scholarly journals The Influence of Foreign-born Population on Immigrant and Native-born Students’ Academic Achievement

2019 ◽  
Vol 5 ◽  
pp. 237802311984525 ◽  
Author(s):  
Florencia Silveira ◽  
Mikaela J. Dufur ◽  
Jonathan A. Jarvis ◽  
Kristie J. Rowley

With recent increases in international migration, some political and academic narratives argue for limiting migration because of possible negative effects on the host country. Among other outcomes, these groups argue that immigrant students have an impact on education, negatively affecting native-born students’ academic performance. The authors contextualize the relationship between immigrant status and academic achievement by considering a macro social setting: country-level foreign-born population. The authors examine achievement from the 2015 Programme for International Student Assessment in 41 high-income countries. The authors use within- and cross-level interactions to examine (1) the relationship between immigrant status and academic achievement, (2) the moderating effect of student socioeconomic status on achievement, and (3) how country-level foreign-born population affects both immigrant and native-born students’ performance. The findings indicate that immigrant students perform similarly to native-born students when considering other contextual factors, with socioeconomic status moderating the effect of immigrant status. Furthermore, all students, immigrant and nonimmigrant students alike, benefit academically from more immigration.

Author(s):  
Cahit Erdem ◽  
Metin Kaya

Abstract The COVID-19 pandemic has deepened the effects of socioeconomic status (SES) and wellbeing (WB) on students’ academic achievement, particularly in developing countries; thus, it becomes necessary to understand the nature of these concurrent relationships. This study aimed to explore the relationships between SES, WB and academic achievement, based on the data from the Programme for International Student Assessment (PISA) in 2018 within the Turkish context. In this cross-sectional study, we used hierarchical multiple linear regression analysis to explore how the independent variables predicted academic achievement in blocks based on data from 6890 students attending 186 schools. The study revealed that the model, including the independent variables, predicted students’ achievement in reading, mathematics and science; however, the prediction level of demographic factors and domains of WB were very low, while SES had the highest prediction level. The results offer insights into the predictors of academic achievement and educational inequalities in the context of a developing country.


2017 ◽  
Vol 36 (7) ◽  
pp. 709-724 ◽  
Author(s):  
Lazar Stankov ◽  
Jihyun Lee ◽  
Matthias von Davier

We examine construct validity of the anchoring method used with 12 noncognitive scales from the Programme for International Student Assessment (PISA) 2012 project. This method combines individuals’ responses to vignettes and self-rated scores based on Likert-type items. It has been reported that the use of anchoring vignettes can reverse country-level correlations between academic achievement scores and noncognitive measures from negative to positive, and therefore align them with the typically reported individual-level correlations. Using the PISA 2012 data, we show that construct validity of this approach may be open to question because the anchored scales produce a different set of latent dimensions in comparison with nonanchored scales, even though both scales were created from the same set of individual responses. We also demonstrate that only one of three vignettes may be responsible for the resolution of the “paradox” highlighting that the choice of vignettes may be more important than what was previously reported.


Author(s):  
John Jerrim ◽  
Gill Wyness

The Programme for International Student Assessment (PISA) is an important international study of 15-year-olds' academic achievement. Although PISA has traditionally been used to draw comparisons across countries, there is growing interest in the production of regional (i.e. city, state, or provincial level) results. In this paper we present the first attempt to benchmark London in the PISA rankings. Pooling data across the 2009 and 2012 survey waves, we estimated a 95 per cent confidence interval for London's mathematics, reading, and science PISA scores. These are compared not only to country-level averages, but also to the scores of other major world cities and states. The paper concludes by discussing how these results should be interpreted, and possible directions for future research.


2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.


Author(s):  
Björn Högberg ◽  
Solveig Petersen ◽  
Mattias Strandh ◽  
Klara Johansson

AbstractStudents’ sense of belonging at school has declined across the world in recent decades, and more so in Sweden than in almost any other high-income country. However, we do not know the characteristics or causes of these worldwide trends. Using data on Swedish students aged 15–16 years from the Programme for International Student Assessment (PISA) between 2000 and 2018, we show that the decline in school belonging in Sweden was driven by a disproportionately large decline at the bottom part of the distribution, and was greatest for foreign-born students, students from disadvantaged social backgrounds, and for low-achieving students. The decline cannot be accounted for by changes in student demographics or observable characteristics related to the school environment. The decline did, however, coincide with a major education reform, characterized by an increased use of summative evaluation, and an overall stronger performance-orientation.


2011 ◽  
Vol 10 (4) ◽  
pp. 611-622 ◽  
Author(s):  
Radhika Gorur

In this article, the author tells the story of her search for appropriate tools to conceptualise policy work. She had set out to explore the relationship between the Programme for International Student Assessment (PISA) of the Organisation for Economic Co-operation and Development (OECD) and Australia's education policy, but early interview data forced her to reconsider her research question. The plethora of available models of policy did not satisfactorily accommodate her growing understanding of the messiness and complexity of policy work. On the basis of interviews with 18 policy actors, including former OECD officials, PISA analysts and bureaucrats, as well as documentary analysis of government reports and ministerial media releases, she suggests that the concept of ‘assemblage’ provides the tools to better understand the messy processes of policy work. The relationship between PISA and national policy is of interest to many scholars in Europe, making this study widely relevant. An article that argues for the unsettling of tidy accounts of knowledge making in policy can hardly afford to obscure the untidiness of its own assemblage. Accordingly, this article is somewhat unconventional in its presentation, and attempts to take the reader into the messiness of the research world as well as the policy world. Implicit in this presentation is the suggestion that both policy work and research work are ongoing attempts to find order and coherence through the cobbling together of a variety of resources.


Author(s):  
S. Marshall Perry ◽  
Karen M. Sealy ◽  
Héctor X. Ramírez-Pérez ◽  
Thomas C. DeNicola ◽  
Yair Cohen

Connections between principal leadership activities, school context, and student achievement are examined within this paper. Data for this quantitative study are from the 2013 Teaching and Learning International Survey (TALIS) and the 2012 Programme for International Student Assessment (PISA). The eight countries of examination participated in both the TALIS and PISA and the researchers merged datasets, yielding a study sample of 1,301 schools. This paper supports a context-specific view of instructional leadership. When looking across countries, the researchers found different practices were more strongly associated with the academic achievement of students, and suggest that school leaders have a meaningful overall relationship with academic achievement, both directly and indirectly. This study therefore supports prior research about the direct and indirect effects of instructional leadership. Further study, which accounts for differences in family academic resources and school-level opportunities to learn, will better illuminate the connection between instructional leadership practices and academic achievement.


Author(s):  
Davide Azzolini ◽  
Philipp Schnell ◽  
John R. B. Palmer

The authors use 2009 Programme for International Student Assessment (PISA) data to determine how immigrant children in Italy and Spain compare with native students in reading and mathematics skills. Drawing on the vast empirical literature in countries with traditionally high rates of immigration, the authors test the extent to which the most well-established patterns and hypotheses of immigrant/native educational achievement gaps also apply to these comparatively “new” immigration countries. The authors find that both first- and second-generation immigrant students underperform natives in both countries. Although socioeconomic background and language skills contribute to the explanation of achievement gaps, significant differences remain within the countries even after controlling for those variables. While modeling socioeconomic background reduces the observed gaps to a very similar extent in both countries, language spoken at home is more strongly associated with achievement gaps in Italy. School-type differentiation, such as tracking in Italy and school ownership in Spain, do not reduce immigrant/native gaps, although in Italy tracking is strongly associated with immigrant students’ test scores.


2019 ◽  
Vol 27 ◽  
pp. 76
Author(s):  
Margarita Pivovarova ◽  
Jeanne M. Powers

Enforcing and expanding immigration restrictions have been at the forefront of the Trump administration’s agenda since his inauguration in January 2017. Underlying these policies is an assumption that immigrants harm U.S. citizens. More specifically, both authorized and undocumented immigrants are framed as consuming a disproportionate share of social benefits. We used data from the 2012 Programme for International Student Assessment (PISA) to assess this claim in U.S. high school contexts, focusing on the mathematics achievement of third-plus generation students who did not attend schools with immigrant students. On average, the third-plus-generation students who did not attend schools that enrolled first or second generation immigrant students had lower achievement than their same generation peers attending schools that served immigrant students. We conclude by highlighting the research and policy implications of our findings. 


2015 ◽  
Vol 23 ◽  
pp. 108 ◽  
Author(s):  
Haigen Huang

Despite decades of educational reforms, the achievement gap based on socioeconomic status (SES) persists in the United States. Not only does the SES-based achievement gap persist, it has also been widening. This study focused on the role of students, hypothesizing that students might reduce the SES-based achievement gap by increasing their learning time and persistence. I used both ANOVA and two-level hierarchical linear models (HLM) to analyze the Program for International Student Assessment (PISA) United States data. The findings suggested that students viewing themselves to be persistent were likely to perform better than those viewing themselves to be less persistent. Also increased time learning in school was associated with increased achievement. However, high-SES students generally spent more time learning in school and viewed themselves to be more persistent. Thus learning time and persistence were not likely to address the SES constraint on achievement for a majority of low-SES students unless schools provided them extra classes and learning opportunities.


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