Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…

The 3-equation model by Carlin and Soskice (2014) introduces the current consensus in modern monetary macroeconomics to undergraduates through a static framework in which adjustment occurs via the monetary policy rule of an inflation-targeting central bank. In this article, the authors present a dynamic extension of this model and an Excel-based…

In order to comprehend complex and abstract phenomena, students must partake in the process of learning by integrating complex and invisible components without ever physically encountering or manipulating such components. Prior knowledge and experiences will influence the way students assimilate and model new experiences and knowledge. If prior…

This study aims to design and develop a framework for designing a metacognitive-supported augmented reality application for teaching and learning basic pneumatic systems. This multi-method study with the fuzzy delphi method (FDM) and interpretive structural modelling (ISM) approach involved 12 experts in multidisciplinary fields. The data was…

Fine needle puncture (FNP) is a widespread technique used to collect cellular samples. Its efficiency can be enhanced by the use of ultrasonography to guide the procedure. Ultrasound-guided FNP is therefore an operator-dependent exam. For this reason, it demands the acquisition of psychomotor skill, ability to recognize structures, and dexterity…

Theory and practice in entrepreneurship education are still a subject of research. This paper proposes a simulation in which, based on the External Enablers of New Venture Creation approach, students can translate environmental changes generated by the unbalancing conditions of the COVID-19 pandemic into strategic entrepreneurial actions. The…

Undergraduate students may possess underdeveloped knowledge about water systems, particularly groundwater. The use of models and modeling have been employed in undergraduate classrooms to support students' learning about water. However, effective modeling requires spatial thinking skills, which undergraduate students may also need to develop.…

The creation of new knowledge in the form of scientific models is a cornerstone of the process of science. In physics laboratory instruction, students are very often stuck in a confirmatory mindset; they have been conditioned to believe that the role of experimentation in the classroom and in the world is to verify known facts. This mindset is…

This paper introduces web viewers for educational VR contents. Recently, many types of VR goggles have been released as commercial products and many entertainment applications for them have been created. However, educational VR contents have been created so far are not so many because the creation of VR contents is time consuming task. We need to…

With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…

This article presents an extension of the well-known TPACK model to describe the professional digital competencies of mathematics teachers. The extension leads to what we want to call MPC-model (Media-Pedagogy-Content) in the following. It additionally includes (1) the consideration of competencies instead of knowledge for a holistic description,…

This study aimed to establish a fully 3D modeled immersive virtual reality (IVR) system for primary school students learning about plants and evaluate teachers' perceptions of the usage of the system and pupils' flow experiences and learning attitudes. There were 5 teachers with expertise in science and IVR experience who were first interviewed to…

Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…

Agent-based modeling holds great potential as an analytical tool. Agent-based models (ABMs) are, however, also vulnerable to critique, as they often employ stylized social worlds, with little connection to the actual environment in question. Given these concerns, there has been a recent call to more fully incorporate empirical data into ABMs. This…

New items are often evaluated prior to their operational use to obtain item response theory (IRT) item parameter estimates for quality control purposes. Fixed parameter calibration is one linking method that is widely used to estimate parameters for new items and place them on the desired scale. This article provides detailed descriptions of two…