This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…

Models that illustrate renal fluid dynamics are scarce within the secondary and postsecondary landscape. This work summarizes the efforts to build a rudimentary model renal corpuscle (MRC) that can be employed in a problem-based learning exercise or demonstration to teach basic principles of renal physiology to secondary students or…

Response styles pose great threats to psychological measurements. This research compares IRTree models and anchoring vignettes in addressing response styles and estimating the target traits. It also explores the potential of combining them at the item level and total-score level (ratios of extreme and middle responses to vignettes). Four models…

This research aims to develop a structural relationship model of servant leadership among educational administrators that impacts the effectiveness of primary schools in northeastern Thailand and to examine the model's alignment with empirical data. The study is conducted in two phases: Phase 1 involves developing a structural linear model of…

The PageRank model has been applied in sport ranking systems; however, prior implementations exhibited limitations and failed to produce valid rankings. This study analyzed 1,466 National Collegiate Athletic Association (NCAA) Division 1 football games and developed a novel, modified PageRank model. We also proposed an artificial…

Considering the universality of writing struggles faced by both the students and teachers, it is an unexpected observation to find that there are most likely only a dozen or so systematic reviews on the topic. Among these reviews, none so far have focused on identifying and discussing English writing instructional models. This paper systematically…

The adoption of virtual learning environments (VLEs) in education has grown significantly due to their potential to enhance learning. Effective learning in VLEs depends on managing cognitive load and sustaining motivation, particularly for complex tasks like developing teachers' professional vision -- the ability to notice and interpret classroom…

In this article, we argue for increased participant choice in early years research and beyond. Drawing on relevant literature and our own empirical work, we demonstrate that giving participants more choice leads to richer data and more robust findings. We also show that more choice for participants is closely aligned with co-creation and…

Feature engineering plays a critical role in the development of machine learning systems for educational contexts, yet its impact on student trust remains understudied. Traditional approaches have focused primarily on optimizing model performance through expert-crafted features, while the emergence of AutoML offers automated alternatives for…

We propose a novel method for automated short answer grading (ASAG) designed for practical use in real-world settings. The method combines LLM embedding similarity with a nonlinear regression function, enabling accurate prediction from a small number of expert-graded responses. In this use case, a grader manually assesses a few responses, while…

Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…

The potential of immersive virtual reality (IVR) to deliver engaging occupational safety training has been established by previous research; however, to date, there have not been any pedagogical models to guide its implementation. This study's objective was to conceptualize a pedagogical model for IVR safety training by combining a…

Value added models (VAMs) attempt to estimate the causal effects of teachers and schools on student test scores. We apply Generalizability Theory to show how estimated VA effects depend upon the selection of test items. Standard VAMs estimate causal effects on the items that are included on the test. Generalizability demands consideration of how…

Objective: Despite a growing emphasis on holistic student wellness in higher education, sexual well-being often remains neglected as part of wellness. We conducted a website content review to assess the broad utilization of wellness models and the specific integration of sexual well-being into wellness programs. Methods and results: Targeting 51…

In an era of rapid technological advancement, educational models must evolve to meet the ever-changing needs of students. Primary school students, being digital natives, require innovative learning approaches that integrate technology and promote essential skills, such as critical thinking. This study aimed to develop a Ubiquitous Project-based…