The field of evaluation has experienced greater professionalization in the areas of evaluator education and training. Growth in these areas included sensitivity to issues of diversity, with efforts to attract and retain evaluators of color. Currently, there is limited scholarship on navigating a world with more opportunity but still dealing with…

Background: Knowledge brokers in higher education are described as requiring a broad range of skills and characteristics, leading to both role conflict and ambiguity. Although existing studies report broad concepts regarding the role of knowledge brokers, the activities that they actually perform to broker knowledge are not systematically reported…

Scholars and educators have long considered how schools can foster deep learning that supports the academic success and holistic development of all students. Yet, with the grammar of schooling that governs U.S. schools, educators often encounter institutional, political, and normative barriers that stifle efforts to redesign school environments,…

Explaining biological phenomena requires understanding how different processes function and describing interactions between components at various levels of organization over time and space in biological systems. This is a desired competency yet is a complicated and often challenging task for undergraduate biology students. Therefore, we need a…

When highly effective educators move into school leadership, their learning and growth are put on the back burner. Oftentimes, school leaders operate in silos within their school districts with little to no authentic collaboration with other school leaders or district administrators. The goal of this participatory action research study was to…

This article explores how the concept of affective infrastructure might offer a productive vantage point from which to theorize the ways that affects condition education policy and politics in education. In particular, the article theorizes 'affective infrastructure' to discuss the potentialities that emerge in struggles to formulate and enact new…

We note two possibilities for how our science might capitalize on advances in computing that harness and weave "big data" into the rich tapestry of how human development unfolds. First, we propose that the classic theoretical models that have guided developmental research since the 1970s and the hierarchical analytical models used to…

Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nontrivial task, especially for larger networks. Moreover, NMAs provide results in terms of relative…

Traditional visualization in meta-analysis uses forest plots to illustrate the combined treatment effect, along with the respective results from primary trials. While the purpose of visualization is clear in the pairwise setting, additional treatments broaden the focus and extend the results to be illustrated in network meta-analysis. The…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…

Purpose: Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5-20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the…

Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving…

The Teaching and Learning Network (TLN) at the University of Guelph, Ontario, Canada, represents an effective network model for faculty and educational leadership development. Grounded in the principles of communities of practice (Wenger, 1998), the TLN is a collaborative network that fosters interdisciplinary dialogue, relationship building,…

The importance of non-cognitive skills for academic achievement and future success has been emphasized but the invariance among the relationships of these constructs across different groups and countries is rarely studied. In this study, we used a novel approach, psychometric network analysis, to analyze the invariance of connections between…