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Young people and the Family
(1998)
Over the past few years, studying abroad and other educational international experiences have become increasingly highly regarded. Nevertheless, research shows that only a minority of students actually take part in
academic mobility programs. But what is it that distinguishes those students who take up these international opportunities from those who do not? In this
study we reviewed recent quantitative studies on why (primarily German) students choose to travel abroad or not. This revealed a pattern of predictive factors. These indicate the key role played by students’ personal and social background, as well as previous international travel and the course of studies they are enrolled in. The study then focuses on teaching students. Both facilitating and debilitating factors are discussed and included in a model illustrating the decision-making process these students use. Finally, we discuss the practical implications for ways in which international, studyrelated travel might be increased in the future. We suggest that higher education institutions analyze individual student characteristics, offering differentiated programs to better meet the needs of different groups, thus raising the likelihood of disadvantaged students participating in academic international travel.
This study investigates the relationship between teacher quality and teachers’ engagement in professional development (PD) activities using data on 229 German secondary school mathematics teachers. We assessed different aspects of teacher quality (e.g. professional knowledge, instructional quality) using a variety of measures, including standardised tests of teachers’ content knowledge, to determine what characteristics are associated with high participation in PD. The results show that teachers with higher scores for teacher quality variables take part in more content-focused PD than teachers with lower scores for these variables. This suggests that teacher learning may be subject to a Matthew effect, whereby more proficient teachers benefit more from PD than less proficient teachers.
This study investigates the relationship between teacher quality and teachers’ engagement in professional development (PD) activities using data on 229 German secondary school mathematics teachers. We assessed different aspects of teacher quality (e.g. professional knowledge, instructional quality) using a variety of measures, including standardised tests of teachers’ content knowledge, to determine what characteristics are associated with high participation in PD. The results show that teachers with higher scores for teacher quality variables take part in more content-focused PD than teachers with lower scores for these variables. This suggests that teacher learning may be subject to a Matthew effect, whereby more proficient teachers benefit more from PD than less proficient teachers.
When knowing is believing
(2018)
In an effort to understand teachers' technology use, recent scholarship has explored the idea of technological pedagogical content knowledge (TPCK or TPACK). Many studies have used self-reports to measure this knowledge (SR TPCK). Several studies have examined the construct validity of these assessments by analysing the internal relationships of the knowledge domains, but little attention has been paid to how SR TPCK relates to external criteria. We tackled this question of discriminant validity by reanalysing 2 data sets. We used correlation and multiple regression analyses to explore whether conceptually related constructs explain any variance in participants' SR TPCK. In Study 1, we applied this strategy to German pre-service teachers using technology use, attitudinal variables, and objective measures of teachers' knowledge of technology and pedagogy as external criteria. In Study 2, we examined measures of technology knowledge, experience, and pro-technology beliefs for in-service teachers in the United States. Across both studies, a sizeable amount of the variance in SR TPCK is explained by teachers' prior technology use and pro-technology attitudes. In contrast, fact-based tests of technology and pedagogy are distinct from SR TPCK. We discuss implications for these findings and argue that researchers should gather complementary measures in concert.
The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services.
In the educational-political reform plans of the last few years (e.g. the federal all-day schooling program), different forms of cooperation between institutions of help for young people and schools have increasingly gained in significance. However, empirically solid knowledge on the effects of this cooperation is still rather limited. Taking as an example social work at schools, which is considered the closest form of cooperation between institutions of help for young people and schools, the authors analyze the state of knowledge on the effects, the interrelations of these effects, and the limits of the cooperation between institutions of help for adolescents and schools in the shape of action programs for school-related social work. By means of a meta-analysis of available empirical studies, the insights that have been generated so far as well as the deficits and blind spots of existing research and the subject-related and methodological challenges in future research on the effects and the use of social work are discussed.
This mixed-method study addresses the need for a clear conceptualization of the professional reflection element of Lesson Study (LS), a popular collaborative approach to the professional development of teachers. Grounding and re-framing LS's post-lesson discussion in a theoretical framework of critical and collaborative reflection, we analyze the transcripts of four LS groups at German primary schools, focusing on depth of reflection and teachers' trajectories through their reflective practice. The findings show that LS groups differed significantly in the depth and the trajectories of their reflection processes. We consider implications for post-lesson discussions and critical reflection as a LS core skill.
Quality of mathematics education has gained significant attention in educational politics and among educators as mathematics advances the foundations of analytical thinking necessary to excel in today’s knowledge-based economy. Recent research on instructional quality has focused on students’ development of competencies. Competency-based instruction is believed to be an effective approach to instruction as it is closely aligned to educational standards. We use data from the National Assessment Study 2012 in Germany and apply the theory of planned behavior to determine what motivates mathematics teachers (n = 1660) to take a competency-based approach to instruction. Results indicate that competencies outlined in the educational standards are a tangible element of current mathematics instruction. Within the framework of this study, we identified teachers’ perceived behavior control as the strongest determinant of taking a competency-based approach to instruction. We conclude that advancement of competency-based instruction depends on teachers’ beliefs about their professional resources.
Spatial abilities have been found to interact with the design of visualizations in educational materials in different forms: (1) spatial abilities enhanced learning with optimized visual design (ability-as-enhancer) or (2) spatial abilities compensated for suboptimal visual design (ability-as-compensator). A brief review of pertinent studies suggests that these two forms are viewed as mutually exclusive. We propose a novel unifying conceptualization. This conceptualization suggests that the ability-as enhancer interaction will be found in the low-medium range of a broad ability continuum whereas the ability-as-compensator interaction will be found in the medium-high range. The largest difference in learning outcomes between visual design variations is expected for medium ability. A corresponding analytical approach is suggested that includes nonlinear quadratic interactions. The unifying conceptualization was confirmed in an experiment with a consistent visual-spatial task. In addition, the conceptualization was investigated with a reanalysis of pooled data from four multimedia learning experiments. Consistent with the conceptualization, quadratic interactions were found, meaning that interactions depended on ability range. The largest difference between visual design variations was obtained for medium ability, as expected. It is concluded that the unifying conceptualization is a useful theoretical and methodological approach to analyze and interpret aptitude-treatment interactions that go beyond linear interactions.
Undisclosed desires
(2019)
Following decades of quality management featuring in higher education settings, questions regarding its implementation, impact and outcomes remain. Indeed, leaving aside anecdotal case studies and value-laden documentaries of best practice, current research still knows very little about the implementation of quality management in teaching and learning within higher education institutions. Referring to data collected from German higher education institutions in which a quality management department or functional equivalent was present, this article theorises and provides evidence for the supposition that the implementation of quality management follows two implicit logics. Specifically, it tends either towards the logic of appropriateness or, contrastingly, towards the logic of consequentialism. This study’s results also suggest that quality managers’ socialisation is related to these logics and that it influences their views on quality management in teaching and learning.
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.
In the present paper we empirically investigate the psychometric properties of some of the most famous statistical and logical cognitive illusions from the "heuristics and biases" research program by Daniel Kahneman and Amos Tversky, who nearly 50 years ago introduced fascinating brain teasers such as the famous Linda problem, the Wason card selection task, and so-called Bayesian reasoning problems (e.g., the mammography task). In the meantime, a great number of articles has been published that empirically examine single cognitive illusions, theoretically explaining people's faulty thinking, or proposing and experimentally implementing measures to foster insight and to make these problems accessible to the human mind. Yet these problems have thus far usually been empirically analyzed on an individual-item level only (e.g., by experimentally comparing participants' performance on various versions of one of these problems). In this paper, by contrast, we examine these illusions as a group and look at the ability to solve them as a psychological construct. Based on an sample of N = 2,643 Luxembourgian school students of age 16-18 we investigate the internal psychometric structure of these illusions (i.e., Are they substantially correlated? Do they form a reflexive or a formative construct?), their connection to related constructs (e.g., Are they distinguishable from intelligence or mathematical competence in a confirmatory factor analysis?), and the question of which of a person's abilities can predict the correct solution of these brain teasers (by means of a regression analysis).
The aim of the present study was to examine how different types of tracking—
between-school streaming, within-school streaming, and course-by-course
tracking—shape students’ mathematics self-concept. This was done in an
internationally comparative framework using data from the Programme for
International Student Assessment (PISA). After controlling for individual
and track mean achievement, results indicated that generally for students
in course-by-course tracking, high-track students had higher mathematics
self-concepts and low-track students had lower mathematics self-concepts.
For students in between-school and within-school streaming, the reverse pat-
tern was found. These findings suggest a solution to the ongoing debate about
the effects of tracking on students’ academic self-concept and suggest that the
reference groups to which students compare themselves differ according to the
type of tracking.
The aim of educational policy should be to provide a good education to all students. Thus, a key question arises regarding the extent to which key characteristics of school composition (proportion of students with migration background, socioeconomic status [SES], prior school achievement, and achievement heterogeneity), instructional quality, school quality, and later school achievement are interrelated. The present study addressed this research question by examining school inspection data, official school statistics, and large-scale achievement data from all primary schools in Berlin, Germany (N = 343). The results of correlation and path analyses showed that school composition (average SES, average prior school achievement) predicted components of instructional quality (SES: classroom management, cognitive activation; achievement: cognitive activation, individual learning support). The relation between school composition characteristics and most components of school quality was close to zero. Contrary to our expectations, only the effect of school SES on later achievement was mediated by instructional quality.
Despite public discourses highlighting the negative consequences of time spent online (TSO) for children's well-being, Norwegian children (aged 9-16 years) use the Internet more than other European children and score higher on self-reported life satisfaction (SRLS).
To explore the possibility that TSO might contribute to high life satisfaction or other underlying explanatory factors, we investigate the relationship between TSO and SRLS in Norway while also accounting for how individual, family, school, and broader social circumstances influence this relationship.
Countering prevailing discourses, we find a positive relationship between TSO and SRLS, which remains positive and significant even after a wider range of variables are accounted for.
By explaining the circumstances under which TSO has a positive effect on SRLS, this article provides evidence of the complex role that digital technology plays in the lives of children.
It also provides a critique of the often simplistic arguments found in public discourses around children's digital media use.
The impact of individual differences in cognitive skills and socioeconomic background on key educational, occupational, and health outcomes, as well as the mechanisms underlying inequalities in these outcomes across the lifespan, are two central questions in lifespan psychology. The contextual embeddedness of such questions in ontogenetic (i.e., individual, age-related) and historical time is a key element of lifespan psychological theoretical frameworks such as the HIstorical changes in DEvelopmental COntexts (HIDECO) framework (Drewelies et al., 2019). Because the dimension of time is also a crucial part of empirical research designs examining developmental change, a third central question in research on lifespan development is how the timing and spacing of observations in longitudinal studies might affect parameter estimates of substantive phenomena. To address these questions in the present doctoral thesis, I applied innovative state-of-the-art methodology including static and dynamic longitudinal modeling approaches, used data from multiple international panel studies, and systematically simulated data based on empirical panel characteristics, in three empirical studies.
The first study of this dissertation, Study I, examined the importance of adolescent intelligence (IQ), grade point average (GPA), and parental socioeconomic status (pSES) for adult educational, occupational, and health outcomes over ontogenetic and historical time. To examine the possible impact of historical changes in the 20th century on the relationships between adolescent characteristics and key adult life outcomes, the study capitalized on data from two representative US cohort studies, the National Longitudinal Surveys of Youth 1979 and 1997, whose participants were born in the late 1960s and 1980s, respectively. Adolescent IQ, GPA, and pSES were positively associated with adult educational attainment, wage levels, and mental and physical health. Across historical time, the influence of IQ and pSES for educational, occupational, and health outcomes remained approximately the same, whereas GPA gained in importance over time for individuals born in the 1980s.
The second study of this dissertation, Study II, aimed to examine strict cumulative advantage (CA) processes as possible mechanisms underlying individual differences and inequality in wage development across the lifespan. It proposed dynamic structural equation models (DSEM) as a versatile statistical framework for operationalizing and empirically testing strict CA processes in research on wages and wage dynamics (i.e., wage levels and growth rates). Drawing on longitudinal representative data from the US National Longitudinal Survey of Youth 1979, the study modeled wage levels and growth rates across 38 years. Only 0.5 % of the sample revealed strict CA processes and explosive wage growth (autoregressive coefficients AR > 1), with the majority of individuals following logarithmic wage trajectories across the lifespan. Adolescent intelligence (IQ) and adult highest educational level explained substantial heterogeneity in initial wage levels and long-term wage growth rates over time.
The third study of this dissertation, Study III, investigated the role of observation timing variability in the estimation of non-experimental intervention effects in panel data. Although longitudinal studies often aim at equally spaced intervals between their measurement occasions, this goal is hardly ever met. Drawing on continuous time dynamic structural equation models, the study examines the –seemingly counterintuitive – potential benefits of measurement intervals that vary both within and between participants (often called individually varying time intervals, IVTs) in a panel study. It illustrates the method by modeling the effect of the transition from primary to secondary school on students’ academic motivation using empirical data from the German National Educational Panel Study (NEPS). Results of a simulation study based on this real-life example reveal that individual variation in time intervals can indeed benefit the estimation precision and recovery of the true intervention effect parameters.
The struggle for an identity
(1986)