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See detailA systematic review on teachers´ stereotypical beliefs and expectations: Effects of the intersectionality of students’ gender and ethnicity
Pit-Ten Cate, Ineke UL; Glock, Sabine

in Watson, Penelope; Rubie-Davies, Christine; Ertl (Eds.) The Routledge international handbook of gender beliefs, stereotype threat, and teacher expectations (in press)

Educational inequalities for different groups of students have been consistently reported, whereby (dis)advantages have been associated with students´ gender and ethnicity. Such inequalities may be partly ... [more ▼]

Educational inequalities for different groups of students have been consistently reported, whereby (dis)advantages have been associated with students´ gender and ethnicity. Such inequalities may be partly due to teachers´ stereotypical beliefs and expectations, as they affect their judgments and behavior. This chapter presents a systematic review of research on the combined effects of student characteristics on teacher expectations, with a specific focus on the intersectionality of student gender and ethnicity. Following the systematic search of the database 1363 records were identified but after the removal of duplicates and different screening phases, only eight articles describing 11 studies, were retained. Results of these studies show that teacher expectations vary as a function of experience (preservice vs. inservice teachers) and outcome (e.g. school subject). Results provide support for an interplay of gender and ethnicity, rather than a cumulative or dominance effect, on teacher expectation of student academic proficiency and behavior. That is, certain combinations of gender and ethnicity create (dis)advantages for subgroups of students. These results are discussed in terms of theory and future research as well as their implications. [less ▲]

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See detailThe Impact of Multilingualism on Children’s Reading/Writing Skills and Scholastic Performance
Romanovska, Linda UL; Pit-Ten Cate, Ineke UL; Ugen, Sonja UL

Scientific Conference (2023, August 23)

While research on multilingualism has shown both, positive (e.g. inhibition; Coderre et al., 2013), and negative (e.g. vocabulary; Bialystok et al., 2008) effects on cognition and language proficiency ... [more ▼]

While research on multilingualism has shown both, positive (e.g. inhibition; Coderre et al., 2013), and negative (e.g. vocabulary; Bialystok et al., 2008) effects on cognition and language proficiency, its influence on scholastic achievement appears to be largely negative (Hoffmann et al., 2018; Martini et al., 2021). Children in Luxembourg are educated in a multilingual educational system. In Kindergarten, the main teaching language is Luxembourgish. This switches to German for literacy acquisition in elementary school, with French taught as a second language. Despite its small size, Luxembourg is also highly multi-cultural, boasting 170 nationalities (The Government of the Grand Dutchy of Luxembourg, 2023). Thus, many of the children in the school system do not speak the language(s) of instruction at home. Data from the Luxembourgish national school monitoring program reveals significant differences in German reading comprehension in grade 3 depending on the language spoken at home. Because Luxembourgish is linguistically close to German, Luxembourgish-speaking children generally perform better than children who do not speak Luxembourgish at home (Hoffmann et al., 2018; Martini et al., 2021). Furthermore, the language-based differences in children’s scholastic performance complicate the diagnostic process of children with potential learning disorders, such as dyslexia and/or dyscalculia. In Luxembourg, the language in which children are screened and diagnosed for potential learning disorders is usually identical to the main language of instruction at school, which at time of diagnosis (typically grade 3) is German. It is therefore difficult to distinguish poor performance based on potential difficulties with reading/writing or mathematics from poor performance based on low language proficiency in the test language. Furthermore, the diagnostic tools currently employed in Luxembourg are developed in countries with primarily one language of instruction, challenging the validity of the diagnostic process in a multilingual population (Ugen et al., 2021). We have thus developed a comprehensive reading/writing test battery adapted to the Luxembourgish educational curriculum and multilingual environment. Children’s potential language proficiency differences in the test language (German) are taken into account using simplified instructions with reduced language load, multiple examples, varying degrees of difficulty of the test materials, as well as the construction of distinct language-group norms, depending on the language(s) spoken at home. This helps avoid over-diagnosis of reading and writing disorders in children who do not speak the language(s) of instruction at home and underdiagnosis of children who do. The developed test battery assesses children’s performance in key domains relevant for reading and writing comprising phonological skills, (non)word and text reading (fluency and accuracy), reading comprehension, writing, and vocabulary. Furthermore, we link children’s performance in the newly developed test battery to their performance in the Luxembourgish national school monitoring program. Methodology, Methods, Research Instruments or Sources Used We have tested 214 children during the pre-test phase of the project (February – June 2022; age 8 – 12; M = 9.59; SD = 0.68; 95 girls) and will test approximately 735 children during the validation and norming phase (February – June 2023). All children attend grade 3 in public primary schools in Luxembourg. The distribution of classes participating in the project covers all 15 regions of the country, resulting in a representative sample of the Luxembourgish school population. Children complete the 9 sub-tests of the novel reading/writing test battery, which includes precursor skills: Rapid Automatized Naming (RAN), non-word phoneme segmentation, non-word phoneme deletion; reading skills: word and non-word reading, text reading and comprehension; writing skills: gap dictation and text dictation; as well as a receptive vocabulary task. The vocabulary and writing skills are assessed in a group setting (all children complete the tasks together in the classroom), the precursor and reading skills are assessed individually in a quiet room in the school. The total testing time (group test + individual tests) does not exceed 90 minutes per child. All tests are conducted by trained test administrators following a standardised procedure. The pre-test data were analysed per sub-test using Repeated Measures Analysis of Variance with language group as the between-subject factor and results of the sub-test (per category where applicable) as the within subject factor. Significant main effects of language group were explored using post-hoc pairwise-comparisons (Bonferroni corrected t-tests). Four language groups were created based on the frequencies of the reported language(s) spoken at home: Luxembourgish/German monolingual, Luxembourgish/German bilingual, Romance language (e.g., French, Portuguese, Spanish) mono- and bilingual, Other language (e.g., English, Slavic) mono- and bilingual. The results of each sub-test of the novel reading/writing test battery were also correlated with children’s performance on German listening and reading comprehension in the Luxembourgish national school monitoring programme (Bonferroni corrected Pearson correlations). Conclusions, Expected Outcomes or Findings The results of the pre-test phase show that children, who speak Luxembourgish or German at home outperform children who speak a Romance or Other language at home. Particularly, significant differences between language groups were observed for: word reading accuracy (F(3,190) = 4.94, p = .003); word reading fluency (F(3,190) = 4.59, p = .004); text reading accuracy (F(3,190) = 8.73, p < .001); text reading fluency (F(3,190) = 11.50, p < .001); text comprehension (F(3,190) = 12.45, p < .001); gap dictation (F(3,180) = 10.52, p < .001); text dictation (F(3,180) = 18.22, p < .001). The significant main effects of language highlight the need for separate language group norms for screening and diagnostic purposes. The lack of main effects of language for non-word phoneme deletion, non-word phoneme segmentation, and non-word reading indicate that the sub-tests using non-words were successfully constructed to account for language proficiency effects. Significant Pearson correlations between the school monitoring results of German listening (.28 < |𝜌| < .59) and German reading comprehension (.24 < |𝜌| < .65) and the majority of the newly developed sub-tests of the reading/writing test battery were also observed. These correlations provide a measure of construct validity, illustrating the significant link between children’s scholastic performance and performance in the novel reading/writing test battery. We expect to replicate these initial findings with a larger sample of children during the validation and norming phase of the project and supplement our data analyses with more detailed results highlighting the distribution of scores per sub-test based on language spoken at home and its effect on scholastic performance as assessed by the Luxembourgish national school monitoring program. References Bialystok, E., Craik, F., & Luk, G. (2008). Cognitive Control and Lexical Access in Younger and Older Bilinguals. Journal of Experimental Psychology: Learning Memory and Cognition, 34(4), 859–873. https://doi.org/10.1037/0278-7393.34.4.859 Coderre, E. L., van Heuven, W. J. B., & Conklin, K. (2013). The timing and magnitude of Stroop interference and facilitation in monolinguals and bilinguals. Bilingualism, 16(2), 420–441. https://doi.org/10.1017/S1366728912000405 Hoffmann, D., Hornung, C., Gamo, S., Esch, P., Keller, U., & Fischbach, A. (2018). Schulische Kompetenzen von Erstklässlern und ihre Entwicklung nach zwei Jahren. In T. Lentz, I. Baumann, & A. Küpper (Eds.), Nationaler Bildungsbericht (pp. 84–96). University of Luxembourg & SCRIPT. Martini, S., Schiltz, C., Fischbach, A., & Ugen, S. (2021). Identifying Math and Reading Difficulties of multilingual children: Effects of different cut-offs and reference group. In M. Herzog, A. Fritz-Stratmann, & E. Gürsoy (Eds.), Diversity Dimensions in Mathematics and Language Learning (pp. 200–228). De Gruyter Mouton. The Government of the Grand Dutchy of Luxembourg. (2023, January) Society and culture – Population Demographics. https://luxembourg.public.lu/en/society-and-culture/population/demographics.html Ugen, S., Schiltz, C., Fischbach, A., & Pit-ten Cate, I. M. (2021). Lernstörungen im multilingualen Kontext. Diagnose und Hilfestellungen. Melusina Press. https://doi.org/10.26298/bg5s-ng46 [less ▲]

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See detailThe intersectionality of school and student factors in predicting academic achievement
Pit-Ten Cate, Ineke UL; Ottenbacher, Martha UL; Alieva, Aigul et al

Scientific Conference (2023, August 22)

For several decades, sociological research has studied determinants of educational inequalities, whereby most researches have focused on individual students’ characteristics (e.g., Boudon, 1974; Bourdieu ... [more ▼]

For several decades, sociological research has studied determinants of educational inequalities, whereby most researches have focused on individual students’ characteristics (e.g., Boudon, 1974; Bourdieu, 1984), though others also considered system variables such as school composition and segregation (e.g., Jencks, 1974). However, few studies have addressed the possible interaction of system and student characteristics in relation to student academic outcomes (Gross et al., 2016). Educational inequalities in Luxembourg – with a highly stratified, multilingual education system, further characterised by a large proportion of students with a 1st or 2nd generation migrant status - are related to student characteristics (i.e., socio-economic status and migration status) (e.g., Lenz & Heinz, 2018) as well as schools’ social composition (Martins & Veiga, 2010). The present study aimed to investigate especial the intersectional impact of students´ academic and socio-demographic characteristics, school composition and school tracks on students’ academic performance in Luxembourg. It draws on longitudinal data collected as part of the Luxembourg school monitoring programme “Épreuves Standardisées” (ÉpStan; Fischbach et al., 2014) and included all students enrolled in public education Grade 3 (November 2013) matched with data from the same students in Grade 9 (November 2017-2021) including those repeating once or twice (N≈3600). Results of multilevel mixed effects regression analyses show that both Math and language achievement in Grade 9 is affected by student characteristics (gender, SES, migration background and prior achievement), as well as by the school track and school composition (i.e., percentage of Low SES families in 3rd Grade). In addition, some cross-level interaction effects were found. For example, results show that after controlling for prior performance and other individual characteristics, the gender gap in math achievement is more pronounced in the higher than in the middle school track. These results indicate that not only student and system variables, but also their intersectionality affect student achievement outcomes. More specifically, accounting for socio-demographic student characteristics and prior achievement, our results demonstrate a long-term effect of school composition on students´ educational pathways. Student and system characteristics have a direct effect on academic achievement as well as an indirect effect via school tracking. Furthermore, student and system variables interact such that achievement differences between certain groups of students (e.g., boys) may be exacerbated by system characteristics (i.e., school composition). Results will be discussed in relation to theory as well as their possible implications for tailored policy making. References Boudon, R. (1974). Education, opportunity and social inequality: changing prospects in Western society. Wiley. Bourdieu, P. (1984). Distinction: A social critique of the Judgement of taste (translated by R. Nice). Harvard University Press. Fischbach, A., Ugen, S., & Martin, R. (2014). ÉpStan Technical Report. University of Luxembourg ECCS research unit/LUCET. www.epstan.lu Gross, C., Gottburgsen, A., & Phoenix, A. (2016). Education systems and intersectionality. In A. Hadjar & C. Gross (Eds.), Education systems and inequalities (pp. 51–72). Policy Press. Jencks, C. (1974). Inequality: A re-assessment of the effect of family and schooling in America. Lane. Lenz, T., & Heinz, A. (2018). Das Luxemburgische Schulsystem: Einblicke und Trends. In T. Lentz, I. Baumann, & A. Küpper. (Eds.), Nationaler Bildungsbericht Luxemburg 2018 (pp. 22–34). Université du Luxembourg (LUCET) & SCRIPT. Martins, L., & Veiga, P. (2010). Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities? Economics of Education Review, 29(6), 1016–1033. https://doi.org/10.1016/j.econedurev.2010.05.001 [less ▲]

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See detailThe longitudinal impact of student characteristics, school composition and track placement on mathematics performance: Intre- and cross level intersectionality
Pit-Ten Cate, Ineke UL; Ottenbacher, Martha UL; Alieva, Aigul et al

Scientific Conference (2023, June 29)

In recent decades, much sociological inquiry has focused on whether and to what extent education systems are capable of compensating for and equalizing social inequalities. While earlier studies have ... [more ▼]

In recent decades, much sociological inquiry has focused on whether and to what extent education systems are capable of compensating for and equalizing social inequalities. While earlier studies have mainly focused on educational inequalities and their relationship with individual students’ characteristics (e.g., Boudon, 1974; Bourdieu, 1984); or school-level factors, particularly school composition and segregation (e.g., Jencks, 1974), few studies have been concerned with the intersectionality of individual and school-level factors and their impact on the performance of students within and across levels of education (Gross et al., 2016). The present study aims to investigate the intersectional impact of students´ academic and socio-demographic characteristics, school composition and school tracks on students’ mathematics performance in Luxembourg. It draws on data collected as part of the Luxembourg school monitoring programme “Épreuves Standardisées” (ÉpStan; Fischbach et al., 2014) and included all students enrolled in public education Grade 3 (November 2013) matched with data from the same students in Grade 9 (November 2017-2021) including those repeating once or twice (N≈3600). Results of multilevel mixed effects regression analysis show that math achievement in Grade 9 is affected by student gender, SES, migration background and prior achievement, as well as by the school track and school composition (i.e., percentage of Low SES families in school). In addition, a robust cross-level gender x school track interaction effect was found. Results show that after controlling for prior performance and other individual characteristics, the institutional placement of students into different school tracks and school composition in Grade 3 influence test results in Grade 9. The cross-level interaction effect indicates that the boy-girl achievement gap is even more pronounced in the higher (academic) than in the middle (more technical) track. Results support earlier findings that both individual and school composition variables, and especially their intersectionality, contribute to differences in educational outcomes. [less ▲]

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See detailCombined Effects of Students´ Gender and Ethnicity on Teachers´ Stereotype-Based Expectations: A Systematic Review
Pit-Ten Cate, Ineke UL; Glock, Sabine

Scientific Conference (2023, June 29)

Whilst student populations become increasingly heterogeneous, (inter)national large-scale studies report educational inequalities based on shared characteristics of different groups of students. Although ... [more ▼]

Whilst student populations become increasingly heterogeneous, (inter)national large-scale studies report educational inequalities based on shared characteristics of different groups of students. Although differences in educational pathways may be related to interindividual differences in ability and achievement, these inequalities may also be affected by teachers´ beliefs and expectations. Research has demonstrated that teachers´ beliefs and expectations vary as a function of specific student characteristics, whereby teachers have lower expectations for the academic achievement of ethnic minority students (for a review, see Wang et al., 2018). In addition, teachers may have different expectations for boys and girls, especially in regard to domain specific achievement (i.e., mathematical and language proficiency; e.g., de Boer et al., 2010; Holder & Kessels, 2017) and classroom behavior (Arbuckle & Little, 2004; Glock, 2016). Although students present themselves with more characteristics that can activate stereotypical beliefs, most research has focused on a single characteristic and little is known about the effect of the intersection of characteristics. To this extent, one could argue for a cumulative effect of ethnicity and gender, whereby stereotype-based expectations concerning ethnic minority students are amplified by the students´ gender (Ghavami & Peplau, 2012), an interaction effect, whereby different characteristics interact (Purdie-Vaughns & Eibach, 2008) or an inhibition effect, whereby one salient characteristic dominates over the other (Pratto et al., 2006). To investigate these differential effects, we conducted a systematic review on the combined effect of student gender and ethnicity on teacher expectations. Results provide support for an interplay of gender and ethnicity, rather than a cumulative or dominance effect, on teacher expectation of student academic proficiency and behavior. That is, certain combinations of gender and ethnicity create (dis)advantages for subgroups of students. These results will be discussed in terms of theory and future research as well as their implications. [less ▲]

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See detailDiversifikation im Klassenzimmer – ein Einwegspiegel?
Pit-Ten Cate, Ineke UL; Rivas, Salvador UL; Busana, Gilbert UL

Scientific Conference (2023, March 01)

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See detailSchool tracking in Luxembourg: the longitudinal impact of student characteristics and school composition
Pit-Ten Cate, Ineke UL; Ottenbacher, Martha UL; Alieva, Aigul et al

Scientific Conference (2022, December 05)

Research question: The current study aimed to investigate the influence of student and school level factors on school tracking in secondary education. We were especially interested in the association ... [more ▼]

Research question: The current study aimed to investigate the influence of student and school level factors on school tracking in secondary education. We were especially interested in the association between student characteristics and school composition in Grade 3 and school track in Grade 9. Data source: Data were collected as part of the Luxembourg school monitoring programme “Épreuves Standardisées” (ÉpStan; Fischbach et al., 2014). The study cohort include all students enrolled in the Luxembourg public education system in Grade 3 in November 2013 combined with data from the same students in Grade 9 in November 2017-2019 for students following advanced or regular educational pathways, completed with data from November 2020 and 2021 for students that repeated once or twice (N≈3600). Theoretical approach: The study draws upon theoretical frameworks and empirical findings (e.g., Boudon, 1974; Bourdieu, 1984), that have demonstrated students´ socio-demographic characteristics are associated with (dis)advantages for specific groups of students in education systems as well as more recent work focusing on school composition (e.g., Baumert et al., 2006), especially as tracked school systems are known to be prone to social segregation (e.g., Hadjar & Gross, 2016). To date, most research on school segregation in tracked education systems such as Luxembourg has focused on individual student´s characteristics. However, with increasing heterogeneity of student cohorts and known differences in educational opportunities related to the social and ethnic composition of the school’s student body (e.g., Thrupp et al., 2002), the current research extents the existing literature by considering both individual (including prior academic achievement and socio-demographic characteristics) and school level factors (mean academic level and percentage of students from lower socio-economic and migration background) in predicting school track placement. Main findings: Results of a multilevel random effect logistic regression analysis in which we estimated marginal effects on the probability to be placed in the highest, middle or lowest track in Luxembourg show that even after controlling for student´s academic achievement, track placement is affected by the gender and socio-economic background of the student, whereby boys and students from low SES families have less chance to be placed in the highest track. The association with socio-economic background is not only visible on the student level but also on school level, whereby students attending primary schools with a higher percentage of low SES families have less chance to be orientated to the higher track compared to the middle track, regardless of the student´ individual academic performance. [less ▲]

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See detailDevelopment of a test battery to diagnose specific learning disorder in reading in a multilingual education context
Romanovska, Linda UL; Ugen, Sonja UL; Pit-Ten Cate, Ineke UL

Scientific Conference (2022, November 10)

Providing timely and adequate support to children experiencing difficulties in reading and writing is key to minimize the impact on children’s academic achievements, social and emotional well-being ... [more ▼]

Providing timely and adequate support to children experiencing difficulties in reading and writing is key to minimize the impact on children’s academic achievements, social and emotional well-being, particularly for children with specific learning disorders. However, the diagnostic process is especially challenging in Luxembourg’s multilingual educational system with changing instruction languages (Luxembourgish, German, French) and multilingual population. The chosen language of the diagnostic tool is usually identical to the main language of instruction at school, which at time of diagnosis (typically grade 3) is German. This may especially affect the diagnosis of children who do not speak German or Luxembourgish at home as data from the Luxembourgish national school monitoring program reveals significant differences in German reading comprehension in grade 3 depending on the language spoken at home (Hoffmann et al., 2018; Martini et al., 2021). Furthermore, the diagnostic tools currently employed in Luxembourg are developed in countries with primarily one language of instruction, challenging the validity of the diagnostic process in a multilingual population (Ugen et al., 2021). The aim of the current project is to develop a diagnostic tool adapted to the Luxembourgish educational curriculum, that takes children’s potential proficiency differences in the test language into account in the instructions, tasks and resulting norms. This way, over-diagnosis of reading and writing disorders in children who do not speak the main language(s) of instruction at home and underdiagnosis of children who do, can be avoided. The developed test battery assesses children’s performance in key domains relevant for reading and writing comprising phonological skills, (non)word and text reading (fluency and accuracy), reading comprehension, writing, and vocabulary. We will present the pre-test results of 9 sub-tests completed by 214 children, providing the first insights into the test development and validation process.   References Hoffmann, D., Hornung, C., Gamo, S., Esch, P., Keller, U., & Fischbach, A. (2018). Schulische Kompetenzen von Erstklässlern und ihre Entwicklung nach zwei Jahren. In T. Lentz, I. Baumann, & A. Küpper (Eds.), Nationaler Bildungsbericht (pp. 84–96). University of Luxembourg & SCRIPT. Martini, S., Schiltz, C., Fischbach, A., & Ugen, S. (2021). Identifying Math and Reading Difficulties of multilingual children: Effects of different cut-offs and reference group. In M. Herzog, A. Fritz-Stratmann, & E. Gürsoy (Eds.), Diversity Dimensions in Mathematics and Language Learning (pp. 200–228). De Gruyter Mouton. Ugen, S., Schiltz, C., Fischbach, A., & Pit-ten Cate, I. M. (2021). Einleitung: Lernstörungen im multilingualen Kontext – Eine Herausforderung. In Ugen, S., Schiltz, C., Fischbach, A., & Pit-ten Cate, I. M. (Eds.), Lernstörungen im multilingualen Kontext. Diagnose und Hilfestellungen (pp3-7). Luxembourg: Melusina Press. [less ▲]

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See detailSchool Segregation in Primary and Secondary Education in Luxembourg: Track Placement and Academic Achievement
Pit-Ten Cate, Ineke UL; Hadjar, Andreas UL; Alieva, Aigul et al

Scientific Conference (2022, November 09)

Known as a highly stratified education system with early tracking (similar to Dutch, German, Austrian, and German-speaking Swiss systems), Luxembourg features additional properties that add to its ... [more ▼]

Known as a highly stratified education system with early tracking (similar to Dutch, German, Austrian, and German-speaking Swiss systems), Luxembourg features additional properties that add to its complexity in the educational realm (Backes & Hadjar, 2017). It is a simultaneously multilingual system that also has the largest share of students born outside of Luxembourg or parents born abroad. While most migrants come from within Europe, they frequently come from either a particularly high or low socio-economic background. It has been scientifically established that the educational inequalities in Luxembourg are driven mostly by social origin and immigration/language background. Gender is another critical dimension of disadvantage; for example, boys are less motivated to obtain higher education than girls (Hadjar, Scharf, & Hascher, 2021). In addition, gender often intersects with other factors such as immigrant background in shaping disadvantages. However, evidence shows that – beyond individual background characteristics – schools’ social composition also perpetuates inequalities in student achievement (Martins & Veiga, 2010). Therefore, we focus on the role of school-level segregation on student’s academic outcomes over time using data of a longitudinal cohort from the School Monitoring Programme (Éprueve Standardisée (ÉpStan)) with 5097 students in Grade 3 observed in 2013 and later in Grade 9 observed in 2019 (regular pathways) and 2020 and 2021 (irregular pathways, i.e., class repetitions). School segregation is an aggregate measure of the proportion of students who belong to low socio-economic background and the proportion of students born abroad and/or do not speak instruction language at home. Our contribution aims to provide insights into the following questions: 1. Does school-level segregation in primary education (G3) predict student’s track placement in secondary education? 2. Does school-level segregation in primary education (G3) predict student’s math and German achievement in secondary education (G9)? 3. How strongly are achievement outcomes in G9 correlated with within- and between-track segregation in G9? The findings will serve as a complementary base for tailored policy making with respect to the long-term impact of school composition for teaching and learning, especially within a tracked school system. References Becker, S., & Hadjar, A. (2017). Educational trajectories through secondary education in Luxembourg: How does permeability affect educational inequalities? Schweizerische Zeitschrift Für Bildungswissenschaften, 39(3), 437–460. https://doi.org/10.25656/01:16659 Hadjar, A., Scharf, J., & Hascher, T. (2021). Who aspires to higher education? Axes of inequality, values of education and higher education aspirations in secondary schools in Luxembourg and the Swiss Canton of Bern. European Journal of Education, 56(1), 9–26. https://doi.org/10.1111/ejed.12435 Martins, L., & Veiga, P. (2010). Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities? Economics of Education Review, 29(6), 1016–1033. https://doi.org/10.1016/j.econedurev.2010.05.001 [less ▲]

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See detailCambridge hybrid closed-loop system in very young children with type 1 diabetes reduces caregivers’ fear of hypoglycemia and improves their well-being
de Beaufort, Carine UL; Schierloh, Ulrike; Thankamony, A. et al

in Diabetes Care (2022), 45

Objective To evaluate the impact of CamAPS FX hybrid closed-loop automated insulin delivery (HCL) in very young children with type 1 diabetes (T1D) on caregivers’ well-being, fear of hypoglycemia and ... [more ▼]

Objective To evaluate the impact of CamAPS FX hybrid closed-loop automated insulin delivery (HCL) in very young children with type 1 diabetes (T1D) on caregivers’ well-being, fear of hypoglycemia and sleepiness. Research Design Multinational, open label, randomized crossover study. Children (1-7years) with T1D received treatment for two 4-month periods in random order, comparing HCL with sensor augmented pump (SAP) (control). At baseline and after each treatment period, caregivers were invited to complete WHO-5, Hypoglycemia Fear Survey (HFS) and Epworth Sleepiness Scale (ESS). Results Caregivers of 74 children (mean±SD: age 5±2 years; 42% female, baseline HbA1c 7.3±0.7%) participated. Results revealed significantly lower scores for hypoglycemia fear (p<.001) and higher for well-being (p<.001) after HCL treatment. A trend towards a reduction in sleepiness score was observed (p=0.09). Conclusion Our results suggest a better well-being and less hypoglycemia fear in caregivers of very young children with T1D on CamAPS FX HCL. [less ▲]

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See detailKönnen wir den Einfluss stereotyper Erwartungen auf die Übergangsentscheidungen durch Training reduzieren? Theoretisches Wissen, Feedback und formale Entscheidungsregeln
Pit-Ten Cate, Ineke UL; Glock, Sabine

in Glock, Sabine (Ed.) Stereotype in der Schule II: Ursachen und Möglichkeiten der Intervention (2022)

In diesem Kapitel präsentieren wir zwei experimentelle Studien, die darauf abzielen, über Trainings den Einfluss sozialer Hintergrundmerkmale auf die Übergangsempfehlung zu reduzieren. Ein Training ... [more ▼]

In diesem Kapitel präsentieren wir zwei experimentelle Studien, die darauf abzielen, über Trainings den Einfluss sozialer Hintergrundmerkmale auf die Übergangsempfehlung zu reduzieren. Ein Training konzentrierte sich auf die Vermittlung von theoretischem Wissen über Urteilsbildung, ein anderes Training auf die Einübung von statistischen Regeln bzgl. die gewichtete Integration von Schüler*inneninformationen. Die Ergebnisse zeigen, dass die Übergangsentscheidungen der luxemburgischen Lehrkräfte vor den Trainings für Schüler*innen mit Migrationshintergrund weniger genau waren, während diese Tendenz nach dem Training verschwand. Die Urteilsgenauigkeit wurde erhöht, insbesondere bei Entscheidungen für Schüler*innen mit Migrationshintergrund. Die Ergebnisse waren unabhängig von der Art des Trainings. Wir diskutieren weiterhin, dass die für Luxembourg entwickelten Trainings erfolgreich für andere Settings (d. h. für Deutschland und den Niederlanden) angepasst werden können und wurden. In allen drei Settings deuten die Erfahrungen mit den Trainings darauf hin, dass ein zunehmendes Bewusstsein für die Auswirkungen stereotyper Überzeugungen auf Urteile, entweder durch theoretisches Wissen oder durch die systematische Anwendung formaler Entscheidungsregeln, die Entscheidungsprozesse und Urteilsgenauigkeit verbessern kann, was letztendlich zu einer Verringerung von Bildungsungleichheiten führen kann. [less ▲]

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See detailStereotypbasierte Erwartungen und Lehrer*innenverhalten: Auswirkungen eines diagnostischen Etiketts auf die Klassenführung und die Beziehung zwischen Lehrperson und Schüler*innen.
Glock, Sabine UL; Pit-Ten Cate, Ineke UL

Scientific Conference (2022, March 09)

Theoretischer Hintergrund Neben der allgemeinen und domänenspezifischen Kompetenz von Lehrkräften bestimmen die Klassenführung und die Beziehung zwischen Lehrpersonen und Schüler*innen den Lernerfolg der ... [more ▼]

Theoretischer Hintergrund Neben der allgemeinen und domänenspezifischen Kompetenz von Lehrkräften bestimmen die Klassenführung und die Beziehung zwischen Lehrpersonen und Schüler*innen den Lernerfolg der Schüler*innen (Korpershoek et al., 2016). Die Klassenführung umfasst Strategien, die durchgeführt werden, um Ordnung zu schaffen (Doyle, 2006) und die aktive Arbeitszeit zu maximieren (Ophardt & Thiel, 2013), wobei eine Kombination von präventiven und intervenierenden Strategien zu einer effektiven Klassenführung beitragen (Little & Akin-Little, 2008). Das Modell des zwischenmenschlichen Lehrer*innenverhaltens (Wubbels et al., 2006) klassifiziert das Verhalten von Lehrkräften in die zwei Dimensionen Einfluss und Nähe, wobei eine Kombination aus autoritärem und tolerantem Verhalten als optimal angesehen wird (Wubbels & Brekelmans, 2005). Eine effektive Klassenführung und das Verständnis der Lehrkräfte für Faktoren im Zusammenhang mit dem Externalisierungs- und Internalisierungsverhalten von Schüler*innen können im Hinblick auf die Umsetzung inklusiver Bildung besonders relevant sein. Die von Lehrer*innen gewählten Strategien können jedoch durch ihre Überzeugungen und Erwartungen an bestimmte Gruppen von Schüler*innen beeinflusst werden (Bibou-Nakou et al., 2000), die mit Stereotypen in Verbindung stehen. Diese Stereotype können durch Etikettierungen aktiviert werden, beispielsweise durch eine Diagnose von sonderpädagogischem Förderbedarf (Hornstra et al., 2010). Solche Diagnosen können die Erwartungen beeinflussen und zu erhöhter Akzeptanz und Toleranz führen, und Lehrer*innen wenden oft unterschiedliche Standards und Strategien an, um auf diese Schüler*innen zu reagieren und sie zu unterstützen (Andreou & Rapti, 2010; Georgiou et al., 2002). Fragestellung Die Studie zielte darauf ab, die Klassenführung und das zwischenmenschliche Lehrer*innenverhalten als Funktion des Schülerverhaltens und einer klinischen Diagnose zu untersuchen. Wir erwarteten erstens, dass die Lehramtsstudierende bei der Konfrontation mit externalisierendem Verhalten im Vergleich zu internalisierendem Verhalten eine strengere Klassenführung und negativeres zwischenmenschliches Verhalten zeigen und zweitens, dass die Lehramtsstudierenden ihre Strategien in Abhängigkeit von einer Diagnose des sonderpädagogischen Förderbedarfs anpassen. Methode An der Studie haben 254 Lehramtsstudierende (143 weiblich) teilgenommen. Die Teilnehmer*innen wurden gebeten, anhand von Schülervignetten eine Bewertung bezüglich einer passenden Klassenführung (Neuenschwander et al., 2003) und eines angemessenen zwischenmenschlichen Lehrer*innenverhaltens abzugeben (Fisher et al., 1995; Wubbels et al., 2006). Die Schülervignetten beschrieben zwei unterschiedliche Schüler mit externalisierende oder internalisierende Verhaltensauffälligkeiten (s.a. Glock, 2016; Glock & Kleen, 2017). Um den Einfluss der Diagnose auf die Antworten der Teilnehmer*innen zu untersuchen, variierten wir systematisch das Vorliegen einer klinischen Diagnose. Daher folgte die Studie einem 2 (Diagnose: ja/nein) x 2 (Verhalten: internalisierend/externalisierend) Zwischensubjekt Design. Ergebnisse und ihre Bedeutung Die Daten zur Klassenführung wurden mit einer 2x2 MANOVA ausgewertet. Die Ergebnisse zeigten signifikanten Haupteffekte für Schülerverhalten und Diagnose, das heißt die angegebenen Klassenführungsstrategien variierten in Abhängigkeit des Schülerverhaltens (externalisierend vs. internalisierend) und Diagnose (ja/nein). Auch der Interaktionseffekt Verhalten x Diagnose war signifikant. Die Ergebnisse zusätzlicher ANOVAs zeigten, dass Lehramtsstudierende als Antwort auf Schüler mit externalisierenden Verhalten strengere Kontrolle (Regeln setzen) und mehr Flexibilität anwenden als auf internalisierendes Verhalten, vor allem wenn die Schüler mit internalisierenden Verhalten eine Diagnose sonderpädagogischen Förderbedarfs haben. Die Angaben zu dem zwischenmenschlichen Verhalten wurden mit einer 2x2 MANOVA analysiert. Auch hier waren die beiden Haupteffekte (Schülerverhalten und Diagnose) und der Interaktionseffekt (Verhalten x Diagnose) signifikant. Zusätzliche ANOVAs zeigten, dass Lehramtsstudierende im Allgemeinen autoritative zwischenmenschliche Verhaltensmuster bevorzugen, die durch Kooperation und eine gewisse Dominanz charakterisiert werden. Insgesamt zeigen die Befunde, dass Lehramtsstudiere ihre Klassenführung und zwischenmenschliches Verhalten an das Schülerverhalten und an eine klinische Diagnose anpassen. Die Lehramtsstudierenden passten ihre Strategien an, wenn Schüler eine klinische Diagnose erhielten, und wurden toleranter und unterstützender für Schüler mit internalisierendem Verhalten, während sie vor allem strengere Kontrolle und Strategien zur Begrenzung störenden (externalisierenden) Schülerverhalten anwendeten, unabhängig von einer Diagnose. Diese Befunde können teilweise auf bestehende Überzeugungen und Erwartungen hinweisen, insbesondere da die Lehramtsstudierende weniger bereit sind, externalisierendes Verhalten zu tolerieren. [less ▲]

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See detailSubjektives Wohlbefinden in der 5. und 9. Schulklasse: gibt es einen Zusammenhang mit dem Bildungsweg und der schulischen Leistung?
Pit-Ten Cate, Ineke UL; Esch, Pascale UL; Keller, Ulrich UL et al

Scientific Conference (2022, March 09)

Der Bildungsauftrag unserer heutigen Wissensgesellschaft vereint ein vielseitiges Spektrum an Kompetenzen, die den Schüler*innen vermittelt werden sollen. Die Lernziele beinhalten nicht nur akademischen ... [more ▼]

Der Bildungsauftrag unserer heutigen Wissensgesellschaft vereint ein vielseitiges Spektrum an Kompetenzen, die den Schüler*innen vermittelt werden sollen. Die Lernziele beinhalten nicht nur akademischen Erfolg, sondern auch schulisches Wohlbefinden. In der Bildungsforschung haben affektive und sozio-emotionale Faktoren sowie deren Einfluss auf das Erreichen von Lernzielen über die letzten Jahrzehnte an Interesse gewonnen (s.a. Hascher et al., 2018). Subjektives Wohlbefinden (SWB) ist ein komplexes, multidimensionales Phänomen, welches emotionale, soziale und kognitive Facetten umfasst (Hascher & Edlinger, 2009). Das SWB wird als Grundlage für erfolgreiches Lernen betrachtet (Hascher & Hagenauer, 2011), wobei der Zusammenhang je nach Entwicklungsstadium der Schüler*innen variieren kann. Ergebnisse einer Metaanalyse (Bücker et al., 2018) zeigten eine statistisch signifikante mittlere Effektstärke für den Zusammenhang zwischen SWB und Leistung, wobei diese Ergebnisse über verschiedene Ebenen soziodemografischer Merkmale, SWB-Domäne und Indikatoren der Leistung hinweg stabil waren. Außerdem zeigten Gutman und Voraus (2012) in einer längsschnittlichen Studie mit einer Kohorte von Schüler*innen zwischen 7 und 13 Jahren, schwache bis mittlere Korrelationen zwischen unterschiedlichen Dimensionen des Wohlbefindens und aktueller sowie späterer akademischer Leistung. In dieser Studie haben wir den Zusammenhang zwischen verschiedenen Dimensionen des SWB und standardisierten Kompetenztestergebnissen zu verschiedenen Zeitpunkten (5. und 9. Schulkasse) untersucht. Ein erstes Ziel bestand darin, die Unterschiede des Wohlbefindens in Bezug auf das Entwicklungsstadium zu untersuchen, wobei wir auch den Einfluss von Klassenwiederholung und Schulzweig betrachteten. Ein weiteres Ziel der Studie bestand darin, den Zusammenhang zwischen SWB und Leistung unter Berücksichtigung sozio-demografischer Variablen zu ermitteln. Die Ergebnisse basieren auf den Daten der gesamte Kohorte von Fünft- und Neuntklässler*innen (N=5159 bzw. N=6279), die im Rahmen des nationalen Schulmonitoring (Luxembourg School Monitoring Programm „Épreuves Standardisées“; Martin et al., 2015) im November 2018 in Luxemburg erhoben wurden. Im Rahmen dieser Erhebung wurden sowohl standardisierte Schulleistungstests als auch ein Fragebogen zu soziodemographischen und sozio-emotionalen Aspekten durchgeführt. Vier Domäne des SWB wurden erfasst: Selbstkonzept, Schulangst, soziale- sowie emotionale Inklusion. Die standardisierten Leistungstests umfassten Leseverstehen in Deutsch und Französisch sowie Mathematik. Zusätzlich wurden über einen Schüler- oder Elternfragebogen weitere sozio-demographische Merkmale erfasst. Der Zusammenhang zwischen SWB und Entwicklungsstadium (Schulklasse) unter Einbeziehung von Klassenwiederholung und Schulzweig wurde mittels zwei mixed model Analysen überprüft. Die Ergebnisse zeigten, dass Schüler*innen in der 5. Klasse höhere Werte von SWB angaben als Schüler*innen in der 9. Klasse, F(8,121164)=180.61, p<.001. Zusätzlich wurde das SWB negativ beeinflusst durch Klassenwiederholung, F(8, 63989)=17.75, p<.001. Neuntklässler*innen in anspruchsvolleren Schulzweigen gaben höhere Werte von SWB an als Schüler*innen in niedrigeren Schulzweigen, F(2,40219)=15.71, p<001. Die Schulleistung wurde über eine schrittweise Regression vorhergesagt: zunächst wurden sozio-demographische Hintergrundvariable (Geschlecht, Migrationshintergrund, HISEI der Eltern) dem Model hinzugefügt und, in einem zweiten Schritt, Indikatoren des SWB. Die Ergebnisse zeigten, dass in der 5. Klasse 13% und in der 9. Klasse 19% der Varianz in der Schulleistung durch soziodemografische Variablen vorausgesagt werden kann. Sowohl für Fünft- als auch für Neuntklässler*innen, erklärten die Dimensionen des SWB zusätzliche 6% bzw. 4% der Varianz. Die Ergebnisse dieser Studie zeigten, dass Entwicklungsstadium, Klassenwiederholung und Schulzweig einen Einfluß auf das SWB der Schüler*innen haben. Darüber hinaus zeigten die Ergebnisse, dass das SWB über soziodemografische Merkmale hinaus zur Erklärung der schulischen Leistung beiträgt. In Anbetracht ihrer Ergebnisse, kann diese Studie auch die Diskussion um Klassenwiederholung als pädagogische Intervention und um die Praxis der Aufgliederung von Schüler*innen nach Leistungsniveau innerhalb und zwischen Schulformen bereichern. Während sich die meisten Studien zu den Effekten dieser Interventionen auf die schulische Leistung konzentrierten, zeigt die vorliegende Studie, dass diese Maßnahmen auch das SWB betreffen. Weitere (längsschnittliche) Studien könnten darauf eingehen, inwieweit es letztendlich zu einem kumulativen Effekt auf die schulische Leistung kommen kann oder ob und inwiefern das SWB den Zusammenhang zwischen diesen Faktoren und der schulischen Leistung beeinflussen kann. [less ▲]

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See detailAcademic Achievement and Subjective Well-being: A Representative Cross-sectional Study
Wollschläger, Rachel UL; Esch, Pascale UL; Keller, Ulrich UL et al

in Heinen, Andreas; Samuel, Robin; Vögele, Claus (Eds.) et al Wohlbefinden und Gesundheit im Jugendalter (2022)

Formal education is a very important, time-intensive, and highly consequential aspect of adolescents’ everyday life. School as well as education can influence adolescents’ well-being in both the short ... [more ▼]

Formal education is a very important, time-intensive, and highly consequential aspect of adolescents’ everyday life. School as well as education can influence adolescents’ well-being in both the short- and long-term. In return, adolescents’ well-being in- and outside school may affect their educational achievement. The objective of the present study is to investigate how self-reported dimensions of adolescents’ subjective well-being (SWB) in an educational context (i.e., academic self-concept, school anxiety, social and emotional inclusion) relate to educational pathways (regular vs. irregular school transitions; attendance of more vs. less prestigious secondary school tracks) and standardized assessment scores in key academic areas (i.e., mathematics and languages). Drawing on representative data emerging from the Luxembourg School Monitoring Programme “Épreuves Standardisées” (academic year 2018/2019), the relationship between academic achievement and students’ self-reported well-being was analysed cross-sectionally for the entire student cohorts of 5th and 9th graders. Result indicated that grades and educational pathways affect SWB, whereby in general lower ratings of SWB were observed in older students, students that experienced grade retention and students in lower secondary school tracks. Furthermore, ratings of SWB explained a significant proportion of variance in academic achievement in bot Grade 5 and Grade 9. These findings highlight the importance of student´ SWB in education. SWB may not only affect academic achievement, but also impact motivation and engagement and hence long-term educational success. Implications of the findings for research and educational debate are discussed. [less ▲]

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See detailBefunde aus dem nationalen Bildungsmonitoring ÉpStan vor dem Hintergrund der COVID-19- Pandemie
Fischbach, Antoine UL; Colling, Joanne UL; Levy, Jessica UL et al

in LUCET; SCRIPT (Eds.) Nationaler Bildungsbericht Luxemburg 2021 (2021)

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See detailRésultats du monitoring scolaire national ÉpStan dans le contexte de la pandémie de COVID-19
Fischbach, Antoine UL; Colling, Joanne UL; Levy, Jessica UL et al

in LUCET; SCRIPT (Eds.) Rapport national sur l’éducation au Luxembourg 2021 (2021)

Detailed reference viewed: 52 (3 UL)