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Editorial
(2019)
Wiedereinstieg in den Lehrerberuf nach der Flucht mit dem Refugee Teachers Program in Brandenburg
(2019)
Die durch die Fluchtmigration ausgelösten aktuellen gesellschaftspolitischen Herausforderungen erfordern auch in der Lehrer*innenbildung institutionelle Weiterentwicklungsprozesse. Der vorliegende Beitrag befasst sich mit der Bedeutung der Fluchtmigration für die Lehrer*innenbildung. Am Beispiel des Refugee Teachers Program an der Universität Potsdam wird ein universitäres Bildungsangebot zur Nachqualifizierung für geflüchtete Lehrkräfte vorgestellt. Dabei fokussieren wir die konzeptionellen Grundlagen, die Struktur und die Inhalte des Programms und diskutieren es im Kontext aktueller Fragestellungen der Lehrer*innenbildung.
Achievement emotions are important prerequisites for academic outcomes and well-being, yet little is known about their relation to teaching quality. This study examines the relation between student-perceived teaching quality in mathematics classrooms in grade 9 and enjoyment, anxiety, and boredom in grade 10, at both the student and classroom levels. The original data set included 6020 students who participated in the German national extension of the Programme for International Student Assessment (PISA). Multilevel regression analyses showed that teacher support and classroom management were negatively related to student-level anxiety and boredom. Teacher support was positively related to enjoyment and negatively related to anxiety at the classroom level. Cognitive activation was positively related to enjoyment and negatively related to boredom at the classroom level. Classroom management was negatively related to classroom-level boredom. These results provide insight into differential classroom processes regarding the role of teaching quality in various aspects of student achievement emotions.
Neben familiären Merkmalen hat sich die Kindergartenqualität als bedeutsam für den Wortschatz von Kindergartenkindern gezeigt. Die drei Dimensionen der Kindergartenqualität, die Struktur‑, Orientierungs- und Prozessqualität, wurden bisher jedoch nicht simultan und domänenspezifisch in Bezug auf den Wortschatz untersucht. In der vorliegenden Studie wird der Frage nachgegangen, wie die Dimensionen der Kindergartenqualität unter Berücksichtigung familiärer Merkmale mit dem Wortschatz von Kindern auf Individual- und Kindergartenebene zusammenhängen. Die Datengrundlage bildete eine Teilstichprobe des nationalen Bildungspanels („National Educational Panel Study“, NEPS) mit N = 1165 Kindern in 139 Kindergärten. Die durchgeführten Mehrebenenanalysen ergaben, dass zur Prädiktion des Wortschatzes auf Individualebene die familiären Merkmale bedeutsam waren, während Unterschiede zwischen Kindergärten mittels der Kindergartenqualität erklärt werden konnten. Dabei waren alle drei Qualitätsdimensionen relevant. Die Ergebnisse werden vor dem Hintergrund verschiedener Qualitätskonzeptionen diskutiert.
Background Problem behaviour theory postulates that different forms of norm violations cluster and can be explained by similar antecedents. One such cluster may include cyberbullying and cyberhate perpetration. A potential explanatory mechanism includes toxic online disinhibition, characterised by anonymity, an inability to empathise and to recognise and interpret social cues. The current study to develop a better understanding of the relationship between cyberhate and cyberbullying to inform effective intervention and prevention efforts. Aims To test the link between cyberbullying and cyberhate and whether this relationship was moderated by toxic online disinhibition. Methods Self-report questionnaires on cyberbullying, cyberhate, and toxic online disinhibition were completed by 1,480 adolescents between 12 and 17 years old (M = 14.21 years; SD = 1.68). Results Increases in cyberbullying perpetration and toxic online disinhibition were positively related to cyberhate perpetration. Furthermore, cyberbullies reported more cyberhate perpetration when they reported higher levels of toxic online disinhibition and less frequent cyberhate perpetration when they reported lower levels of toxic online disinhibition. Conclusion The current study provides evidence of a possible link between cyberbullying and cyberhate perpetration, moderated by toxic online disinhibition. This suggests that, to be effective, prevention and intervention programmes should (i) consider the co-occurrence of varying forms of cyberaggression and (ii) consider potential effects of the online environment on aggressive online behaviour among young people.
This study addresses the question of how age of acquisition (AoA) affects grammatical processing, specifically with respect to inflectional morphology, in bilinguals. We examined experimental data of more than 100 participants from the Russian/German community in Berlin, all of whom acquired Russian from birth and German at different ages. Using the cross-modal lexical priming technique, we investigated stem allomorphs of German verbs that encode multiple morphosyntactic features. The results revealed a striking AoA modulation of observed priming patterns, indicating efficient access to morphosyntactic features for early AoAs and a gradual decline with increasing AoAs. In addition, we found a discontinuity in the function relating AoA to morphosyntactic feature access, suggesting a sensitive period for the development of morphosyntax.
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.
What is the added value from attending a certain school or being taught by a certain teacher? To answer this question, the value-added (VA) model was developed. In this model, the actual achievement attained by students attending a certain school or being taught by a certain teacher is juxtaposed with the achievement that is expected for students with the same background characteristics (e.g., pretest scores). To this end, the VA model can be used to compute a VA score for each school or teacher, respectively. If actual achievement is better than expected achievement, there is a positive effect (i.e., a positive VA score) of attending a certain school or being taught by a certain teacher. In other words, VA models have been developed to “make fair comparisons of the academic progress of pupils in different settings” (Tymms 1999, p. 27). Their aim is to operationalize teacher or school effectiveness objectively. Specifically, VA models are often used for accountability purposes and high-stakes decisions (e.g., to allocate financial or personal resources to schools or even to decide which teachers should be promoted or discharged). Consequently, VA modeling is a highly political topic, especially in the USA, where many states have implemented VA or VA-based models for teacher evaluation (Amrein-Beardsley and Holloway 2017; Kurtz 2018). However, this use for high-stakes decisions is highly controversial and researchers seem to disagree concerning the question if VA scores should be used for decision-making (Goldhaber 2015). For a more exhaustive discussion of the use of VA models for accountability reasons, see, for example, Scherrer (2011).
Given the far-reaching impact of VA scores, it is surprising that there is scarcity of systematic reviews of how VA scores are computed, evaluated, and how this research is reported. To this end, we review 370 empirical studies from 26 countries to rigorously examine several key issues in VA modeling, involving (a) the statistical model (e.g., linear regression, multilevel model) that is used, (b) model diagnostics and reported statistical parameters that are used to evaluate the quality of the VA model, (c) the statistical adjustments that are made to overcome methodological challenges (e.g., measurement error of the outcome variables), and (d) the covariates (e.g., pretest scores, students’ sociodemographic background) that are used when estimating expected achievement.
All this information is critical for meeting the transparency standards defined by the American Educational Research Association (AERA 2006). Transparency is vital for educational research in general and especially for highly consequential research, such as VA modeling. First, transparency is highly relevant for researchers. The clearer the description of the model, the easier it is to build upon the knowledge of previous research and to safeguard the potential for replicating previous results. Second, because decisions that are based on VA scores affect teachers’ lives and schools’ futures, not only educational agents but also the general public should be able to comprehend how these scores are calculated to allow for public scrutiny. Specifically, given that VA scores can have devastating consequences on teachers’ lives and on the students they teach, transparency is particularly important to evaluate the chosen methodology to compute VA models for a certain purpose. Such evaluations are essential to answer the question to what extent the quality of VA scores allows to base far-reaching decisions on these scores for accountability purposes.
Übergänge im Bildungssystem sind zentrale Stationen für die Generierung von sozialer Ungleichheit. Während die Bildungswege und die Bedeutung der sozialen Ungleichheit für den Schulbereich umfangreich untersucht wurden, liegen kaum Studien zu den nachschulischen Bildungsverläufen von Hochschulzugangsberechtigten und dem Einfluss der sozialen Herkunft bis zur Aufnahme einer Promotion vor. Daher ist es das Ziel der vorliegenden Arbeit, die Gestaltung nachschulischer Bildungsverläufe zu untersuchen sowie die Bedeutung der sozialen Herkunft vom Abitur bis zur Promotionsaufnahme zu analysieren. Den beiden Forschungsfragen wurde in vier Teilstudien nachgegangen. In Teilstudie 1 wurde die Relevanz von Merkmalen des Bildungsverlaufes für die Promotionsaufnahme untersucht. Der Schwerpunkt der drei folgenden Teilstudien lag auf der Bedeutung der sozialen Herkunft bei Aufnahme einer Promotion beziehungsweise der sozialen Ungleichheit in den relevanten Selektionsstufen des nachschulischen Bildungsverlaufs bis zur Promotionsaufnahme. In Teilstudie 2 wurden diesbezüglich soziale Herkunftseffekte bei der für eine Promotionsaufnahme bedeutsamen Wahl der Hochschulform untersucht, in Teilstudie 3 die Mechanismen hinter sozialen Herkunftseffekten bei Promotionsaufnahme analysiert und in Teilstudie 4 wurde soziale Ungleichheit bei Studienaufnahme und Promotionsaufnahme vergleichend betrachtet. Als Datengrundlage wurde die Längsschnittstudie BIJU (Bildungsverläufe und psychosoziale Entwicklung im Jugend- und jungen Erwachsenenalter) herangezogen. Die Befunde der Dissertation verweisen auf die Relevanz sozialer Ungleichheiten vom Eintritt in die Hochschule bis zum Übergang in die Promotion. Auch wenn ein abnehmender Herkunftseffekt vom Übertritt ins Studium zum Übertritt in die Promotion vorliegt, sind soziale Herkunftseffekte bei dem späten Bildungsübergang noch sichtbar. Zudem zeigt sich die Bedeutung von Pfadabhängigkeiten in Bildungsverläufen sowie von Leistungsunterschieden für eine Promotionsaufnahme.