The traditional Elo rating system (ERS), widely used as a student model in adaptive learning systems, assumes unidimensionality (i.e., all items measure a single ability or skill), limiting its ability to handle multidimensional data common in educational contexts. In response, several multidimensional extensions of the Elo rating system have been…

This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…

People navigate in various types of spaces, including indoor and outdoor environments. These differ in availability of navigational cues, such as distal landmarks, clear boundaries, and regular grid structures. Does learning the layout of different types of environments rely on the same or diverse cognitive abilities? Do separate measures of…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

Despite the availability and potential usefulness of demographic and contextual data in many quantitative studies within engineering education, the preference for ANOVA over regression models remains prevalent, often without clear justification. A mapping review of literature from the EJEE and JEE spanning 2012-2022 identified 98 studies using…

Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…

Climate change is a nuanced global issue with a scope that is often difficult to fully appreciate. This study examined an undergraduate course focused on the impacts and responses to climate change on the Outer Banks of North Carolina, USA. The course utilized a socioscientific issues (SSI) approach to examine global climate change in a local…

This study aims to test the effectiveness of GeoGebra Augmented Reality in improving students' mathematical problem-solving skills. The method used is a quasi-experiment with a posttest-only control group design. The research population is students of the Mathematics Education Study Program at a private university in Indonesia, with a sample of 32…

The training of hostel service skills emphasizes the application of procedural knowledge and complex problem-solving skills, and with the development of education technology, game-based learning that mixes virtual reality (VR) and physical games has begun to be emphasized. In this study, we proposed a multi-dimensional scaffolding design framework…

As a key professional competence of teachers, empathy involves whether teachers can stand in the student's position to pay attention, understand their behavior, and make reasonable judgment and explanation of it. Researchers have discovered that 360° virtual reality (360° VR), a relatively recent form of media, can be particularly powerful in…

Digital learning environments such as virtual laboratories have been proposed to augment or even replace conventional forms of teaching in recent years. While there is some evidence on comparable learning outcomes between real and virtual labs, empirical evidence on the effectiveness of virtual labs as compared to conventional face-to-face…

The aim of this explorative comparative study is to explore how bachelor students are socialized into the instructional method of role-playing in simulation-based professional education programmes. Despite the widespread use of role-play in professional education programmes, there are a limited number of studies on the topic, even though the…

This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…

The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…

Recent advancements in geospatial technologies enable geography students to explore outdoor phenomena independently, without teacher guidance. Several authors argue that smartphone apps can effectively replace the teacher in excursions, addressing challenges such as teachers' limited availability. However, empirical research comparing the actual…