References of "Fischbach, Antoine 50001789"
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See detailValue-added models: To what extent do estimates of school effectiveness depend on the selection of covariates?
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Scientific Conference (2019, September)

Detailed reference viewed: 99 (6 UL)
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See detailEntwicklung und Validierung eines Kurzfragebogens zur Erfassung von sieben Facetten von Gewissenhaftigkeit
Franzen, Patrick UL; Niepel, Christoph UL; Arens, A Katrin et al

Scientific Conference (2019, September)

Die Rolle von Persönlichkeitsvariablen für den Schulerfolg rückt immer stärker in den Fokus wissenschaftlicher Untersuchungen. Insbesondere Gewissenhaftigkeit zeigt eine hohe prädiktive Validität für die ... [more ▼]

Die Rolle von Persönlichkeitsvariablen für den Schulerfolg rückt immer stärker in den Fokus wissenschaftlicher Untersuchungen. Insbesondere Gewissenhaftigkeit zeigt eine hohe prädiktive Validität für die Schulleistung (Poropat, 2009). Zur näheren Untersuchung des Konstrukts der Gewissenhaft haben MacCann, Duckworth und Roberts (2009) einen aus 68 Items bestehenden Fragebogen zur Erfassung von acht verschiedenen Facetten von Gewissenhaftigkeit im Sekundarschulalter entwickelt. Dieser ist jedoch zu umfangreich für die Verwendung in large-scale Studien, die in der pädagogischen Forschung von zunehmender Bedeutung sind. Der vorliegende Beitrag präsentiert daher die Entwicklung und Validierung einer Kurzform eines Fragebogens zur Erfassung von sieben Facetten von Gewissenhaftigkeit. Die Entwicklungsstichprobe umfasste die Schüler aller neunten Klassen in Luxemburg in 2017 (N1 = 6.325). Die Schüler beantworteten deutsche oder französische Adaptionen eines aus 59 Items und sieben Facetten bestehenden Fragebogens zu Gewissenhaftigkeit, der an das Instrument von MacCann et al. angelehnt war. Zur Entwicklung einer Kurzversion wurde ein exhaustive-search Algorithmus verwendet. Dabei sollte für jede Facette von Gewissenhaftigkeit die bestmögliche Kombination aus vier Items ausgewählt werden. Die Selektionskriterien hierfür waren Fit-Statistiken, interne Konsistenz und Messinvarianz zwischen den Sprachversionen. Der resultierende Fragebogen – bestehend aus 28 Items – wurde 2018 den Schülern aller neunten Klassen in Luxemburg vorgelegt (N2 =6.279). Für diese Validierungsstichprobe zeigte ein Modell mit sieben Faktoren von Gewissenhaftigkeit einen guten Fit (CFI = 0.93, RMSEA = 0.04). Alle Facetten hatten sehr gute Reliabilitäten (ɑs > 0.97). Außerdem fanden wir skalare Messinvarianz zwischen den Sprachversionen und zwischen beiden Geschlechtern. Weitere Validierungsschritte und Anwendungsmöglichkeiten dieses Fragebogens im schulischen Kontext werden diskutiert. Literatur MacCann, C., Duckworth, A.L., & Roberts, R.D. (2009). Empirical identification of the major facets of conscientiousness. Learning and Individual Differences, 19, 451–458. Poropat, A.E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322–338. [less ▲]

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See detailForging and Paving a Future: Immigrant Status and Academic Achievement in Luxembourg
Rivas, Salvador UL; Reichel, Yanica UL; Krämer, Charlotte UL et al

Scientific Conference (2019, August 21)

In the United States, much has been written about the upward or downward social mobility of the so-called, “New Second Generation”. In Europe, this topic has only recently begun to take shape; mostly in ... [more ▼]

In the United States, much has been written about the upward or downward social mobility of the so-called, “New Second Generation”. In Europe, this topic has only recently begun to take shape; mostly in regard to the Netherlands, Germany, France and the UK. In the context of Luxembourg, however, there is very little literature on this topic even though nearly 50% of its population is now of immigrant status. Though small in geography and population, Luxembourg is a founding member of the E.U. and quite literally in the heart of continental Europe. It hosts a diverse set of immigrant groups, continuously attracting economic and some political immigrants, most notably from Italy, the former Yugoslavia and Portugal. Each of these groups arriving at a specific sociohistorical moment: Italians at the height of the steel industry, former Yugoslavians fleeing war, and Portuguese to meet construction and service industry needs. Consequently, Luxembourg is truly a multilingual and multicultural country that makes for a fascinating microcosm to test and explore existing theories of immigrant integration. Its context presents a unique opportunity to study and extrapolate from to anticipate the needs of immigrants elsewhere. Using 2016 data from Luxembourg’s school monitoring programme (ÉpStan), we investigate existing and emerging differences in academic achievement among 1st, 2nd, and later generation immigrant groups in Luxembourg. We analyse math and language proficiencies (German and French) among a cohort of secondary school students (9th grade, N=6286). Preliminary results indicate clear generational differences. These are interpreted in relation to immigrant group characteristics and acculturation in Luxembourg. Implications for the new second generation in the European context will be discussed. [less ▲]

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See detailAssimilation and Contrast Effects of Dimensional Comparisons in Self-Concepts, Interests & Anxieties
van der Westhuizen, Lindie UL; Arens, A. Katrin; Greiff, Samuel UL et al

Scientific Conference (2019, August 16)

Research on the internal/external frame of reference (I/E) model has frequently found contrast effects of dimensional comparisons (i.e. a negative relationship between achievement and self-concept across ... [more ▼]

Research on the internal/external frame of reference (I/E) model has frequently found contrast effects of dimensional comparisons (i.e. a negative relationship between achievement and self-concept across domains) between math and verbal domains. The generalised internal/external frame of reference (GI/E) model extends the I/E model to multiple domains including multiple languages and to other academic self-beliefs and attitudes. When considering multiple languages, achievement-self-concept relations across languages have been found to be either negative (i.e. contrast effect), positive (i.e. assimilation effect), or non-significant. The present study contributes to the ongoing debate concerning the effect of dimensional comparisons among languages by (1) examining dimensional comparisons across two languages and (2) extending the examination to interest and anxiety as outcome variables beyond self-concept. We analysed domain-specific self-concepts, interest, anxieties, and achievement regarding French, German and math in a representative sample (N=5,789) of Luxembourgish ninth-graders. Findings indicated (1) clear contrast effects in the formation of self-concept and interest in German, French and math, and (2) a combination of contrast, assimilation and/or no effects in the formation of anxiety in math, German, and French. With regard to the latter, contrast effects were found for achievement-anxiety paths from German to French, French to German, and French to math. Achievement-anxiety paths from math to French and German to math were non-significant, while the path from math achievement to German anxiety showed a small, yet significant assimilation effect. Results are contextualised within the multilingual Luxembourgish educational system and implications for research on dimensional comparisons are discussed. [less ▲]

Detailed reference viewed: 104 (7 UL)
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See detailValue-added modeling in primary school: What covariates to include?
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Scientific Conference (2019, August)

Detailed reference viewed: 139 (9 UL)
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See detailMethodological Issues in Value-Added Modeling: An International Review from 26 Countries
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

in Educational Assessment, Evaluation and Accountability (2019), 31(3), 257-287

Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students’ achievement. It is gaining increasing importance in ... [more ▼]

Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students’ achievement. It is gaining increasing importance in educational evaluation, teacher accountability, and high-stakes decisions. We analyzed 370 empirical studies on VA modeling, focusing on modeling and methodological issues to identify key factors for improvement. The studies stemmed from 26 countries (68% from the USA). Most studies applied linear regression or multilevel models. Most studies (i.e., 85%) included prior achievement as a covariate, but only 2% included noncognitive predictors of achievement (e.g., personality or affective student variables). Fifty-five percent of the studies did not apply statistical adjustments (e.g., shrinkage) to increase precision in effectiveness estimates, and 88% included no model diagnostics. We conclude that research on VA modeling can be significantly enhanced regarding the inclusion of covariates, model adjustment and diagnostics, and the clarity and transparency of reporting. [less ▲]

Detailed reference viewed: 263 (34 UL)
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See detailThe use of value-added models for the identification of schools that perform “against the odds”
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Poster (2019, July)

Value-added (VA) modeling aims to quantify the effect of pedagogical actions on students’ achievement, independent of students’ backgrounds. VA modeling is primarily used for accountability and high ... [more ▼]

Value-added (VA) modeling aims to quantify the effect of pedagogical actions on students’ achievement, independent of students’ backgrounds. VA modeling is primarily used for accountability and high-stakes decisions. To date, there seems to be no consensus concerning the calculation of VA models. Our study aims to systematically analyze and compare different school VA models by using longitudinal large-scale data emerging from the Luxembourg School Monitoring Programme. Regarding the model covariates, first findings indicate the importance of language (i.e., language(s) spoken at home and prior language achievement) in VA models with either language or math achievement as a dependent variable, with the highest amount of explained variance in VA models for language. Concerning the congruence of different VA approaches, we found high correlations between school VA scores from the different models, but also high ranges between VA scores for single schools. We conclude that VA models should be used with caution and with awareness of the differences that may arise from methodological choices. Finally, we discuss the idea that VA models could be used for the identification of schools that perform “against the odds”, especially for those schools that have positive VA scores over several years. [less ▲]

Detailed reference viewed: 97 (8 UL)
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See detailExploration of Different School Value-Added Models in a Highly Heterogeneous Educational Context
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Scientific Conference (2019, April)

Detailed reference viewed: 122 (16 UL)
See detailLänderbericht Luxemburg: Koordination und Transfer nationaler Bildungsforschung
Lamy, Christian; Fischbach, Antoine UL

Presentation (2019, March)

Detailed reference viewed: 89 (9 UL)
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See detailExperience matters: Bridging the gap between experience- and functionality-driven design in technology-enhanced learning
Rohles, Björn UL; Koenig, Vincent UL; Fischbach, Antoine UL et al

in International Journal on Interaction Design & Architecture(s) (2019), 42

With the growing importance of digital technologies in learning and assessment, it is important to consider user experience (UX) to ensure that tools provide useful functionalities for learning without ... [more ▼]

With the growing importance of digital technologies in learning and assessment, it is important to consider user experience (UX) to ensure that tools provide useful functionalities for learning without overwhelming users, to motivate users and ensure that they have positive learning experiences, and to allow users to realize their potential with the help of technology. Building on a case study of concept mapping for technology-enhanced learning, we combined experience-driven and functionality-driven approaches in co-design sessions in four school classes (67 students). We investigated the anticipated experiences that students imagined as well as the functionalities and characteristics they expected. We found that combining experience-driven and functionality-driven approaches is a valuable method for improving technology-enhanced learning. [less ▲]

Detailed reference viewed: 181 (11 UL)
See detailLes inégalités scolaires dans le système secondaire luxembourgeois dans une perspective dans les temps
Hadjar, Andreas UL; Fischbach, Antoine UL; Backes, Susanne UL

in University of Luxembourg, LUCET; Ministère de l’Éducation nationale, de l’Enfance et de la Jeunesse, SCRIPT (Eds.) Rapport national sur l'éducation au Luxembourg 2018 (2018)

Detailed reference viewed: 159 (16 UL)
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See detailLes compétences scolaires des enfants au début du cycle 2 de l'école fondamentale au Luxembourg et leur développement après deux ans.
Hoffmann, Danielle UL; Hornung, Caroline UL; Gamo, Sylvie UL et al

Report (2018)

Ce chapitre présente les résultats de trois collectes de données (2014, 2015, 2016) des ÉpStan au cycle 2.1 et présente avec quelles compétences scolaires les élèves débutent leur scolarité au début du ... [more ▼]

Ce chapitre présente les résultats de trois collectes de données (2014, 2015, 2016) des ÉpStan au cycle 2.1 et présente avec quelles compétences scolaires les élèves débutent leur scolarité au début du cycle 2.1 et comment celles-ci évoluent sur deux ans. De manière générale, nos résultats montrent que les compétences disciplinaires du cycle 1 portant sur les trois domaines d’apprentissage observés (« compréhension de l’oral en luxembourgeois », « compréhension de l’écrit» et « mathématiques ») sont acquises. Au début du cycle 2.1, la majorité des élèves atteint le Niveau Avancé dans l’ensemble des trois domaines d’apprentissage considérés. Deux ans plus tard, au cycle 3.1, la répartition des élèves sur les différents niveaux de compétence est plus négative qu’au cycle 2.1 et ceci dans la mesure où moins d’enfants ont atteint le Niveau Socle dans l’ensemble des trois domaines d’apprentissage observés. Nos résultats montrent également que, dès le début de la scolarité, différents facteurs extrascolaires (tels que le statut socio-économique et le contexte linguistique) ont une influence extrêmement forte sur les résultats des épreuves et que cette influence augmente au fil des années. [less ▲]

Detailed reference viewed: 137 (5 UL)
See detailBildungsungleichheiten im luxemburgischen Sekundarschulsystem aus zeitlicher Perspektive
Hadjar, Andreas UL; Fischbach, Antoine UL; Backes, Susanne UL

in University of Luxembourg, LUCET; Ministère de l’Éducation nationale, de l’Enfance et de la Jeunesse, SCRIPT (Eds.) Nationaler Bildungsbericht Luxemburg 2018 (2018)

Detailed reference viewed: 192 (30 UL)
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See detailSchulische Kompetenzen von Erstklässlern und ihre Entwicklung nach zwei Jahren.
Hoffmann, Danielle UL; Hornung, Caroline UL; Gamo, Sylvie UL et al

Report (2018)

Dieses Kapitel stellt die Befunde aus drei Datenerhebungen (2014, 2015, 2016) der ÉpStan im Zyklus 2.1 vor und zeigt welche schulischen Kompetenzen Erstklässler am Anfang ihrer Schullaufbahn aufweisen und ... [more ▼]

Dieses Kapitel stellt die Befunde aus drei Datenerhebungen (2014, 2015, 2016) der ÉpStan im Zyklus 2.1 vor und zeigt welche schulischen Kompetenzen Erstklässler am Anfang ihrer Schullaufbahn aufweisen und wie sich diese über zwei Jahre hinweg entwickeln. Allgemein betrachtet, sind die für den Zyklus 1 festgehaltenen Bildungsstandards in den drei überprüften Kernkompetenzen („Luxemburgisch-Hörverstehen“, „Vorläuferfertigkeiten der Schriftsprache“ und „Mathematik“) erfüllt. In allen drei Kompetenzen erreicht die Mehrheit der Schülerinnen und Schüler zu Beginn des Zyklus 2.1 das Niveau Avancé. Zwei Jahre später, im Zyklus 3.1, fällt die Verteilung der Schülerinnen und Schüler auf die verschiedenen Kompetenzränge negativer aus als im Zyklus 2.1. Hier haben vergleichsweise mehr Kinder das Niveau Socle in allen drei Kernkompetenzen noch nicht erreicht. Unsere Befunde zeigen außerdem, dass verschiedene außerschulische Faktoren (wie z. B. sozioökonomische Situation, Sprachhintergrund) bereits sehr früh im Verlauf der Schullaufbahn einen äußerst starken Einfluss auf die Testergebnisse haben und dass sich dieser Einfluss über die Jahre hinweg verstärkt. [less ▲]

Detailed reference viewed: 217 (13 UL)