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See detailLong-Term Effects of Retention in Grade 8 in Luxembourg
Klapproth, Florian; Keller, Ulrich UL; Fischbach, Antoine UL

Scientific Conference (2021, September 10)

Meta-analyses (Hattie, 2009; Jimerson, 2001) have suggested that grade retention rarely has positive effects and more often negative effects on students’ performance and psycho-emotional well-being. The ... [more ▼]

Meta-analyses (Hattie, 2009; Jimerson, 2001) have suggested that grade retention rarely has positive effects and more often negative effects on students’ performance and psycho-emotional well-being. The occurrence of negative effects may be due to the absence of new learning experiences (Pagani, Tremblay, Vitaro, Boulerice & McDuff, 2001). However, in the short term, positive effects of grade retention are quite likely to occur (Klapproth, Schaltz, Brunner, Keller, Fischbach, Ugen & Martin, 2016). In Luxembourg, more than half of the students repeat at least one grade within their entire school career (Klapproth & Schaltz, 2015). Since grade retention is applied so frequently, the aim of the current study was to examine long-term effects of grade retention, and particularly retention in grade 8. The data used in this study were drawn from 2,835 Luxembourgish students who completed primary education (grade 6) and began secondary education (grade 7) in the 2008-2009 school year. We conducted propensity-score matching to select retained and promoted students with comparable characteristics. We used the “same age-cohort, same grade, different times of measurement” approach for comparisons (Klapproth et al., 2016). The dependent variables were the school marks in the main subjects (German, French, and mathematics) in grades 10, 11, and 12, which can vary between 0 and 60 (with higher values indicating better achievement, and values below 30 indicating insufficient achievement). Our results showed that grade 8 repeaters obtain significantly lower school marks in grades 10 to 12 as compared to matched non-repeaters, with most negative effects appearing for mathematics and French (as opposed to German) and with negative effects strengthening significantly with time. These results seem to confirm results of previous meta-analyses on longer-term effects of grade retention, seemingly suggesting that grade retention is no effective means to tackle low student achievement. [less ▲]

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See detailStability of Value-Added Models: Comparing Classical and Machine Learning Approaches
Emslander, Valentin UL; Levy, Jessica UL; Scherer, Ronny et al

Scientific Conference (2021, September)

Background: What is the value that teachers or schools add to the evolution of students’ performance? Value-added (VA) modeling aims to answer this question by quantifying the effect of pedagogical ... [more ▼]

Background: What is the value that teachers or schools add to the evolution of students’ performance? Value-added (VA) modeling aims to answer this question by quantifying the effect of pedagogical actions on students’ achievement, independent of students’ backgrounds (e.g., Braun, 2005). A plethora of VA models exist, and several outcome measures are in use to estimate VA scores, yet without consensus on the model specification (Everson, 2017; Levy et al., 2019). Furthermore, it is unclear whether the most frequently used VA models (i.e., multi-level, linear regression, and random forest models) and outcome measures (i.e., language and mathematics achievement) indicate a similar stability of VA scores over time. Objectives: Drawing from the data of a highly diverse and multilingual school setting, where leveling out the influence of students’ backgrounds is of special interest, we aim to (a) clarify the stability of school VA scores over time; (b) shed light on the sensitivity toward different statistical models and outcome variables; and (c) evaluate the practical implications of (in)stable VA scores for individual schools. Method: Utilizing the representative, longitudinal data from the Luxembourg School Monitoring Programme (LUCET, 2021), we examined the stability of school VA scores. We drew on two longitudinal data sets of students who participated in the standardized achievement tests in Grade 1 in 2014 or 2016 and then again in Grade 3 two years later (i.e., 2016 and 2018, respectively), with a total of 5875 students in 146 schools. School VA scores were calculated using classical approaches (i.e., linear regression and multilevel models) and one of the most commonly used machine learning approaches in educational research (i.e., random forests). Results and Discussion: The overall stability over time across the VA models was moderate, with multilevel models showing greater stability than linear regression models and random forests. Stability differed across outcome measures and was higher for VA models with language achievement as an outcome variable as compared to those with mathematics achievement. Practical implications for schools and teachers will be discussed. [less ▲]

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See detailLong-term effects of retention in grade 8 in Luxembourg
Klapproth, Florian; Keller, Ulrich UL; Fischbach, Antoine UL

Scientific Conference (2021, August 26)

Meta-analyses have suggested that grade retention rarely has positive effects and more often negative effects on students’ performance and psycho-emotional well-being. The occurrence of negative effects ... [more ▼]

Meta-analyses have suggested that grade retention rarely has positive effects and more often negative effects on students’ performance and psycho-emotional well-being. The occurrence of negative effects may be due to the absence of new learning experiences. However, in the short term, positive effects of grade retention are quite likely to occur. In Luxembourg, more than half of the students repeat at least one grade within their entire school career. Since grade retention is applied quite frequently, the aim of the current study was to examine long-term effects of grade retention. A representative sample of 2,835 Luxembourgish 8th grade students was used for this study, and propensity score matching was applied to select a control group of promoted students who were similar to the retained students on a variety of characteristics. Furthermore, a type of comparison was used by which the outcome variables of the retained and promoted students were compared at different times while the grade- and age-cohort were held equal between groups. With respect to school marks as an indicator of students’ academic achievement, this study showed that grade 8 retention lowered repeaters’ school marks, on average, in grades 10 to 13, as compared to matched non-repeaters. [less ▲]

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See detailKnowledge assessment with concept maps: Opportunities and challenges
Rohles, Björn UL; Koenig, Vincent UL; Fischbach, Antoine UL et al

Scientific Conference (2021, July)

21st-century digital society poses tremendous challenges for education and assessment. Learners have to understand the complex relations between diverse topics and learn how to learn their entire lives ... [more ▼]

21st-century digital society poses tremendous challenges for education and assessment. Learners have to understand the complex relations between diverse topics and learn how to learn their entire lives. Concept mapping is a promising approach to address these issues. It is a method that uses concepts connected by labeled links to visualize a semantic network of knowledge. Concept mapping is predestined for a digital approach because it allows for easy interactive editing, innovative test items, and incorporation of multimodal information. Concept mapping is available for summative and formative assessment and, thus, provides the opportunity to become a vital part of modern education. The biggest advantage of concept mapping (i.e., a comprehensive and yet comprehensible visualization of complex relations) also represents the biggest challenge when it comes to assessment with - and scoring of - concept maps. The first challenge is the enormous amount of indicators used for scoring concept maps in assessment. A second challenge comes from the fact that educators using concept mapping in their assessment have to understand and interpret the indicators that are used in scoring concept maps. This presentation reports on a Ph.D. project that investigates digital concept mapping in the context of knowledge assessment from a user experience perspective. The results are based on, first, a comprehensive international systematic literature review on concept map scoring, and second, three empirical studies covering the needs and experiences of learners and educators in concept mapping. It presents key findings from the iterative user experience design of a concept mapping tool as part of the online assessment platform OASYS, an overview of indicators used in concept map scoring, and research opportunities in knowledge assessment with concept maps. Finally, it stresses the value that user experience design brings to knowledge assessment with concept maps. [less ▲]

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See detailSocial Inequality in Education: Academic Achievement of First-, Second-, and Later-Generation Immigrant Students in Luxembourg
Rivas, Salvador UL; Reichel, Yanica UL; Krämer, Charlotte UL et al

Scientific Conference (2021, April 08)

Students with immigrant backgrounds are often disadvantaged in public educational systems. In Luxembourg, about 50% of primary and secondary school students have an immigrant background, most notably from ... [more ▼]

Students with immigrant backgrounds are often disadvantaged in public educational systems. In Luxembourg, about 50% of primary and secondary school students have an immigrant background, most notably from Italy, the former Yugoslavia and Portugal. Using data from Luxembourg’s national school monitoring program, we investigate and document for the first time, existing and emerging differences in academic achievement among different immigrant generations of students. Our results indicate that student achievement in Math, German and French is differentially affected by immigrant generational status and language spoken at home. In addition, we find secondary effects of student social background. [less ▲]

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See detailEinleitung: Lernstörungen im multilingualen Kontext – Eine Herausforderung
Ugen, Sonja UL; Schiltz, Christine UL; Fischbach, Antoine UL et al

in Ugen, Sonja; Schiltz, Christine; Fischbach, Antoine (Eds.) et al Lernstörungen im multilingualen Kontext: Diagnose und Hilfestellungen (2021)

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See detailLernstörungen im multilingualen Kontext: Diagnose und Hilfestellungen.
Ugen, Sonja UL; Schiltz, Christine UL; Fischbach, Antoine UL et al

Book published by Melusina Press (2021)

Um Kinder mit einer Lernstörung durch möglichst angepasste Hilfsmaßnahmen unterstützen zu können, ist eine umfassende Diagnostik maßgeblich. Die Diagnostik von Lernstörungen stellt vor allem in ... [more ▼]

Um Kinder mit einer Lernstörung durch möglichst angepasste Hilfsmaßnahmen unterstützen zu können, ist eine umfassende Diagnostik maßgeblich. Die Diagnostik von Lernstörungen stellt vor allem in multilingualen Kontexten - wie in Luxemburg - eine Herausforderung dar. Auch werden derzeit vorwiegend im Ausland entwickelte diagnostische Tests durchgeführt, welche die luxemburgischen Besonderheiten, wie etwa das Erlernen der schriftsprachlichen und mathematischen Kompetenzen in einer Zweit- oder Drittsprache, nicht berücksichtigen. Ausgehend vom aktuellen Forschungs- und Wissensstand wird ein vertieftes Verständnis im Hinblick auf Lese- und Rechtschreibstörungen und Rechenstörungen dargelegt. Darauf aufbauend werden diagnostische Vorgehensweisen sowie pädagogische Hilfsmaßnahmen mithilfe von Erfahrungswerten praktizierender Fachkräfte aus dem luxemburgischen Förderbereich vorgestellt. [less ▲]

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See detailIdentifying Math and Reading Difficulties of Multilingual Children: Effects of Different Cut-offs and Reference Groups
Martini, Sophie Frédérique UL; Schiltz, Christine UL; Fischbach, Antoine UL et al

in Herzog, Moritz; Gürsoy, Erkan; Fritz-Stratmann, Annemarie (Eds.) Diversity Dimensions in Mathematics and Language Learning. Perspectives on culture, education, and multilingualism (2021)

Extensive research is available on language acquisition and the acquisition of mathematical skills in early childhood. But more recently, research has turned to the question of the influence of specific ... [more ▼]

Extensive research is available on language acquisition and the acquisition of mathematical skills in early childhood. But more recently, research has turned to the question of the influence of specific language aspects on acquisition of mathematical skills. This anthology combines current findings and theories from various disciplines such as (neuro-)psychology, linguistics, didactics and anthropology. [less ▲]

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See detailBereit für die Zukunft? Der dritte Bildungsbericht für Luxemburg.
Lenz, Thomas UL; Backes, Susanne UL; Ugen, Sonja UL et al

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

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See detailPrêt pour l’avenir ? Le troisième rapport sur l’éducation au Luxembourg
Lenz, Thomas UL; Backes, Susanne UL; Ugen, Sonja UL et al

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

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See detailDigitalisation du diagnostic pédagogique : De l’évolution à la révolution
Fischbach, Antoine UL; Greiff, Samuel UL; Cardoso-Leite, Pedro UL et al

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

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See detailDigitalisierung der pädagogischen Diagnostik: Von Evolution zu Revolution
Fischbach, Antoine UL; Greiff, Samuel UL; Cardoso-Leite, Pedro UL et al

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

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See detailLa résolution collaborative de problèmes au Luxembourg : Résultats et implications de l’enquête PISA 2015
Krieger, Florian UL; Fischbach, Antoine UL; Greiff, Samuel UL

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

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See detailKollaboratives Problemlösen in Luxemburg: Ergebnisse und Implikationen aus PISA 2015
Krieger, Florian UL; Fischbach, Antoine UL; Greiff, Samuel UL

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

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See detailExperimenter Effects in Children Using the Smileyometer Scale
Lehnert, Florence Kristin UL; Lallemand, Carine UL; Fischbach, Antoine UL et al

Scientific Conference (2020, November 19)

Researchers in the social sciences like human-computer interaction face novel challenges concerning the development of methods and tools for evaluating interactive technology with children. One of these ... [more ▼]

Researchers in the social sciences like human-computer interaction face novel challenges concerning the development of methods and tools for evaluating interactive technology with children. One of these challenges is related to the validity and reliability of user experience measurement tools. Scale designs, like the Smileyometer, have been proven to contain biases such as the tendency for children to rate almost every technology as great. This explorative paper discusses a possible effect of two experimenter styles on the distribution of 6-8 years old pupils' ratings (N= 73) to the Smileyometer. We administered the scale before and after a tablet-based assessment in two schools. Experimenter 1 employed a child-directed speech compared to a monotone speech of Experimenter 2. While brilliant (5 out of 5) was the most frequent answer option in all conditions, the mean scores were higher and associated with a lower variability across both conditions for Experimenter 2. We discuss a possible experimenter effect in the Smileyometer and implications for evaluating children’s user experiences. [less ▲]

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See detailHow do pupils experience Technology-Based Assessments? Implications for methodological approaches to measuring the User Experience based on two case studies in France and Luxembourg
Lehnert, Florence Kristin UL; Lallemand, Carine UL; Fischbach, Antoine UL et al

Scientific Conference (2020, November 12)

Technology-based assessments (TBAs) are widely used in the education field to examine whether the learning goals were achieved. To design fair and child-friendly TBAs that enable pupils to perform at ... [more ▼]

Technology-based assessments (TBAs) are widely used in the education field to examine whether the learning goals were achieved. To design fair and child-friendly TBAs that enable pupils to perform at their best (i.a. independent of individual differences in computer literacy), we must ensure reliable and valid data collection. By reducing Human-Computer Interaction issues, we provide the best possible assessment conditions and user experience (UX) with the TBA and reduce educational inequalities. Good UX is thus a prerequisite for better data validity. Building on a recent case study, we investigated how pupils perform TBAs in real-life settings. We addressed the context-dependent factors resulting from the observations that ultimately influence the UX. The first case study was conducted with pupils age 6 to 7 in three elementary schools in France (n=61) in collaboration with la direction de l’évaluation, de la prospective et de la performance (DEPP). The second case study was done with pupils age 12 to 16 in four secondary schools in Luxembourg (n=104) in collaboration with the Luxembourg Centre for Educational Testing (LUCET). This exploratory study focused on the collection of various qualitative datasets to identify factors that influence the interaction with the TBA. We also discuss the importance of teachers’ moderation style and mere system-related characteristics, such as audio protocols of the assessment data. This study contribution comprises design recommendations and implications for methodological approaches to measuring pupils’ user experience during TBAs. [less ▲]

Detailed reference viewed: 78 (5 UL)