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…

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…

Social media platforms such as Instagram are becoming increasingly popular sources for students to access anatomy educational resources. This review used content analysis to examine posts under the hashtag #anatomynotes and is the first to map the characteristics of anatomy education posts on Instagram and determine any temporal changes. Sample…

Discipline-based education research (DBER) has experienced dramatic growth over recent years, but with growth comes concerns about whether DBER efforts accurately represent the education landscape. By many measures, DBER does not feature a representative range of institutional contexts or a diverse array of voices. Numerous professional…

Adolescent girls are more likely to experience early sexual debut than boys. However, the developmental context of their sexual behaviors is under-investigated. Using the socio-ecological model and Malawi Schooling and Adolescent Survey, we investigated factors crucial in determining the development of sexual behaviors of 416, 14-year-old girls in…

Multilevel models are often used to account for the hierarchical structure of social data and the inherent dependencies to produce estimates of regression coefficients, variance components associated with each level, and accurate standard errors. Social network analysis is another important approach to analysing complex data that incorporate the…

The purpose of this study is to determine the variables that affect career transition levels of Turkish and U.S. participants. For this purpose, 336 (n[subscript U.S.] = 151; n[subscript Turkey] = 185) participants who reported their socio-economic level as middle experiencing career transition at least for 2-3 months are included in the study.…

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…

Purpose: School-university partnerships are the core of effective teacher preparation programs, and central to this model are the classroom teachers who mentor preservice teachers into the profession. This article describes an innovative collaboration that transcends institutional boundaries, operating in a hybrid space, aimed at supporting…

The purpose of this study is to learn more about virtual reality (VR) and augmented reality (AR) practices at the United States' top one hundred university libraries, as well as how they are engaging with the metaverse. We conducted qualitative and descriptive analysis on the websites of the top one hundred university libraries in the United…

Based on a brief analysis of the current situation of university education management and research on intelligent algorithms, this article constructs a university education management system based on big data. For the clustering and prediction modules in higher education management, corresponding algorithms are used for optimization design. A…

This study examines whether and how an individual's subjective, or self-rated, popularity is related to one's structural position in the peer network, as measured by betweenness centrality and structural hole measure. Data were drawn from the original fieldwork conducted in Laos (N = 1,490; boys = 40%; M[subscript age] = 13), a low-income country…

One expected outcome of physics instruction is for students to be capable of relating physical concepts to multiple mathematical representations. In quantum mechanics (QM), students are asked to work across multiple symbolic notations, including some they have not previously encountered. To investigate student understanding of the relationships…