Recent years have seen an unprecedented growth and geographic dispersion in international student mobility. In this paper, we empirically test the predictions of two competing theoretical models underpinning the determinants of student mobility -- the human capital model and the migration model -- across traditional and emerging destinations. Our…

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. Each student's knowledge is modeled by estimating the performance of the student on the learning activities. It is an important research area for providing a personalized learning platform to…

Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…

Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…

Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…

Given that society combines a poor ability to predict future technology with a good ability to forget poor past predictions, the author decided to create a course on "the history of future technology." The initial idea was to simply showcase a litany of failed technofuturist attempts and projects, and, in so doing, teach students to be…

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…

We examined the longitudinal contribution of awareness of inflections and derivations to reading comprehension in Arabic, a morphologically rich language, among 734 second graders. Morphological awareness, phonological awareness, word decoding and reading comprehension tasks were delivered at the beginning and at the end of the school year.…

Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…

This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…

This study examined whether thinking style mediated relationships between belief in conspiracy and schizotypy facets. A UK-based sample of 421 respondents completed the Generic Conspiracist Beliefs Scale (GCBS), Oxford-Liverpool Inventory of Feelings and Experiences Short (O-Life), and measures indexing preferential thinking style (proneness to…

Epistemic beliefs -- one's beliefs about the nature of knowledge -- have been recognized as important predictors of learning outcomes. This study focuses on the role of epistemic beliefs in predicting citizen engagement with science and technology. In accordance with theories of learning and domain knowledge acquisition, the findings highlight the…

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…

Studies on physics identity have shown that it is one of the main factors that can predict a person's persistence in the field; therefore, studying physics identity is critical to increase diversity within the field of physics and to understand what changes can allow more women and minorities to identify with the field. In this study, we…