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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.
Education
(2019)
Vives emphasizes needlework as an appropriate occupation for all women, even for ‘a princess or a queen’. A wide variety of schools run by individual tradesmen or women offered instruction in certain fields, such as writing and calculus, while schools erected or licensed by the authorities concentrated on religious education. A large group of orphanages founded during the sixteenth and early seventeenth centuries provided a sound education for boys and girls. Authorities, parents and educational thinkers of the time were much less concerned with girls’ education than with that of boys. Private tutoring at home concentrated on the same subjects but, when boys were instructed at home, some girls had a chance to participate in a more academically oriented education. In most educational settings, be it at day schools, boarding schools or in private homes, teachers, mothers and governesses were expected to raise good housewives, pious mothers and obedient spouses.
Professional development on fostering students’ academic language proficiency across the curriculum
(2019)
This meta-analysis aggregates effects from 10 studies evaluating professional development interventions aimed at qualifying in-service teachers to support their students in mastering academic language skills while teaching their respective subject areas. The analysis of a subset of studies revealed a small non-significant weighted training effect on teachers' cognition (g' = 0.21, SE = 0.14). An effect aggregation including all studies (with 650 teachers) revealed a medium to large weighted overall effect on teachers' classroom practices (g' = 0.71, SE = 0.16). Methodological variables moderated the effect magnitude. Nevertheless, the results suggest professional development is beneficial for improving teachers' practice.
Previous research has identified students' personality traits, especially conscientiousness, as highly relevant predictors of academic success. Less is known about the role of Big Five personality traits in students when it comes to teachers' decisions about students' educational trajectories and whether personality traits differentially affect these decisions by teachers in different grade levels. This study examines to what extent students' Big Five personality traits affect teacher decisions on grade retention, looking at two cohorts of 12,146 ninth-grade and 6002 seventh-grade students from the German National Educational Panel Study. In both grade levels, multilevel logistic mediation models show that students' conscientiousness indirectly predicts grade retention through the assignment of grades by teachers. In the ninth-grade sample, students' conscientiousness was additionally a direct predictor of retention, distinct from teacher-assigned grades. We discuss potential underlying mechanisms and explore whether teachers base their decisions on different indicators when retaining seventh-grade students or ninth-grade students.
The aim of the present study was to investigate the potential moderating role of online disinhibition in the associations between adolescents' callous-unemotional traits (callousness, uncaring, unemotional) and anonymous and non-anonymous cyberbullying. To this end, 1047 (49.2% female) 7th and 8th graders completed questionnaires on their face-to-face bullying, cyberbullying, callous-unemotional traits, and online disinhibition. The findings revealed that increases in uncaring were more associated with self-reported non-anonymous and anonymous cyberbullying at higher levels of online disinhibition. The findings are discussed in the context of the characteristics associated with callous-unemotional traits, and how these characteristics increase adolescents' risk of cyberbullying perpetration. Recommendations are made for tailoring intervention programs to consider adolescents' personality traits.
Online hatred based on attributes, such as origin, race, gender, religion, or sexual orientation, has become a rising public concern across the world. Past research on aggressive behavior suggests strong associations between victimization and perpetration and that toxic online disinhibition and sex might influence this relationship. However, no study investigated both the relationship between online hate victimization and perpetration and the potential moderation effects of toxic online disinhibition on this relationship. To this end, the present study was conducted. The sample consists of 1,480 7th to 10th graders from Germany. Results revealed positive associations between online hate victimization and perpetration. Furthermore, the results support the idea that toxic online disinhibition and sex, by way of moderator effects, affect the relationship between online hate victimization and perpetration. Victims of online hate reported more online hate perpetration when they reported higher levels of online disinhibition and less frequent online hate perpetration when they reported lower levels of toxic online disinhibition. Additionally, the relationship between online hate victimization and perpetration was significantly greater among boys than among girls. Taken together, our results extend previous findings to online hate involvement among adolescents and substantiate the importance to conduct more research on online hate. In addition, our findings highlight the need for prevention and intervention programs that help adolescents deal with the emerging issue of online hate.
Achievement emotions are important prerequisites for academic outcomes and well-being, yet little is known about their relation to teaching quality. This study examines the relation between student-perceived teaching quality in mathematics classrooms in grade 9 and enjoyment, anxiety, and boredom in grade 10, at both the student and classroom levels. The original data set included 6020 students who participated in the German national extension of the Programme for International Student Assessment (PISA). Multilevel regression analyses showed that teacher support and classroom management were negatively related to student-level anxiety and boredom. Teacher support was positively related to enjoyment and negatively related to anxiety at the classroom level. Cognitive activation was positively related to enjoyment and negatively related to boredom at the classroom level. Classroom management was negatively related to classroom-level boredom. These results provide insight into differential classroom processes regarding the role of teaching quality in various aspects of student achievement emotions.
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.
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.
Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students’ achievement. It is gaining increasing importance in educational evaluation, teacher accountability, and high-stakes decisions. We analyzed 370 empirical studies on VA modeling, focusing on modeling and methodological issues to identify key factors for improvement. The studies stemmed from 26 countries (68% from the USA). Most studies applied linear regression or multilevel models. Most studies (i.e., 85%) included prior achievement as a covariate, but only 2% included noncognitive predictors of achievement (e.g., personality or affective student variables). Fifty-five percent of the studies did not apply statistical adjustments (e.g., shrinkage) to increase precision in effectiveness estimates, and 88% included no model diagnostics. We conclude that research on VA modeling can be significantly enhanced regarding the inclusion of covariates, model adjustment and diagnostics, and the clarity and transparency of reporting.
What is the added value from attending a certain school or being taught by a certain teacher? To answer this question, the value-added (VA) model was developed. In this model, the actual achievement attained by students attending a certain school or being taught by a certain teacher is juxtaposed with the achievement that is expected for students with the same background characteristics (e.g., pretest scores). To this end, the VA model can be used to compute a VA score for each school or teacher, respectively. If actual achievement is better than expected achievement, there is a positive effect (i.e., a positive VA score) of attending a certain school or being taught by a certain teacher. In other words, VA models have been developed to “make fair comparisons of the academic progress of pupils in different settings” (Tymms 1999, p. 27). Their aim is to operationalize teacher or school effectiveness objectively. Specifically, VA models are often used for accountability purposes and high-stakes decisions (e.g., to allocate financial or personal resources to schools or even to decide which teachers should be promoted or discharged). Consequently, VA modeling is a highly political topic, especially in the USA, where many states have implemented VA or VA-based models for teacher evaluation (Amrein-Beardsley and Holloway 2017; Kurtz 2018). However, this use for high-stakes decisions is highly controversial and researchers seem to disagree concerning the question if VA scores should be used for decision-making (Goldhaber 2015). For a more exhaustive discussion of the use of VA models for accountability reasons, see, for example, Scherrer (2011).
Given the far-reaching impact of VA scores, it is surprising that there is scarcity of systematic reviews of how VA scores are computed, evaluated, and how this research is reported. To this end, we review 370 empirical studies from 26 countries to rigorously examine several key issues in VA modeling, involving (a) the statistical model (e.g., linear regression, multilevel model) that is used, (b) model diagnostics and reported statistical parameters that are used to evaluate the quality of the VA model, (c) the statistical adjustments that are made to overcome methodological challenges (e.g., measurement error of the outcome variables), and (d) the covariates (e.g., pretest scores, students’ sociodemographic background) that are used when estimating expected achievement.
All this information is critical for meeting the transparency standards defined by the American Educational Research Association (AERA 2006). Transparency is vital for educational research in general and especially for highly consequential research, such as VA modeling. First, transparency is highly relevant for researchers. The clearer the description of the model, the easier it is to build upon the knowledge of previous research and to safeguard the potential for replicating previous results. Second, because decisions that are based on VA scores affect teachers’ lives and schools’ futures, not only educational agents but also the general public should be able to comprehend how these scores are calculated to allow for public scrutiny. Specifically, given that VA scores can have devastating consequences on teachers’ lives and on the students they teach, transparency is particularly important to evaluate the chosen methodology to compute VA models for a certain purpose. Such evaluations are essential to answer the question to what extent the quality of VA scores allows to base far-reaching decisions on these scores for accountability purposes.