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…

In the state of Queensland, volunteers perform much of the work needed to prevent the extinction of threatened species who are native and unique to this continent. Acting from an understanding of interspecies justice, caring people rescue and rehabilitate hundreds of thousands of wild animals every year. Many of these same people conduct informal…

Data transfer between isolated clusters is imperative for cybersecurity education, research, and testing. Such techniques facilitate hands-on cybersecurity learning in isolated clusters, allow cybersecurity students to practice with various hacking tools, and develop professional cybersecurity technical skills. Educators often use these remote…

Purpose: Academic coaching (AC) has gained a significant attention to support student success and achievement in higher education, management and psychology. This study aimed to conduct a comprehensive bibliometric analysis of AC literature to identify the top authors, research patterns, hotspots and research topics in the field.…

The relationship between spatial heterogeneity and students' academic performance is a widely researched topic. This study extends the concept of spatial heterogeneity into two categories - allocatable (acquired after birth) and ascribed (determined before birth) - using seating and hometown information as variables in Spatial Durbin Models for…

The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…

This study examines teachers' perceptions of the influence professional networks have on their sense as teacher leaders for school improvement. The Model for Collaborative Evaluations (MCE) was used to examine the potential for the inclusion of teacher professional networks in school improvement efforts. Findings indicate teachers within these…

Doctoral student mothers faced unique challenges navigating school, work, and parenting responsibilities throughout the COVID-19 pandemic. The pressure to keep up with academic benchmarks and productivity standards, alongside social isolation and disruptions to caregiving supports, can impact parenting students' well-being and progression through…