indices and factor scores representing digital access, usage frequency, and digital competence at both home and school settings. Descriptive statistics, ANOVA, and linear regression models were applied to explore the relationships between digital background variables and students' mathematics proficiency scores. The results reveal that home financial status consistently predicts higher achievement across all three countries, whereas the frequency of school-based ICT use shows a negative correlation with performance. Conversely, home-based ICT usage and positive attitudes towards online platforms correlate with higher mathematics outcomes. The Estonian data challenge the initial hypothesis of a country-specific positive effect of ICT usage in schools, suggesting instead that the quality and context of digital integration matter more than frequency. The findings also highlight the importance of learning orientation and student motivation in shaping mathematics performance. Despite some methodological limitations – such as the cross-sectional nature of the data and reliance on self-reported measures – the study offers reliable insights into how digital background factors influence academic outcomes. The results underscore the need for more effective integration of ICT tools in classrooms, informed by students' learning habits and preferences.

• The Effects of Family Background on the Processes of Foreign Language Learning in Hungary

  87-97

  Fruzsina Szabo

  Ágnes Albert

  Kata Csizér

  Views:

  489

  In Hungary, the academic achievement of schoolchildren is very strongly influenced by their family background, a statement often quoted in connection with PISA surveys (Róbert, 2004). Although the effects of family background have mostly been studied in connection with key competences, it is easy to see that they are also likely to influence foreign language learning, possibly to an even greater extent (Csapó, 2001). The aim of our paper is to provide an overview of theoretical and empirical findings related to the family background of Hungarian schoolchildren on different aspects of language learning: language choice, individual differences and success in language learning. We hope to provide a meta-analysis of empirical studies and their results, however it needs to be noted that their number is relatively scarce. We would also like to inspire future studies exploring similar, under-researched topics. Research into the effects of family background is imperative, as it appears to play a pivotal role in ensuring equal opportunities in language education.