The purpose of this study was to explore nurse educators' self-reflections of simulation facilitator competency. Additionally, the study explored nurse educators' self-reflections of a simulation experience using reflection on action. The study was designed using a phenomenological qualitative approach. Data were obtained by purposive sampling…

This systematic review examines the pedagogical gap of how VFTs are adopted and integrated in K-12 classroom teaching and learning. Specifically, it focuses on the grade levels and subject areas, learning outcomes and pedagogical activities involved VFTs at elementary and secondary levels. The results of this review show the current usage of VFTs…

Experiential learning opportunities support readers in developing the background knowledge that is essential for comprehension. When authentic experiences are not feasible, virtual reality experiences serve as a vicarious approach to help readers have opportunities that promote comprehension. Rooted in experiential learning theory, virtual reality…

Comprehensive changes in Russian education are aimed at meeting the requirements of the modern economy and society. At the same time, the main vector in this area is the coordination of the content and component composition of professional training with the demands of the labor market and with the urgent need to increase the availability of…

Research suggests that both internal (i.e., lying) and external (i.e., misinformation) factors can affect memory for a crime. We aimed to explore the effects of post-event misinformation on crime-related amnesia claims. We showed participants a mock crime and asked them to either simulate amnesia (simulators) or confess to it (confessors). Next,…

This article draws on a multi-disciplinary project based on the David Almond archives at Seven Stories, the National Centre for Children's Books in Newcastle upon Tyne, UK. The project combined archival research, augmented reality (AR) technology, Almond's magical realist writing and experimental workshops to explore whether AR can enhance young…

Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…

Purpose: To assess changes in criterion validity when modifying cut-points for use in different epoch lengths. Method: Simulated free-living data came from 42 adolescents (2-hr each) and 29 adults (6-hr each) wearing a hip-worn accelerometer and portable indirect calorimeter (Cosmed K4b[superscript 2]). K4b[superscript 2] data were classified as…

Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…

The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…

A new index of item discrimination power (IDP), dimension-corrected Somers' D (D2) is proposed. Somers' D is one of the superior alternatives for item-total- (Rit) and item-rest correlation (Rir) in reflecting the real IDP with items with scales 0/1 and 0/1/2, that is, up to three categories. D also reaches the extreme value +1 and -1 correctly…

Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…

The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…

Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…

This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and…