We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…

We describe lessons learned from one-and-a-half decades of global virtual immersion practices in subsistence marketplaces, and explore implications for international business teaching and learning in the post-pandemic world. Global virtual immersion refers to bottom-up learning experiences, typically in contexts much different than what we may be…

Virtual Exchange (VE) has grown out of telecollaboration, which originated in the language-teaching field and has now expanded to all areas of knowledge as a collaborative methodology to enhance learning and fostering soft skills and intercultural competences. VE has recently received growing interest from higher education institutions due to the…

Preservice teachers (PSTs) often experience professional anxiety when managing their classrooms. These feelings of anxiety can be reduced, and their feelings of self-efficacy increased by training PSTs' interpersonal competence. This study used authentic learning experiences combining theoretical lectures and 360-degree videos watched with virtual…

The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

Individual differences (IDs) play an important role in the second language learning process and explain the varied experiences of the L2 learner. The two major IDs, language aptitude and motivation, can be primary factors in one's ultimate proficiency. While language aptitude is largely fixed, motivation is malleable and can aid in overcoming…

The rapid expansion of new technologies into every sector has contributed to the proliferation of alternative models of education, learning, and skill signaling in global labor markets. From digital badges to bootcamps to learning and employment records (LERs), a wide range of public, private, and nonprofit initiatives and platforms have emerged…

In this paper, we describe the design for PurpleState, an internship simulation that applies the epistemic game model for informed civic learning. PurpleState places students in the role of interns at a political media firm and asks them to design a media campaign on a state level policy issue. Unlike the use of these models in STEM education,…

In this article, the author has discussed about the Mobile Augmented Reality and enhancing education through it. The aim of the present study was to give some general information about mobile augmented reality which helps to boost education. Purpose of the current study reveals the mobile networks which are used in the institution campus as well…

In order to investigate the complexity of mutations, a computational approach named Genome Evolution by Matrix Algorithms ("GEMA") has been implemented. GEMA models genomic changes, taking into account hundreds of mutations within each individual in a population. By modeling of entire human chromosomes, GEMA precisely mimics real…

Computational tools and methods have permeated multiple science and engineering disciplines, because they enable scientists and engineers to process large amounts of data, represent abstract phenomena, and to model and simulate complex concepts. In order to prepare future engineers with the ability to use computational tools in the context of…

Gross anatomy is located in a three-dimensional space. Visualizing aspects of structures in gross anatomy education should aim to provide information that best resembles their original spatial proportions. Stereoscopic three-dimensional imagery might offer possibilities to implement this aim, though some research has revealed potential impairments…

In applications of item response theory (IRT), an estimate of the reliability of the ability estimates or sum scores is often reported. However, analytical expressions for the standard errors of the estimators of the reliability coefficients are not available in the literature and therefore the variability associated with the estimated reliability…

We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…