Department Erziehungswissenschaft
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MARLA
(2024)
Serious games
(2024)
Background:
Prader-Willi syndrome (PWS) is a complex developmental genetic disorder associated with intellectual disability and deficits in executive functions which result in disorganisation and poor personal autonomy.
Aims:
This study aimed to determine impairments in planning skills of adults with PWS, in relation with their intellectual disabilities, as well as the influence of food compulsions on their performance.
Methods and procedures:
A modified version of the Zoo Map from the Behavioural Assessment of the Dysexecutive Syndrome was used in three groups: a group of adults with PWS in comparison with two groups both matched on chronological age, one with typical development (TD) and one with intellectual disability (ID).
Outcomes and results:
Compared to TD adults, both adults with PWS and ID showed increased planning time and lower raw scores on the planning task. The execution time and the number of errors were higher in the PWS group compared to the comparison groups. All three groups performed worse in the non-food condition only for number of errors and raw score.
Conclusions and implications:
Planning abilities were impaired in PWS adults. Results also showed that intellectual level plays a role in participants' performance. These findings are essential to understand the difficulties of people with PWS daily life.
Motivational profiles across domains and academic choices within Eccles et al.’s situated expectancy
(2021)
This longitudinal person-centered study aimed to identify profiles of subjective task values and ability self-concepts of adolescents in the domain of mathematics, English, biology, and physics in Grades 10 and 12. We were interested in gendered changes of profile membership, and in relations between profile membership and educational and occupational outcomes in adulthood. Data were drawn from the Michigan Study of Adolescent and Adult Life Transitions. We focused on students who participated in the data collection in Grades 10 and 12 (N = 911; 56.1% female; M-age = 16.49, SD = .63; 91.2% European American, 4.6% African American, and 2.1% other ethnic groups such as Hispanic, Asian, Native American). Data on subsequent college majors were assessed 2, 6, and 10 years after finishing high school and data on occupational outcomes was assessed up to 22 years after high school. Using Latent Profile Analyses, our findings revealed five profiles in grade 10 and four profiles in grade 12, which were meaningfully related to student gender. Latent Transition Analyses showed that motivational beliefs became more hierarchical over time. Gendered changes in profile membership occurred, with boys experiencing a process of specialization into mathematics domains. We were also able to show that gender-specific intraindividual hierarchies of motivational beliefs were related to gender-specific specialization processes in adolescence and to subsequent gendered choices throughout the life course.
Providing students with efficient instruction tailored to their individual characteristics in the cognitive and affective domains is an important goal in research on computer-based learning. This is especially important when seeking to enhance students' learning experience, such as by counteracting boredom, a detrimental emotion for learning. However, studies comparing instructional strategies triggered by either cognitive or emotional characteristics are surprisingly scarce. In addition, little research has examined the impact of these types of instructional strategies on performance and boredom trajectories within a lesson. In the present study, we compared the effectiveness of an intelligent tutoring system that adapted variable levels of hint details to a combination of students' dynamic, self-reported emotions and task performance (i.e., the experimental condition) to a traditional hint delivery approach consisting of a progressive, incremental supply of details following students' failures (i.e., the control condition). Linear mixed models of time-related changes in task performance and the intensity of boredom over two 1-h sessions showed that students (N = 104) in the two conditions exhibited equivalent progression in task performance and similar trajectories in boredom intensity. However, a consideration of students' achievement levels in the analyses (i.e., their final performance on the task) revealed that higher achievers in the experimental condition showed a reduction in boredom during the first session, suggesting possible benefits of using emotional information to increase the contingency of the hint delivery strategy and improve students’ learning experience.
One of the main challenges of education in modern societies is to effectively address the variability of students in academic learning settings. Students vary in terms of their individual learning preconditions, such as achievement and preknowledge, but also motivation and emotion. Teachers, in turn, have limited resources to provide each learner with individually tailored instruction. This research overview reviews research on artificially intelligent teaching assistants and their role in providing adaptive learning opportunities in relation to learners’ heterogeneous individual learning preconditions in the field of motivation and emotion.
Digitale Medien erlangen eine zunehmende Bedeutung für die Gestaltung von unterrichtlichen Lehr- und Lernprozessen (KMK, 2021; Scheiter, 2021). Die erfolgreiche Integration digitaler Medien und die qualitätsvolle Gestaltung digitalgestützten Unterrichts ist dabei abhängig von den digitalen Kompetenzen der beteiligten Lehrkräfte (KMK, 2021; Lachner et al., 2020). Lehrkräftefortbildungen zu Themen digitaler Medien sind in diesem Kontext von großer Relevanz. Die Teilnahme an Fortbildungen zu digitalen Themen kann zur Förderung der (selbsteingeschätzten) digitalen Kompetenzen sowie des digitalgestützten Unterrichts beitragen (KMK, 2021; SWK, 2022). Die Zusammenhänge zwischen Lehrkräftefortbildungen, Kompetenzen und Handeln von Lehrkräften werden auf theoretischer Ebene im Modell der Determinanten und Konsequenzen der professionellen Kompetenz von Lehrkräften nach Kunter et al. (2011) beschrieben. Allerdings ist bislang ungeklärt, inwiefern die für allgemeine Lehrkräftefortbildungen formulierten Zusammenhänge auch auf den digitalen Kontext übertragbar sind. Bisher weisen nur wenige empirische Ergebnisse darauf hin, dass digitalbezogene Lehrkräftefortbildungen mit selbsteingeschätzten digitalen Kompetenzen (z. B. Mayer et al., 2021; Ning et al., 2022; Reisoğlu, 2022) und dem digitalgestützten Unterrichtshandeln zusammenhängen (z. B. Alt, 2018; Gisbert Cervera & Lázaro Cantabrana, 2015). Eine zentrale Rolle für qualitätsvolles Unterrichtshandeln spielen die Handlungskompetenzen von Lehrkräften (Kunter et al., 2011). Auch im digitalen Kontext sind (selbsteingeschätzte) Kompetenzen von Lehrkräften für das unterrichtliche Handeln mit digitalen Medien relevant (z. B. Hatlevik, 2017; Spiteri & Rundgren, 2020). Eine systematische Darstellung von Kompetenzen von Lehrkräften für den unterrichtsbezogenen Einsatz digitaler Medien leistet der European Framework for the Digital Competence of Educators (DigCompEdu; Redecker & Punie, 2017). Jedoch liegen bisher nur wenige empirische Forschungsarbeiten zur Validierung dieses Rahmenmodells vor (z. B. Antonietti et al., 2022). Dabei bietet das DigCompEdu-Modell im Vergleich zu anderen Kompetenzmodellen wie beispielsweise dem Modell des Technological Pedagogical Content Knowledge (TPACK; Mishra & Koehler, 2006) einen differenzierten Blick auf verschiedene Kompetenzdimensionen.
Die aufgezeigten Forschungslücken aufnehmend, befasst sich die vorliegende Dissertation mit den Faktoren, die zu einer hohen Unterrichtsqualität im digitalgestützten Unterricht beitragen. Die drei empirischen Studien dieser Dissertation behandeln aus verschiedenen Perspektiven die Zusammenhänge zwischen der Teilnahme an digitalbezogenen Lehrkräftefortbildungen, den selbsteingeschätzten digitalen Kompetenzen von Lehrkräften und der selbstberichteten digitalgestützten Unterrichtsqualität. Die Studien orientieren sich dabei theoriegeleitet an den Annahmen des Modells der Determinanten und Konsequenzen der professionellen Kompetenz von Lehrkräften nach Kunter et al. (2011).
Studie 1 widmet sich der Frage, inwieweit die Teilnahme an digitalbezogenen Fortbildungen und Lehrkräftekooperationen im digitalen Kontext mit selbsteingeschätzten digitalen Kompetenzen, Interesse am digitalgestützten Unterrichten und qualitätsvollem Unterrichten mit digitalen Medien zusammenhängen. Die Ergebnisse manifester Pfadmodelle verdeutlichen, dass die Teilnahme an digitalbezogenen Fortbildungen und Kooperationen mit hohen digitalen Kompetenzen, einem hohen Interesse am digitalgestützten Unterrichten und einem selbstberichteten häufigen Einsatz digitaler Medien zur Umsetzung qualitätsvollen Unterrichtens (kognitive Aktivierung und Individualisierung) einhergingen. Digitalgestütztes Unterrichtshandeln wurde in bisherigen empirischen Studien vorrangig über die Nutzungshäufigkeit digitaler Medien im Unterricht erhoben, welche jedoch keine Rückschlüsse auf die Qualität des Einsatzes zulässt (Lachner et al., 2020; Scheiter, 2021). Der qualitätsvolle Einsatz digitaler Medien entlang der drei generischen Basisdimensionen (Klieme et al., 2009) wird daher in allen drei Studien der Dissertation berücksichtigt. In Studie 1 konnte zudem gezeigt werden, dass die selbsteingeschätzten digitalen Kompetenzen im Bereich TPACK die querschnittlichen Zusammenhänge zwischen der Teilnahmehäufigkeit von Lehrkräften an digitalbezogenen Fortbildungen und der Nutzungshäufigkeit digitaler Medien zur Umsetzung von kognitiver Aktivierung und Individualisierung vermitteln.
In Studie 2 wurden Skalen zur Erfassung selbsteingeschätzter digitaler Kompetenzen basierend auf dem DigCompEdu-Modell entwickelt und getestet. Konkret wurde dabei die Kompetenzdimension der Lernerorientierung mit den Subdimensionen Differenzierung und Aktive Einbindung von Schüler*innen in den Blick genommen. Die Ergebnisse der durchgeführten Strukturgleichungsmodellierungen legen eine bifaktorielle Faktorstruktur nahe, die sowohl die zwei theoretisch angenommenen Subdimensionen repräsentiert als auch einen generellen Faktor beinhaltet, der sich als übergreifende Lernerorientierung interpretiert lässt. Die selbsteingeschätzten digitalen Kompetenzen in Bereich der Lernerorientierung standen in signifikant positivem Zusammenhang mit dem selbstberichteten Einsatz digitaler Medien zur selbstberichteten Umsetzung qualitätsvollen Unterrichtshandelns (Klassenführung, kognitive Aktivierung und konstruktive Unterstützung).
Studie 3 führt die Themenfelder der Fortbildungen und der Kompetenzen im digitalen Kontext zusammen und befasst sich mit dem Zusammenhang zwischen Fortbildungsthemen und digitalen Kompetenzen. Ergebnisse von Pfadmodellierungen zeigen, dass die Teilnahme an digitalbezogenen Fortbildungen zu den technologisch-pädagogisch-inhaltlichen Themen „Computergestützte Förderung der Schüler*innen“ und „Fachspezifische Unterrichtsentwicklung mit digitalen Medien“ mit dem selbstberichteten qualitätsvollen Einsatz digitaler Medien zur kognitiven Aktivierung und konstruktiven Unterstützung einhergehen. Diese Befunde stärken die Annahme, dass Lehrkräfte für einen qualitätsvollen Einsatz digitaler Medien sowohl technologische als auch pädagogisch didaktische Kompetenzen benötigen (Lipowsky & Rzejak, 2021; Mishra & Koehler, 2006; Scheiter & Lachner, 2019) und Fortbildungen folglich technologische mit unterrichtspraktischen Inhalten kombinieren sollten (Bonnes et al., 2022). Zudem zeigt die Studie basierend auf den theoretischen Annahmen von Kunter et al. (2011), dass selbsteingeschätzte digitale Kompetenzen von Lehrkräften die Zusammenhänge zwischen der Teilnahmehäufigkeit an digitalbezogenen Fortbildungen und der selbstberichteten digitalgestützten Unterrichtsqualität vermittelten.
In der abschließenden Gesamtdiskussion der Dissertation werden die Befunde vor dem Hintergrund des dargelegten Forschungsstandes und hinsichtlich der Forschungslücken diskutiert und auf Grundlage der Befunde der drei Studien forschungs- und praxisrelevante Implikationen abgeleitet.
Drawing on the social-ecological perspective, this longitudinal study investigated the potential moderating effect of gender in the relationships among Machiavellianism, popularity goals, and cyberbullying involvement (i.e. victimization, perpetration) among adolescents from China, Cyprus, India, and the United States.
There were 2,452 adolescents (M-age = 14.85; SD = .53; 13-16 years old; 49.1% girls) from China, Cyprus, India, and the United States included in this study.
They completed surveys on Machiavellianism, popularity goals, and cyberbullying victimization and perpetration during the fall of 2014 (Time 1). One year later, during the fall of 2015, adolescents completed surveys on cyberbullying victimization and perpetration.
Findings revealed that Machiavellianism and popularity goals were both associated positively with Time 2 cyberbullying victimization and perpetration for all adolescents. The associations between Machiavellianism and Time 2 cyberbullying perpetration and between popularity goals and Time 2 cyberbullying perpetration were stronger for Chinese and Indian boys than girls.
Opposite patterns were found for popularity goals and Time 2 cyberbullying perpetration for adolescents from the United States.
Gender did not moderate any of the associations for Cypriot adolescents or for Time 2 cyberbullying victimization.
The social-ecological perspective provides a useful understanding of how various contexts influence bullying.
Both children and adults have been shown to benefit from the integration of multisensory and sensorimotor enrichment into pedagogy. For example, integrating pictures or gestures into foreign language (L2) vocabulary learning can improve learning outcomes relative to unisensory learning. However, whereas adults seem to benefit to a greater extent from sensorimotor enrichment such as the performance of gestures in contrast to multisensory enrichment with pictures, this is not the case in elementary school children. Here, we compared multisensory- and sensorimotor-enriched learning in an intermediate age group that falls between the age groups tested in previous studies (elementary school children and young adults), in an attempt to determine the developmental time point at which children's responses to enrichment mature from a child-like pattern into an adult-like pattern. Twelve-year-old and fourteen-year-old German children were trained over 5 consecutive days on auditorily presented, concrete and abstract, Spanish vocabulary. The vocabulary was learned under picture-enriched, gesture-enriched, and non-enriched (auditory-only) conditions. The children performed vocabulary recall and translation tests at 3 days, 2 months, and 6 months post-learning. Both picture and gesture enrichment interventions were found to benefit children's L2 learning relative to non-enriched learning up to 6 months post-training. Interestingly, gesture-enriched learning was even more beneficial than picture-enriched learning for the 14-year-olds, while the 12-year-olds benefitted equivalently from learning enriched with pictures and gestures. These findings provide evidence for opting to integrate gestures rather than pictures into L2 pedagogy starting at 14 years of age.
The present study proposes and tests pathways by which racial discrimination might be positively related to bullying victimization among Black and White adolescents. Data were derived from the 2016 National Survey of Children's Health, a national survey that provides data on children's physical and mental health and their families. Data were collected from households with one or more children between June 2016 to February 2017.
A letter was sent to randomly selected households, who were invited to participate in the survey. The caregivers consisted of 66.9% females and 33.1% males for the White sample, whose mean age was 47.51 (SD = 7.26), and 76.8% females and 23.2% males for the Black sample, whose mean age was 47.61 (SD = 9.71).
In terms of the adolescents, 49.0% were females among the White sample, whose mean age was 14.73 (SD = 1.69). For Black adolescents, 47.9% were females and the mean age was 14.67(SD = 1.66).
Measures for the study included bullying perpetration, racial discrimination, academic disengagement, and socio-demographic variables of the parent and child.
Analyses included descriptive statistics, bivariate correlations, and structural path analyses.
For adolescents in both racial groups, racial discrimination appears to be positively associated with depression, which was positively associated with bullying perpetration. For White adolescents, racial discrimination was positively associated with academic disengagement, which was also positively associated with bullying perpetration. For Black adolescents, although racial discrimination was not significantly associated with academic disengagement, academic disengagement was positively associated with bullying perpetration.
The purpose of the present study was to investigate the moderating effect of technology use for friendship maintenance in the associations between self-isolation during the COVID-19 pandemic and friendship quality, measured 6 months later (Time 2). Participants were 1,567 seventh and eighth graders (51% female; 51% white; M-age = 13.47) from the United States. They completed questionnaires on friendship quality at Time 1, and self-isolation during COVID-19 and technology use for friendship maintenance and friendship quality at Time 2. The findings revealed that self-isolation during COVID-19 was related positively to technology use for friendship maintenance and negatively to Time 2 friendship quality. Higher technology use for friendship maintenance buffered against the negative impacts on friendship quality associated with self-isolation during COVID-19, while lower technology use had the opposite effects on Time 2 friendship quality.
Teaching quality is a key factor in student academic success, but few studies have investigated how teaching quality changes at the beginning of secondary education and how such changes are predicted by dimensions of teacher motivation. This study investigated the changes in class-level student perceptions of teaching quality over one school year at the beginning of secondary school and examined how teachers? self-efficacy and enthusiasm predicted such changes. Data from 1996 students (53.8% male; mean age: 11.09 years, SD = 0.55) and their homeroom teachers (N = 105), who were surveyed at the beginning of Grades 5 and 6, were analyzed. Results showed a significant decline in class-level student-perceived emotional support, classroom management, and instructional clarity. Teacher-reported self-efficacy was not significantly related to changes in teaching quality. Teacher-reported enthusiasm buffered the decline in students? class-level classroom management.
Schools are key contexts for the development of adolescents' critical consciousness. We explored how three dimensions of the classroom cultural diversity climate (critical consciousness, color-evasion, and multiculturalism) related to adolescents' critical reflection (i.e., perceived societal Islamophobia) and intended critical action (i.e., political activism). Our sample included adolescents experiencing high (second generation, Muslim, N = 237) versus low (non-immigrant descent, non-Muslim, N = 478) stigmatization in Germany. Multilevel analyses revealed that for both groups a critical consciousness climate, but not a color-evasive or a multicultural climate, was positively associated with perceived societal Islamophobia and intended critical action. Thus, to promote adolescents' critical consciousness, schools should go beyond emphasizing a common humanity and celebrating cultural diversity and include explicit discussions of social inequity.
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences.
Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational large-scale assessments (ELSAs) or social, health, and economic survey and panel studies. The meta-analytic integration of these results offers unique and novel research opportunities to provide strong empirical evidence of the consistency and generalizability of important phenomena and trends.
Using ELSAs as an example, this tutorial offers methodological guidance on how to use the two-stage approach to IPD meta-analysis to account for the statistical challenges of complex survey designs (e.g., sampling weights, clustered and missing IPD), first, to conduct descriptive analyses (Stage 1), and second, to integrate results with three-level meta-analytic and meta-regression models to take into account dependencies among effect sizes (Stage 2).
The two-stage approach is illustrated with IPD on reading achievement from the Programme for International Student Assessment (PISA). We demonstrate how to analyze and integrate standardized mean differences (e.g., gender differences), correlations (e.g., with students' socioeconomic status [SES]), and interactions between individual characteristics at the participant level (e.g., the interaction between gender and SES) across several PISA cycles.
All the datafiles and R scripts we used are available online. Because complex social, health, or economic survey and panel studies share many methodological features with ELSAs, the guidance offered in this tutorial is also helpful for synthesizing research evidence from these studies.
Der vorliegende Beitrag informiert über 14 deutschsprachige Programme zur Prävention und Intervention bei Hatespeech unter Kindern und Jugendlichen (Jahrgangsstufen 5–12). Inhalte und Durchführungsmodalitäten der Programme sowie Ergebnisse einer kriteriengeleiteten Qualitätseinschätzung anhand von fünf Kriterien werden im Hinblick auf deren Anwendung in der schulischen Praxis beschrieben und erörtert. Der Überblick über Schwerpunkte, Stärken und Entwicklungspotentiale schulbezogener Hatespeech-Programme ermöglicht Leser*innen eine informierte Entscheidung über den Einsatz der Programme in der Schule sowie in der offenen Kinder- und Jugendarbeit.
Prior research suggests that teachers with higher levels of empathy are more willing to intervene in bullying among students. However, these findings are based on hypothetical bullying situations and teachers' self-reports. In this study with 2,071 German students and their 556 teachers, we analysed reactions to hypothetical relational bullying situations as well as retrospectively reported bullying situations both from the teachers' as well as the students' perspectives. Results showed that teachers with higher levels of empathy reported stronger intentions to intervene in hypothetical relational bullying situations but were not more likely to intervene in retrospectively reported bullying situations. From the students' perspective, teachers' empathy was neither connected to the teachers' intention to intervene nor to the likelihood of intervention in the retrospectively reported situations. These different results could be taken as an opportunity to investigate whether existing findings could be influenced by methodological aspects such as teachers' self-reports. Implications for future research are discussed.
The purpose of this study was to examine the longitudinal relationship between problematic online gaming and subjective health complaints and depressive symptoms, and the moderation of console-gaming aggression (i.e. verbal aggression, camping, trolling) in this relationship. Participants were 202 adolescents (86% boys; M age = 12.99 years) in the 7(th) or 8(th) grade who played first-person shooter games. They completed questionnaires on problematic online gaming, console-gaming aggression, subjective health complaints, and depressive symptoms. Six months later (Time 2), they completed questionnaires on subjective health complaints and depressive symptoms again. Findings revealed that problematic online gaming and console-gaming aggression were positive predictors of Time 2 subjective health complaints and depressive symptoms, while controlling for Time 1 levels and gender. Moderating effects were found as well, indicating that high levels of console-gaming aggression increased the positive relationship between problematic online gaming and depressive symptoms. These effects were also replicated for verbal aggression, problematic online gaming, and subjective health complaints. These findings suggest the importance of considering the implications of console-gaming aggression and problematic online gaming for the physical and mental health of adolescents.
IMPACT SUMMARY
Prior State of Knowledge. Problematic online gaming and aggressive behaviors are linked to negative outcomes, including depression and subjective health complaints. Longitudinal research further supports this connection for depression, but not for subjective health complaints or various types of aggression via console games.
Novel Contributions. Few studies have focused on various types of aggression and the longitudinal associations among problematic online gaming, depression, and subjective health complaints, while controlling for previous levels of depression and subjective health complaints. The present research addresses these gaps.
Practical Implications. Findings of the present research has implications for clinicians and researchers concerned with identifying adolescents who might be at risk for negative outcomes.
Objective:
Following a life course perspective, this study examines the link between partnership trajectories and three dimensions of psychological well-being: psychological health, overall sense of self-worth and quality of life.
Background:
Assuming that life outcomes are the result of prior decisions, experiences and events, partnership histories can be seen as a resource for psychological well-being. Furthermore, advantages or disadvantages from living with or without a partner should accumulate over time. While previous cross-sectional research has mainly focused on the influence of partnership status or a status change on well-being, prior longitudinal studies could not control for reverse causality of well-being and partnership trajectories. This research addresses the question of how different patterns of partnership biographies are related to a person's well-being in middle adulthood. Selection effects of pre-trajectory well-being as well as current life conditions are also taken into account.
Method:
Using data from the German LifE Study, the partnership trajectories between ages of 16 and 45 are classified by sequence and cluster analysis. OLS regression is then used to examine the link between types of partnership trajectories and depression, self-esteem and overall life satisfaction at age 45.
Results:
For women, well-being declined when experiencing unstable non-cohabitational union trajectories or divorce followed by unpartnered post-marital trajectories. Men suffered most from being long-term single. The results could not be explained by selection effects of pre-trajectory well-being.
Conclusion:
While women seem to 'recover' from most of the negative effects of unstable partnership trajectories through a new partnership, for men it was shown that being mainly unpartnered has long-lasting effects on their psychological well-being.
Do stereotypes strike twice?
(2019)
Stereotypes influence teachers' perception of and behaviour towards students, thus shaping students' learning opportunities. The present study investigated how 315 Australian pre-service teachers' stereotypes about giftedness and gender are related to their perception of students' intellectual ability, adjustment, and social-emotional ability, using an experimental vignette approach and controlling for social desirability in pre-service teachers' responses. Repeated-measures ANOVA showed that pre-service teachers associated giftedness with higher intellectual ability, but with less adjustment compared to average-ability students. Furthermore, pre-service teachers perceived male students as less socially and emotionally competent and less adjusted than female students. Additionally, pre-service teachers seemed to perceive female average-ability students' adjustment as most favourable compared to male average-ability students and gifted students. Findings point to discrepancies between actual characteristics of gifted female and male students and stereotypes in teachers' beliefs. Consequences of stereotyping and implications for teacher education are discussed.
Online hate speech has become a widespread problem in the daily life of adolescents. Despite growing societal and academic interest in this online risk, not much is known about the relationship between online hate speech victimization (OHSV) and adolescents' mental well-being.
In addition, potential factors influencing the magnitude of this relationship remain unclear. To address these gaps in the literature, this study investigated the relationship between OHSV and depressive symptoms and the buffering effects of resilience in this relationship. The sample consists of 1,632 adolescents (49.1% girls) between 12 and 18 years old (M-age = 13.83, SDage = 1.23), recruited from nine schools across Spain.
Self-report questionnaires were administered to assess OHSV, depressive symptoms, and resilience. Regression analyses revealed that OHSV was positively linked to depressive symptoms.
In addition, victims of online hate speech were less likely to report depressive symptoms when they reported average or high levels of resilience (i.e., social competence, personal competence, structured style, social resources, and family cohesion) compared with those with low levels of resilience.
Our findings highlight the need for the development of intervention programs and the relevance of focusing on internal and external developmental assets to mitigate negative outcomes for victims of online hate speech.
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.
Krankheitsängste in verschiedenen Populationen und die Effektivität ambulanter Verhaltenstheraphie
(2023)
Deliberative and paternalistic interaction styles for conversational agents in digital health
(2021)
Background:
Recent years have witnessed a constant increase in the number of people with chronic conditions requiring ongoing medical support in their everyday lives. However, global health systems are not adequately equipped for this extraordinarily time-consuming and cost-intensive development. Here, conversational agents (CAs) can offer easily scalable and ubiquitous support. Moreover, different aspects of CAs have not yet been sufficiently investigated to fully exploit their potential. One such trait is the interaction style between patients and CAs. In human-to-human settings, the interaction style is an imperative part of the interaction between patients and physicians. Patient-physician interaction is recognized as a critical success factor for patient satisfaction, treatment adherence, and subsequent treatment outcomes. However, so far, it remains effectively unknown how different interaction styles can be implemented into CA interactions and whether these styles are recognizable by users.
Objective:
The objective of this study was to develop an approach to reproducibly induce 2 specific interaction styles into CA-patient dialogs and subsequently test and validate them in a chronic health care context.
Methods:
On the basis of the Roter Interaction Analysis System and iterative evaluations by scientific experts and medical health care professionals, we identified 10 communication components that characterize the 2 developed interaction styles: deliberative and paternalistic interaction styles. These communication components were used to develop 2 CA variations, each representing one of the 2 interaction styles. We assessed them in a web-based between-subject experiment. The participants were asked to put themselves in the position of a patient with chronic obstructive pulmonary disease. These participants were randomly assigned to interact with one of the 2 CAs and subsequently asked to identify the respective interaction style. Chi-square test was used to assess the correct identification of the CA-patient interaction style.
Results:
A total of 88 individuals (42/88, 48% female; mean age 31.5 years, SD 10.1 years) fulfilled the inclusion criteria and participated in the web-based experiment. The participants in both the paternalistic and deliberative conditions correctly identified the underlying interaction styles of the CAs in more than 80% of the assessments (X-1(,8)8(2)=38.2; P<.001; phi coefficient r(phi)=0.68). The validation of the procedure was hence successful.
Conclusions:
We developed an approach that is tailored for a medical context to induce a paternalistic and deliberative interaction style into a written interaction between a patient and a CA. We successfully tested and validated the procedure in a web-based experiment involving 88 participants. Future research should implement and test this approach among actual patients with chronic diseases and compare the results in different medical conditions. This approach can further be used as a starting point to develop dynamic CAs that adapt their interaction styles to their users.
Detrimental effects of adverse family conditions for children's wellbeing are well-documented, but little is known about the impact of specific risk factors, or about potential protective factors that buffer the effects of family risk factors on negative development.
We investigated the impact of five important family risk factors (e.g., parental conflict) on internalizing and externalizing problems and the potential buffering effects of peer acceptance and academic skills at two measurement points two years apart in 1195 7-to 10-year-olds (T1: M-Age = 8.54).
Latent change models showed that increases in risk factors over the two years predicted increasing internalizing and externalizing problems. Parental conflict was the most impactful risk factor, although peer acceptance and academic skills showed some buffering effects.
The results highlight the necessity of investigating cumulative and single risk factors, specifically interparental conflict, and emphasize the need to strengthen children's internal and social resources to buffer the effects of adverse family conditions.
Wer ist leistungsstark?
(2022)
Leistungsstarke Kinder und Jugendliche sind in den letzten Jahren zunehmend in den Fokus der Bildungspolitik und der Bildungsforschung gerückt. Allerdings gibt es in der Forschung bislang kein geteiltes Verständnis darüber, was genau unter akademischer Leistungsstärke zu verstehen ist.
Die vorliegende Arbeit gibt einen systematischen Überblick darüber, wie Forschende, die seit dem Jahr 2000 die Gruppe der leistungsstarken Schülerinnen und Schüler erforschten, Leistungsstärke in ihren Studien operationalisiert haben.
Dabei wurde insbesondere untersucht, welche Leistungsindikatoren genutzt wurden, ob ein spezifischer Fachbezug hergestellt wurde und welche Cut-off-Werte und Vergleichsmaßstäbe angelegt wurden. Die systematische Datenbanksuche lieferte insgesamt N = 309 Artikel, von denen n = 55 die Einschlusskriterien erfüllten.
Die Ergebnisse zeigen, dass eine große Vielfalt in der Operationalisierung von Leistungsstärke vorliegt. Die meistgenutzten Leistungsindikatoren waren Noten und Testwerte, wobei fächerübergreifende und fachspezifische Definitionen beide häufig waren. Die Cut-off-Werte der Studien waren zum Teil schwierig vergleichbar, aber dort, wo ein Populationsbezug hergestellt werden konnte, lag der Median des Populationsanteils Leistungsstarker bei 10 Prozent.
Die Studie diskutiert methodische und inhaltliche Rahmenbedingungen, welche sich auf die Operationalisierung von Leistungsstärke und ihre Vergleichbarkeit über Studien hinweg auswirken.
Die vorliegende Arbeit schließt mit Empfehlungen zur Operationalisierung von Leistungsstärke.
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).
It is well-documented that academic achievement is associated with students' self-perceptions of their academic abilities, that is, their academic self-concepts. However, low-achieving students may apply self-protective strategies to maintain a favorable academic self-concept when evaluating their academic abilities. Consequently, the relation between achievement and academic self-concept might not be linear across the entire achievement continuum. Capitalizing on representative data from three large-scale assessments (i.e., TIMSS, PIRLS, PISA; N = 470,804), we conducted an integrative data analysis to address nonlinear trends in the relations between achievement and the corresponding self-concepts in mathematics and the verbal domain across 13 countries and 2 age groups (i.e., elementary and secondary school students). Polynomial and interrupted regression analyses showed nonlinear relations in secondary school students, demonstrating that the relations between achievement and the corresponding self-concepts were weaker for lower achieving students than for higher achieving students. Nonlinear effects were also present in younger students, but the pattern of results was rather heterogeneous. We discuss implications for theory as well as for the assessment and interpretation of self-concept.
Due to the COVID-19 pandemic, all schools in Germany were locked down for several months in 2020. How schools realized teaching during the school lockdown greatly varied from school to school. N = 2,647 parents participated in an online survey and rated the following activities of teachers in mathematics, language arts (German), English, and science / biology during the school lockdown: frequency of sending task assignments, task solutions and requesting for solutions, giving task-related feedback, grading tasks, providing lessons per videoconference, and communicating via telecommunication tools with students and / or parents. Parents also reported student academic outcomes during the school lockdown (child's learning motivation, competent and independent learning, learning progress). Parents further reported student characteristics and social background variables: child's negative emotionality, school engagement, mathematical and language competencies, and child's social and cultural capital. Data were separately analyzed for elementary and secondary schools. In both samples, frequency of student-teacher communication was associated with all academic outcomes, except for learning progress in elementary school. Frequency of parent-teacher communication was associated with motivation and learning progress, but not with competent and independent learning, in both samples. Other distant teaching activities were differentially related to students' academic outcomes in elementary vs. secondary school. School engagement explained most additional variance in all students' outcomes during the school lockdown. Parent's highest school leaving certificate incrementally predicted students' motivation, and competent and independent learning in secondary school, as well as learning progress in elementary school. The variable "child has own bedroom" additionally explained variance in students' competent and independent learning during the school lockdown in both samples. Thus, both teaching activities during the school lockdown as well as children's characteristics and social background were independently important for students' motivation, competent and independent learning, and learning progress. Results are discussed with regard to their practical implications for realizing distant teaching.
The evaluation of how (human) individuals perceive robots is a central issue to better understand human-robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not able to assess a sufficient part of the composite psychological dimensions involved in the evaluation of HRI. Indeed, the percentage of variance explained is often under the recommended threshold for a construct to be valid. In this article, we consolidate the lessons learned from three different studies and propose a further developed questionnaire based on a multicomponent approach of anthropomorphism by adding traits from psychosocial theory about the perception of others and the attribution and deprivation of human characteristics: the de-humanization theory. Among these characteristics, the attribution of agency is of main interest in the field of social robotics as it has been argued that robots could be considered as intentional agents. Factor analyses reveal a four sub-dimensions scale including Sociability, Agency, Animacy, and the Disturbance. We discuss the implication(s) of these dimensions on future perception of and attitudes towards robots.
Die vorliegende Studie untersucht die Zusammenhänge zwischen integrativem Schulleitungshandeln, das transformationale und instruktionale Komponenten enthält, und der Nutzungshäufigkeit verschiedener Datenquellen durch Lehrkräfte. Die Ergebnisse eines Strukturgleichungsmodells zeigen, dass integrative Führung direkte und indirekte Zusammenhänge mit der Nutzung verschiedener Datenquellen aufweist. Die Effekte scheinen vorwiegend durch die Kooperationsaktivität der Lehrkräfte vermittelt zu sein.
Motivation and Emotion in Learning and Teaching across Educational Contexts brings together current theoretical and methodological perspectives as well as examples of empirical implementations from leading international researchers focusing on the context specificity and situatedness of their core theories in motivation and emotion.
The book is compiled of two main sections. Section I covers theoretical reflections and perspectives on the main theories on emotion and motivation in learning and teaching and their transferability across different educational contexts illustrated with empirical examples. Section II addresses the methodological reflections and perspectives on the methodology that is needed to address the complexity and context specificity of motivation and emotion. In addition to general reflections and perspectives regarding methodology, concrete empirical examples are provided. All cutting-edge chapters include current empirical studies on emotions and motivation in learning and teaching across different contexts (age groups, domains, countries, etc.) making them applicable and relevant to a wide range of contexts and settings.
This high-quality volume with contributions from leading international experts will be an essential resource for researchers, students and teacher trainers interested in the vital role that motivation and emotions can play in education.
In this article, we address the measurement of individualized instruction in the context of regular classroom instruction. Our study assessed instructional practices geared towards individualization in German third grade reading lessons by combining self-report data from 621 students, from their teachers (n = 57), and live obser-vations. We then investigated the reliability of these different approaches to measuring individualization as well as the agreement between them. All three approaches yielded reliable indicators of individualized practices, but not all of them corresponded with each other. We found considerable agreement between students and observers, but neither agreed with teachers' self-reports. Upon closer examination, we found that students' ratings only correlated with teacher ratings that were provided close to the timepoint of interest. This correlation increased when teacher measures were corrected for response tendencies. We conclude with some recommendations for future studies that aim to measure individualized instruction in the classroom.
Science education researchers typically face a trade-off between more quantitatively oriented confirmatory testing of hypotheses, or more qualitatively oriented exploration of novel hypotheses. More recently, open-ended, constructed response items were used to combine both approaches and advance assessment of complex science-related skills and competencies. For example, research in assessing science teachers' noticing and attention to classroom events benefitted from more open-ended response formats because teachers can present their own accounts. Then, open-ended responses are typically analyzed with some form of content analysis. However, language is noisy, ambiguous, and unsegmented and thus open-ended, constructed responses are complex to analyze. Uncovering patterns in these responses would benefit from more principled and systematic analysis tools. Consequently, computer-based methods with the help of machine learning and natural language processing were argued to be promising means to enhance assessment of noticing skills with constructed response formats. In particular, pretrained language models recently advanced the study of linguistic phenomena and thus could well advance assessment of complex constructs through constructed response items. This study examines potentials and challenges of a pretrained language model-based clustering approach to assess preservice physics teachers' attention to classroom events as elicited through open-ended written descriptions. It was examined to what extent the clustering approach could identify meaningful patterns in the constructed responses, and in what ways textual organization of the responses could be analyzed with the clusters. Preservice physics teachers (N = 75) were instructed to describe a standardized, video-recorded teaching situation in physics. The clustering approach was used to group related sentences. Results indicate that the pretrained language model-based clustering approach yields well-interpretable, specific, and robust clusters, which could be mapped to physics-specific and more general contents. Furthermore, the clusters facilitate advanced analysis of the textual organization of the constructed responses. Hence, we argue that machine learning and natural language processing provide science education researchers means to combine exploratory capabilities of qualitative research methods with the systematicity of quantitative methods.
Hate speech has become a widespread phenomenon, however, it remains largely unclear why adolescents engage in it and which factors are associated with their motivations for perpetrating hate speech. To this end, we developed the multidimensional "Motivations for Hate Speech Perpetration Scale" (MHATE) and evaluated the psychometric properties. We also explored the associations between social norms and adolescents' motivations for hate speech perpetration. The sample consisted of 346 adolescents from Switzerland (54.6% boys; Mage=14; SD=0.96) who reported engagement in hate speech as perpetrators. The analyses revealed good psychometric properties for the MHATE, including good internal consistency. The most frequently endorsed subscale was revenge, followed by ideology, group conformity, status enhancement, exhilaration, and power. The results also showed that descriptive norms and peer pressure were related to a wide range of different motivations for perpetrating hate speech. Injunctive norms, however, were only associated with power. In conclusion, findings indicate that hate speech fulfills various functions. We argue that knowing the specific motivations that underlie hate speech could help us derive individually tailored prevention strategies (e.g., anger management, promoting an inclusive classroom climate). Furthermore, we suggest that practitioners working in the field of hate speech prevention give special attention to social norms surrounding adolescents.
Background:
Using the internet to search for information or share images about self-harm is an emerging risk among young people. The aims of this study were (a) to analyze the prevalence of different types of self-harm on the internet and differences by sex and age, and (b) to examine the relationship of self-harm on the internet with intrapersonal factors (i.e., depression and anxiety) and interpersonal factors (i.e., family cohesion and social resources).
Method:
The sample consisted of 1,877 adolescents (946 girls) between 12 and 17 years old (Mage = 13.41, SD = 1.25) who completed self-report measures.
Results:
Approximately 11% of the participants had been involved in some type of self-harm on the internet. The prevalence was significantly higher among girls than boys and among adolescents older than 15 years old. Depression and anxiety increased the risk of self-harm on the internet, whereas family cohesion decreased the probability of self-harm on the internet.
Conclusions:
Self-harm on the internet is a relatively widespread phenomenon among Spanish adolescents. Prevention programs should include emotional regulation, coping skills, and resilience to reduce in this behavior.
German secondary education is known for its early, strict selection of students into different schooling tracks based on prior academic performance, based on the assumption that students learn more efficiently when the learning environment is tailored to their individual abilities and needs. While much previous research has shown that entry into tracks is socially selective, less is known whether there are effects of being exposed to a particular school track on educational success and which mechanisms are contributing to these effects. We investigate this question by comparing the learning progress in reading and mathematics of students in the upper and intermediate schooling track over five years of secondary schooling, based on large-scale German-wide longitudinal data (NEPS-SC3). Even when restricting our sample to a group of students with similar preconditions and controlling for skills at the beginning of secondary schooling, we find that the learning progress in the upper track is higher for both domains, suggesting scissor effects of track exposure. It is mainly the average performance level of the class, and to a lesser degree its social background composition, which mediates these effects. In contrast, migration background composition of the class and instructional quality perceived by students hardly contribute to explaining increasing learning gains in the upper track.
An effective handling of heterogeneous groups in classrooms is one of the main challenges that teachers face when planning their instruction. However, including means of adaptive teaching in classrooms also yields the chance to re-conceptualize classroom instruction. Researchers and practitioners often discuss the question of how different ability levels can be considered adequately in teaching and learning. Because motivation is a central source of competence development and self-regulated learning, the current article discusses how teaching can adapt to learners' different motivational states and traits. In a first step, we review theoretical and empirical perspectives on intra- and interindividual motivational differences in students and their relations to other dimensions of classroom heterogeneity such as gender, ethnic background, and socio-economic status. Against this background, we discuss how instruction can adapt effectively to learners' different motivational needs. We introduce a model of adaptive teaching that refers to students' intra- and interindividual motivational differences and derive conclusions for teacher education and instructional practice.
This study investigated the role of medium (face-to-face, cyber) and publicity (public, private) in adolescents' perceptions of severity and coping strategies (i.e., avoidant, ignoring, helplessness, social support seeking, retaliation) for victimization, while accounting for gender and cultural values. There were 3432 adolescents (ages 11-15, 49% girls) in this study; they were from China, Cyprus, the Czech Republic, India, Japan, and the United States. Adolescents completed questionnaires on individualism and collectivism, and ratings of coping strategies and severity for public face-to-face victimization, private face-to-face victimization, public cyber victimization, and private cyber victimization. Findings revealed similarities in adolescents' coping strategies based on perceptions of severity, publicity, and medium for some coping strategies (i.e., social support seeking, retaliation) but differential associations for other coping strategies (i.e., avoidance, helplessness, ignoring). The results of this study are important for prevention and intervention efforts because they underscore the importance of teaching effective coping strategies to adolescents, and to consider how perceptions of severity, publicity, and medium might influence the implementation of these coping strategies.
Teachers' self-efficacy beliefs have been shown to be related to their supportive teaching practices and to adolescents' motivation. Yet, little is known about these relations in elementary school. The present study examined the longitudinal effects of teachers' self-efficacy on student-perceived teacher support and students' mathematics interest with a sample of 2082 students and 133 teachers in third and fourth grade. Results revealed that teachers' self-efficacy was longitudinally related to student-perceived support, which in turn was positively related to students' interest. The findings underline the relevance of teachers' self-efficacy beliefs and teacher support for the development of students' interest in elementary school.
When used in a sensible way, Interactive Whiteboards (IWB) are supposed to motivate and engage students in learning in the classroom. Thereby, they might also stimulate students who are usually more restrained, such as more anxious students. However, the body of research on the impact of IWB lessons is rather small. The present study investigated whether a 45-minute lesson with the IWB compared to a conceptual identical 45-minute lesson without the IWB would support learning and motivation within the subject English as a foreign language for German students. Moreover, the study examined whether the 45-minute lesson with the IWB compared to the 45-minute lesson without the IWB would be better able to counteract the detrimental effects of foreign language classroom anxiety (FLCA). One hundred and two eighth graders from two secondary schools in Germany took part in this study and were either taught with the IWB (condition IWB; n = 53) or without the IWB (condition No-IWB; n = 50). Results showed that students in the IWB condition stated to be higher motivated and performed better in a vocabulary test than their counterparts in the No-IWB condition. FLCA was negatively correlated with performance in the vocabulary test. Other than expected, learning with the IWB did not compensate the detrimental effect of FLCA, meaning that learning with the IWB was more beneficial than learning without the IWB irrespective of a student's FLCA. Implications of the study will be discussed.
Student teachers often struggle to keep track of everything that is happening in the classroom, and particularly to notice and respond when students cause disruptions. The complexity of the classroom environment is a potential contributing factor that has not been empirically tested. In this experimental study, we utilized a virtual reality (VR) classroom to examine whether classroom complexity affects the likelihood of student teachers noticing disruptions and how they react after noticing. Classroom complexity was operationalized as the number of disruptions and the existence of overlapping disruptions (multidimensionality) as well as the existence of parallel teaching tasks (simultaneity). Results showed that student teachers (n = 50) were less likely to notice the scripted disruptions, and also less likely to respond to the disruptions in a comprehensive and effortful manner when facing greater complexity. These results may have implications for both teacher training and the design of VR for training or research purpose. This study contributes to the field from two aspects: 1) it revealed how features of the classroom environment can affect student teachers' noticing of and reaction to disruptions; and 2) it extends the functionality of the VR environment-from a teacher training tool to a testbed of fundamental classroom processes that are difficult to manipulate in real-life.
In this study, we investigated retention intention and job satisfaction of 238 first-year alternatively certified (AC) teachers. Drawing on Organizational Socialization Theory, we tested the hypothesis that AC teacher extraversion and perceived school support are positively related to the two variables and mediated by self-efficacy. To test our hypothesis, we applied structural equation modeling. Our results demonstrate that extraversion and perceived social support are positively related to retention intentions and job satisfaction. In addition, self-efficacy serves as a mediator. The findings could help school administrators to better understand how to support and retain AC teachers and thus address teacher shortages.
Wages and wage dynamics directly affect individuals' and families' daily lives. In this article, we show how major theoretical branches of research on wages and inequality-that is, cumulative advantage (CA), human capital theory, and the lifespan perspective-can be integrated into a coherent statistical framework and analyzed with multilevel dynamic structural equation modeling (DSEM). This opens up a new way to empirically investigate the mechanisms that drive growing inequality over time. We demonstrate the new approach by making use of longitudinal, representative U.S. data (NLSY-79). Analyses revealed fundamental between-person differences in both initial wages and autoregressive wage growth rates across the lifespan. Only 0.5% of the sample experienced a "strict" CA and unbounded wage growth, whereas most individuals revealed logarithmic wage growth over time. Adolescent intelligence and adult educational levels explained substantial heterogeneity in both parameters. We discuss how DSEM may help researchers study CA processes and related developmental dynamics, and we highlight the extensions and limitations of the DSEM framework.
Wie bewerten begabte und leistungsstarke Jugendliche in separaten Spezialklassen ihren Unterricht?
(2022)
Leistungsstarke und besonders begabte Schüler*innen werden im Unterricht oft nicht genügend gefordert. In speziellen Klassen für besonders Leistungsstarke und Begabte kann der Unterricht stärker auf die Lernmöglichkeiten dieser Gruppe zugeschnitten werden. Spezialklassen gelten insgesamt als leistungsförderlich, Studien zur Unterrichtsqualität sind bisher jedoch rar. In dieser Studie wird untersucht, wie Schüler*innen der Leistungs- und Begabungsklassen (LuBK) im Land Brandenburg die Qualität ihres Unterrichts in Deutsch und Mathematik im Vergleich zu Schüler*innen von Regelklassen einschätzen. Die Datenbasis bilden N = 3371 Schüler*innen der 8. und 10. Jahrgangsstufe aus 33 Schulen. Mittels Fragebögen wurden Merkmale der Unterrichtsqualität nach dem QuAIT-Modell erfragt; die Datenanalyse erfolgte mit regressionsanalytischen Mehrebenenmodellen. Die Schüler*innen der LuBK bewerten die Qualität ihres Unterrichts überwiegend positiver als die Schüler*innen der Regelklassen, Defizite zeigen sich jedoch in beiden Klassentypen bei den Qualitätsmerkmalen der inneren Differenzierung und der Mitsprache bei Unterrichtsthemen.
Teacher self-efficacy for classroom management is an important component of teachers' identity with implications for their teaching quality. Theoretically, it has been described that contextual variables play an important role for self-efficacy development and its consequences. However, little is known about the interrelationships of job resources and demands with teacher self-efficacy, and consequences for teachers' professional behaviors. We extend teacher self-efficacy research by drawing on the Job Demands-Resources model in examining contextual influences on developmental dynamics between classroom management self-efficacy and teacher-reported classroom management, from prior to qualifying as a teacher until mid-career. Participants were 395 primary and secondary Australian school teachers. Longitudinal structural equation models showed teachers' classroom management self-efficacy positively related to aspects of their perceived classroom management, particularly during early career. Between early and mid-career, the positive relationship between self-efficacy and classroom management was moderated by early career excessive demands. Implications are outlined for teacher education and school administration.