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We investigate the effectiveness of professional development (PD) aimed at promoting teachers' language-support skills in elementary school science instruction. In a 2-year quasi-experimental field trial study with 32 teachers in Germany, an intervention group (IG) and a control group (CG) received PD for teaching selected science topics; the IG additionally received PD for language support. Strong treatment effects emerged on teachers’ language-support skills and, to a lesser extent, on language support activities in classroom teaching. All teachers gained pedagogical content knowledge and self-efficacy for teaching elementary school science, thus pointing to the effectiveness of the PD.
The ability to delay gratification, to wait for a larger but delayed reward in the presence of a smaller but constantly available reward, has been shown to be predictive for various aspects of everyday life. For instance, preschool children who were better able to delay gratification achieved better school grades, a higher education, a better ability to cope with stress, as well as a reduced risk for being overweight or consume drugs up to 30 years later (Mischel et al., 2011). However, despite the importance of delay of gratification cognitive factors underlying individual differences are only poorly understood. Wittmann and Paulus (2008) suggested that individuals who overestimate the duration of time intervals experience waiting times as more costly and are, therefore, less likely to delay gratification. Furthermore, a recent study revealed an association between less accurate internal clock speed and a behavioral choice delay task (Corvi, Juergensen, Weaver, & Demaree, 2012). Further evidence for an association between temporal processing and delay of gratification can be derived from studies using clinical samples. For instance, children with attention-deficit/hyperactivity disorder (ADHD) consistently prefer smaller, immediate rewards over larger, delayed rewards and show impaired temporal processing (Sonuga-Barke, Bitsakou, & Thompson, 2010). However, no study has directly tested an association between a measure of temporal processing and a classical delay of gratification task in children with and without ADHD so far.
As part of a larger study, 64 children (29 with ADHD) aged between 8 to 12 years performed a version of an auditory duration discrimination task and a delay of gratification task. In the duration discrimination task, the children were presented with two unfilled intervals indicated by two brief tones each. The baseline interval lasted for 400 ms, while the comparison interval was always longer and adjusted up or down in 10 ms steps securing an accuracy of 80%. In the delay of gratification task, the children were instructed that they could either opt for one chocolate bar immediately or that they could wait to receive two chocolate bars. Unbeknownst to the children, the waiting time lasted 25 minutes but children were told that they could decide for the immediate chocolate bar at any time by ringing a bell.
Children with ADHD did not differ in their performance from children without ADHD in the duration discrimination task or the delay of gratification task. However, in the whole sample of children with and without ADHD, children who waited for the additional chocolate bar showed a better duration discrimination than children who failed to wait for the additional chocolate bar [t(62) = -2.52, p = .01].
We demonstrated an association between temporal processing ability and the ability to delay gratification. These results need to be replicated in further studies with larger sample sizes. Moreover, different tasks measuring temporal processing and delay of gratification should be used to further clarify the relationship of temporal processing, delay of gratification, and ADHD.
Thought structures of modelling task solutions and their connection to the level of difficulty
(2015)
Although efforts have been made to integrate the concept of mathematical modelling in school, among others PISA and TIMSS revealed weaknesses of not only German students in the field of mathematical modelling. There may be various reasons starting from educational policy via curricular issues to practical instructional concerns. Studies show that mathematical modelling has not been arrived yet in everyday school class (Blum &BorromeoFerri, 2009, p. 47). Thus, the proportion of mathematical modelling in everyday school classes is low (Jordan et al., 2006). When focusing on the teachers’ point of view there are difficulties which may contribute to avoid modelling tasks in class. The development of reasonable modelling tasks, estimating the task space, valuating the task difficulty and assessing the student solutions are difficulties which occur to an increasing degree compared to ordinary mathematics tasks.The project MokiMaS (transl.: modeling competency in math classes of secondary education) aims at providing inter-year modelling tasks, whose task space and level of difficulty is known, together with an evaluation scheme. In particular a theory based method has been developed to determine the level of difficulty of modelling tasks on the basis of thought structures, representing the cognitive load of solution approaches. The current question is whether this method leads to a realistic rating. To go further into that question an evaluation scheme has been developed which is guided by the daily assessment work of teachers, to investigate the relation of task difficulty and student performance.
No more technology? A TPACK-survey for pre-service teachers with social media in the digital world
(2023)
In the digital age, social media are integrated into everyday life. To include corresponding topics of the digital world in the classroom, future teachers require specific knowledge and abilities. The extent to which these prerequisites are connected to technology, however, needs to be reevaluated in light of social media's ubiquitous nature. Through adopting the TPACK model for an exemplary topic of the digital world, constructions of space in Geography education, a self-evaluation survey instrument for pre-service teachers is compiled and validated (n = 364); social media are conceptualized as an aspect of technological knowledge. Confirmatory factor analysis confirms that the TPACK model is appropriate for the data, as fit-indices show favorable results. A transformative view of the model is supported. Correlations among all constructs exist, endorsing previous studies’ findings on the difficulties in distinguishing the TPACK knowledge constructs. Technological knowledge, noticeably, displays comparatively low correlations with the other knowledge constructs. This result is contrary to previous studies on TPACK and social media, as well as the relation of TPACK to technological knowledge. Albeit these results are not generalizable for all digital world content in pre-service teacher education, this study, by way of example, contributes to a debate on the conceptualization of technological knowledge when introducing phenomena of the digital world that are related to social media through the TPACK model. Additionally, this study advances research in the area of embedding pre-service teacher education with social media in domain-specific pedagogies.
This paper studies the intergenerational effects of parental unemployment on students’ post-secondary transitions. Besides estimating the average treatment effect of parental unemployment on transition outcomes, we identify the economic, psychological or other intra-familial mechanisms that might explain any adverse impact of parental unemployment. Using longitudinal data from the German Socio-Economic Panel and propensity score matching estimators we find that paternal unemployment has an adverse impact on the likelihood of entering tertiary education, whereas maternal unemployment does not. We also find that the magnitude of the effect depends on the duration of unemployment. Even though we are unable to fully account for the underlying mechanisms, our mediation analysis suggests that the effect of paternal unemployment is not due to the loss of income, but relates to the negative consequences of unemployment for intra-familial well-being and students’ declining optimism about their academic prospects.
Children from upper-class families have better cognitive outcomes and fewer behavioural problems than those from working-class families. Previous studies highlighted that the class gap in child development is partially driven by differences in parenting styles, but they rarely looked at multiple, more specific dimensions of parenting, i.e., inductive reasoning, parenting consistency, warmth and anger. This study provides a systematic account of how parental social class shapes these four dimensions of parenting, and how these dimensions affect children’s cognitive outcomes and behavioural problems. Using high-quality, longitudinal data, and both hybrid models and the generalized methods of moments, this study reports two main findings. First, upper-class parents significantly differ from lower-class parents in two parenting dimensions, displaying more inductive reasoning and parenting consistency, but no relevant class differences are found in the two emotion-type dimensions of parenting (i.e., warmth and anger). Second, all four parenting dimensions have a strong impact on children’s behavioural problems, while they do not affect cognitive outcomes. An exception is consistency, the only dimension that affects both types of child outcomes. The study underscores the relevance of analysing parenting and child development from a multidimensional approach to better understand how upper-class parents transmit advantage to children.
An increasing number of voices highlight the need for science itself to transform and to engage in the co-production of knowledge and action, in order to enable the fundamental transformations needed to advance towards sustainable futures. But how can global sustainability-oriented research networks engage in co-production of knowledge and action? The present article introduces a strategic tool called the ‘network compass’ which highlights four generic, interrelated fields of action through which networks can strive to foster co-production. It is based on the networks’ particular functions and how these can be engaged for co-production processes. This tool aims to foster self-reflection and learning within and between networks in the process of (re)developing strategies and activity plans and effectively contributing to sustainability transformations.
Goal setting is vital in learning sciences, but the scientific evaluation of optimal learning goals is underexplored. This study proposes a novel methodological approach to determine optimal learning goals. The data in this study comes from a gamified learning app implemented in an undergraduate accounting course at a large German university. With a combination of decision trees and regression analyses, the goals connected to the badges implemented in the app are evaluated. The results show that the initial badge set already motivated learning strategies that led to better grades on the exam. However, the results indicate that the levels of the goals could be improved, and additional badges could be implemented. In addition to new goal levels, new goal types are also discussed. The findings show that learning goals initially determined by the instructors need to be evaluated to offer an optimal motivational effect. The new methodological approach used in this study can be easily transferred to other learning data sets to provide further insights.
Mathematical arguments are central components of mathematics and play a role in certain types of modelling of potential mathematical giftedness. However, particular characteristics of arguments are interpreted differently in the context of mathematical giftedness. Some models of giftedness see no connection, whereas other models consider the formulation of complete and plausible arguments as a partial aspect of giftedness. Furthermore, longitudinal changes in argumentation characteristics remain open. This leads to the research focus of this article, which is to identify and describe the changes of argumentation products in potentially mathematically gifted children over a longer period. For this purpose, the argumentation products of children from third to sixth grade are collected throughout a longitudinal study and examined with respect to the use of examples and generalizations. The analysis of all products results in six different types of changes in the characteristics of the argumentation products identified over the survey period and case studies are used to illustrate student use of examples and generalizations of these types. This not only reveals the general importance of the use of examples in arguments. For one type, an increase in generalized arguments can be observed over the survey period. The article will conclude with a discussion of the role of argument characteristics in describing potential mathematical giftedness.
Teacher’s self-efficacy is a relevant judgement of self-belief by teachers. Studies reveal inverse response bias of teachers’ self-assessment. Parallel item presentation can be used as a method to reduce such distortions. The major goal of this study was to develop and verify such a measure of parallel item presentation in order to compare self-efficacy of qualified and out-of-field PE teachers. Therefore out-of-field and qualified PE student teachers (N = 68) were randomised into two groups. They responded to 14 self-efficacy items related to classroom subjects and PE teaching. One group of out-of-field (n = 17) and qualified (n = 18) PE student teachers was presented with the items in parallel so that they could compare classroom and PE teaching items. For the other group of out-of-field (n = 11) and qualified (n = 22) PE student teachers, the items were presented sequentially so that no direct comparison was possible. Data was analysed using nested ANOVA. The results reveal that with a dimensional item comparison, out-of-field PE teachers have a significantly lower self-efficacy in PE than qualified PE student teachers (p = .006, ηp2 = .18). Without comparison, there is no significant difference. The method of parallel item representation can thus contribute to the reduction of inverse response bias.