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Mobbingerfahrungen von Schülerinnen und Schüler mit und ohne Förderbedarf an inklusiven Schulen
(2018)
This investigation examined the dynamic relation between culturally responsive teaching, teacher cultural diversity beliefs, and self-reflection on own teaching. A multiple case study with four ethnic German teachers was conducted using classroom video observations (3 lesson units X 2 raters) and post observation interviews in a culturally and ethnically diverse high school. For these teachers there was a high congruence between culturally responsive teaching and cultural diversity beliefs. Yet their degree of cultural responsiveness and their beliefs differed across teachers. The teachers who were observed to be more culturally responsive also showed elaborated patterns of self-reflection on their own teaching.
Ein diagnostisches Ziel der „Profilanalyse nach Grießhaber“ ist die Testung der grammatischen Fähigkeit zur Verbstellung im Deutschen. Zur erstmaligen Evaluation der Testgüte wurden 403 ein- und mehrsprachige Grundschulkinder randomisiert drei verschiedenen Testmaterialien zugewiesen: Testmaterial, das die Zielkompetenz spezifisch stimulierte, führte zu den besten Testergebnissen. Dies spricht für eine geringe Durchführungsobjektivität. Zudem wurden Deckeneffekte für Grundschulkinder nachgewiesen, weshalb die Profilanalyse nur wenig zwischen den Grammatikfähigkeiten der Kinder differenzieren kann. Auch die Retest-Reliabilität und Auswertungsobjektivität sind noch zu gering. Zusammenfassend wird die Testgüte hinsichtlich aller betrachteten Testgütekriterien als verbesserungswürdig bewertet. Daraus werden die Empfehlungen abgeleitet, die Profilanalyse stärker zu standardisieren und um sensitivere diagnostische Kriterien für das Grundschulalter zu ergänzen. Weitere Ziele der Profilanalyse, z. B. die Verbesserung diagnostischer Kompetenzen von Lehrkräften, sind in Folgeprojekten zu evaluieren.
Social transitions are characterized by an increased heterogeneity in Western societies. Following the life course perspective, individual agency becomes central in shaping one’s life course. This article examines social transitions of adolescents using individual resource theory to explain differences of the timing of five transitions in partnership and family formation: the first sexual experience, the first intimate relationship, the first cohabitation, the first marriage, and the birth of the first child. Since little is so far known about how individual characteristics interact and influence the social transition to adulthood, we focus on the varying impacts of personal, social and socio-economic resources across the social life course. We use longitudinal data from the German LifE-Study, which focuses on the birth cohort of individuals born between 1965 and 1967. Using event history analysis, we find that the timing of the first sexual experience and first partnership transitions are mainly influenced by personal and social ressources, whereas socio-economic resources offer better explanations for the timing of entering marriage and parenthood. Most striking are the different explanatory models for women and men.
In many countries, students are asked about their perceptions of teaching in order to make decisions about the further development of teaching practices on the basis of this feedback. The stability of this measurement of teaching quality is a prerequisite for the ability to generalize the results to other teaching situations. The present study aims to expand the extant empirical body of knowledge on the effects of situational factors on the stability of students’ perceptions of teaching quality. Therefore, we investigate whether the degree of stability is moderated by three situational factors: time between assessments, subjects taught by teachers, and students’ grade levels. To this end, we analyzed data from a web-based student feedback system. The study involved 497 teachers, each of whom conducted two student surveys. We examined the differential stability of student perceptions of 16 teaching constructs that were operationalized as latent correlations between aggregated student perceptions of the same teacher’s teaching. Testing metric invariance indicated that student ratings provided measures of teaching constructs that were invariant across time, subjects, and grade levels. Stability was moderated to some extent by grade level but not by subjects taught nor time spacing between surveys. The results provide evidence of the extent to which situational factors may affect the stability of student perceptions of teaching constructs. The generalizability of the students’ feedback results to other teaching situations is discussed.
Low-achieving students are at risk of experiencing a pattern of emotional, motivational, and cognitive deficits called school-related helplessness if they attribute their low achievement to low aptitude. Teachers' beliefs about the causes of students' low achievement are important sources of attributional information for students. In a sample of 2117 German ninth-graders attending the lowest track, 118 math and 129 German-language teachers, we tested whether teachers' beliefs about the extent to which aptitude causes achievement moderated the achievement-helplessness relation in students and whether there were differences between math and German. Multilevel analyses revealed that low prior achievement predicted higher helplessness in both subjects but the effect was stronger in math than in German. Teachers' beliefs amplified the achievement-helplessness relation in math but not in German. Results are discussed regarding domain-specific epistemological beliefs, and implications for research and practice are derived.
Learning analytics design
(2018)
Instructional designers use learning analytics information to evaluate designs of learning environments, learning materials, and tasks, and adjust difficulty levels, as well as measure the impact of interventions and feedback. Integrating real-time educational data and analysis into the design of learning environments, referred to as learning analytics design (LAD), seems to be a promising approach. Valid pedagogical recommendations may be suggested on the fly as learning analytics methodologies and visualizations evolve and as reliable tools become available and ready for classroom practice. This chapter aims to offer an overview on design and analytics of learning environments before reviewing opportunities of learning analytics design for optimizing learning environments in near real time. Learning analytics (LA) use static and dynamic information about learners and learning environments—assessing, eliciting, and analyzing them—for real-time modeling, prediction, and optimization of learning processes, learning environments, and educational decision-making.