Interparental conflict as a quadratic predictor of children’s reactivity to interparental conflict and school adjustment: Steeling effects or risk saturation?

This study examined interparental conflict as a curvilinear predictor of children's reactivity to interparental conflict and, in turn, their school problems across three annual measurements. Participants included 243 preschool children (M_age = 4.60 years; 56% girls) and their parents from racially (e.g., 48% Black; 16% Latinx) diverse backgrounds. Interparental conflict was a significant quadratic predictor of children's emotional reactivity (β = .23) and behavioral dysregulation (β = .27) to conflict over a 1-year period. The robust association between interparental conflict and behavioral dysregulation weakened at high levels of interparental conflict. In contrast, interparental conflict more strongly predicted children's emotional reactivity as conflict exposure increased. Children's emotional reactivity, in turn, predicted their greater school problems 1 year later (β = .25).     

Scaffolding English language learners' mathematical talk in the context of Calendar Math

Teachers of elementary mathematics face multiple, convergent demands. These demands include supporting the growing population of English language learners (ELLs) and facilitating mathematical discussions across relevant curricular contexts. The authors used a comparative case study to examine how two teachers attempt to facilitate discussions while enacting a Calendar Math curriculum, in Grade 4 classrooms with high concentrations (>50%) of ELLs. The authors found that these teachers' use of Calendar Math did not provide a supportive context for conceptually based discussions. However, teachers did support ELLs in mathematical discussions by including display questions, elaborating student responses, modeling the use of mathematical vocabulary use, and use of self-talk. Teachers differed with regard to how often they elaborated responses, used vocabulary, the amount of teacher speech and the length of lessons. We discuss what these practices may mean for ELLs.     

Leadership development programming in higher education: an exploration of perceptions of transformational leadership across gender and role types

Tertiary Education and Management - Transformational leadership, a type of leadership commonly promoted within higher education, has been shown to positively affect performance, collaborative...     

Modeling Student Cognition in Digital and Nondigital Assessment Environments

Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students’ processes as they progress through learning activities. These data have the potential to yield information about student cognition if methods can be developed to identify and aggregate evidence from diverse data sources. This work demonstrates how data from multiple carefully designed activities aligned to a learning progression can be used to support inferences about students’ levels of understanding of the geometric measurement of area. The article demonstrates evidence identification and aggregation of activity stream data from two different digital activities, responses to traditional assessment items, and ratings based on observation of in-person non-digital activity aligned to a common learning progression using a Bayesian Network approach.